Garfield number: on some characteristics of Eugene Garfield’s first and second order co-authorship networks

In this note we give an overview of the first- and second-order collaboration network reflected by Eugene Garfield’s publications in scientific journals. Although he had only a quite limited number of co-authors and co-publications, his co-authors’ own collaboration networks generate a large world-wide and multidisciplinary coverage. The classical model of co-authorship network is the Erd?s network with the Erd?s Number indicating the shortest co-authorship path through which an author is connected with Paul Erd?s. The two networks, generated by Erd?s and Garfield, respectively, show completely different patterns and characteristics but illustrate the ways how ideas of great scholars and pioneers disseminate and influence the respective scientific communities.     

Publication modalities ‘article in press’ and ‘open access’ in relation to journal average citation

Scientometrics - There has been a generalization in the use of two publication practices by scientific journals during the past decade: (1) ‘article in press’ or early view, which...     

How to improve research quality? Examining the impacts of collaboration intensity and member diversity in collaboration networks

Better research quality not only inspires scholars to continue their research, but also increases the possibility of higher research budgets from sponsors. Given the importance of research quality, this study proposes that utilizing social capital (i.e., research collaboration) might be a promising avenue to achieve better research quality. In addition, as every scholar has his or her own expertise and knowledge, the diversity of collaborating members might be an extra resource for reinforcing research quality. The purpose of this study is to investigate the impact of research collaboration and member diversity on research quality, including the number of citations, the impact factor, and the size of the research award. To explore unknown associations, the author adopts two data sources, that is, the Social Science Citation Index database and academic database of a university, to verify the hypotheses. The results show that a higher intensity at which scholars are embedded in a collaboration network, results in higher research quality. However, member diversity does not seem to be a major concern during the organization of a research group. Research quality is not affected, regardless of whether a scholar collaborates with different or the same co-authors.     

A tribute to Claude Bathias – Highlights of his pioneering work in Gigacycle Fatigue

Current fundamental academic research in the field of Gigacycle Fatigue, now frequently referred to as Very High Cycle Fatigue (VHCF), is strongly related to the pioneering work of Professor Claude Bathias during the last two decades. Claude Bathias passed away in April 2015. In the present paper, dedicated to his memory, his most important contributions in conducting and initiating fatigue studies in the area of Gigacycle Fatigue are highlighted. In light of what is known today about the details of fatigue behaviour in the range of up to 10¹⁰ cycles and more, the pivotal role of Claude Bathias cannot be overestimated. He was among the first to demonstrate, in painstaking ultrasonic fatigue studies, that a fatigue limit in the traditional sense does not exist in the Gigacycle regime. In his subsequent work on different materials, he substantiated his earlier findings experimentally and, in close collaboration with Paul Paris, quantitatively described the mechanisms of subsurface and surface VHCF failures, originating from inclusions. Together they showed that, in the VHCF range, most of the fatigue life is spent in crack initiation and not in propagation. Claude Bathias’ work stimulated worldwide research and was instrumental in the emergence and development of the current new field of Very High Cycle Fatigue.     

Mathematical and physical aspects of material failure: A tribute to Jean-Baptiste Leblond’s odyssey in fracture mechanics

International Journal of Fracture -     

Breakthrough paper indicator 2.0: can geographical diversity and interdisciplinarity improve the accuracy of outstanding papers prediction?

We report progress on new developments in the breakthrough paper indicator, which allows early selection of a small group of publications which may become potential breakthrough candidates based on dynamics of publication citations and certain qualitative characteristics of citations. We used a quantitative approach to identify typical citation patterns of highly cited papers. Based on these analyses, we propose two forecasting models to select groups of breakthrough paper candidates that exceed high citation thresholds five years post-publication. Here we study whether interdisciplinarity in the subject categories or geographical diversity serve as possible measures to improve ranking of breakthrough paper candidates. We found that ranked geographical diversities of known breakthrough papers have equal or better ranks than corresponding citations ranks. This allows us to apply additional filtering for better identifications of breakthrough candidates. We studied several interdisciplinarity indices, including richness, Shannon index, Simpson index, and Rao-Stirling-Porter index. We did not find any correlations between citation ranks and ranked interdisciplinarity indices.     

Do citations and impact factors relate to the real numbers in publications? A case study of citation rates, impact, and effect sizes in ecology and evolutionary biology

Metrics of success or impact in academia may do more harm than good. To explore the value of citations, the reported efficacy of treatments in ecology and evolution from close to 1,500 publications was examined. If citation behavior is rationale, i.e. studies that successfully applied a treatment and detected greater biological effects are cited more frequently, then we predict that larger effect sizes increases study relative citation rates. This prediction was not supported. Citations are likely thus a poor proxy for the quantitative merit of a given treatment in ecology and evolutionary biology—unlike evidence-based medicine wherein the success of a drug or treatment on human health is one of the critical attributes. Impact factor of the journal is a broader metric, as one would expect, but it also unrelated to the mean effect sizes for the respective populations of publications. The interpretation by the authors of the treatment effects within each study differed depending on whether the hypothesis was supported or rejected. Significantly larger effect sizes were associated with rejection of a hypothesis. This suggests that only the most rigorous studies reporting negative results are published or that authors set a higher burden of proof in rejecting a hypothesis. The former is likely true to a major extent since only 29 % of the studies rejected the hypotheses tested. These findings indicate that the use of citations to identify important papers in this specific discipline—at least in terms of designing a new experiment or contrasting treatments—is of limited value.     

Do faculty journal selections correspond to objective indicators of citation impact? Results for 20 academic departments at Manhattan College

Scientometrics - We examine the relationships between four citation metrics (impact factor, the numerator of the impact factor, article influence score, and eigenfactor) and the library journal...     

Network closure, brokerage, and structural influence of journals: a longitudinal study of journal citation network in Internet research (2000–2010)

The study aims to assess journals’ structural influence in Internet research and uncover the impacts of network structures on journals’ structural influence drawing on theories of network closure and structural holes. The data of the study are the citation exchanges among 1,210 journals in Communication and other seven social scientific fields (i.e., Business, Economics/Finance, Education, Information Science, Political Science, Psychology, and Sociology) in Internet research. The top two most influential journals in Internet research are American Economic Review and Journal of Personality and Social Psychology. Journals in “Communication” field emerge to be an important source of influence in Internet research, whose mean structural influence ranks third among the eight fields, below “Business” and “Economics/Finance”, but above other five fields. Journals’ structural influences are found to grow over time and the growth rates vary across journals. Network brokerage is found to exert a significant impact on journals’ structural influence, while the impact of network closure on journals’ structural influences is not significant. The impact of network brokerage on journals’ structural influence will increase over time.     

Do types of collaboration change citation? A scientometric analysis of social science publications in South Africa

Scientometrics - Scientometric studies have, by and large, focused on the features of the hard sciences rather than the soft sciences. Prior research has been highly centered around natural science...     

Patent citation network analysis of core and emerging technologies in Taiwan: 1997–2008

Identifying core technologies and emerging technologies is essential for formulating national technology strategies and policies for pursuing technological competitive advantage. This study presents a quantitative method for identifying core technologies and emerging technologies in the Taiwan technological innovation system. The objective was to gain an overview of technological development in the country by analyzing patent citation networks and by identifying five core technologies and emerging technologies in Taiwan based on United States Patent and Trademark Office (USPTO) patents granted to Taiwan during 1997–2008. The findings indicate the most appropriate management of technology and innovation and the best patent strategy and technology policy that the Taiwan government should pursue. Research institutes, industries and academia are also given research directions for choosing the technologies in which they should invest resources in order to strengthen the Taiwan technological innovation system and to increase its competitive advantage in global technology.     

A near-infrared study of hydrogen bonds in alcohols—comparison of chemometrics and spectroscopic analysis

Near-infrared (NIR) spectra of n-, sec-, and tert-butanol in CCl₄ were measured over a temperature range of 10–60°C. The spectra obtained were analyzed by both spectroscopic analytical methods such as calculations of the difference spectra and the second derivatives, and chemometrics, namely partial least squares (PLS) regression. The present study aims at comparing the spectroscopic analytical methods with chemometrics in the analysis of NIR spectra of n-, sec-, and tert-butanols in CCl₄. The three kinds of alcohol showed an intense band due to the first overtone of the OH stretching mode in the 7120–7030 cm⁻¹ (1404–1422 nm) region. The calculations of the difference spectra and the second derivatives revealed that the above bands of n- and sec-butanol consist of three and four component bands, respectively, due to the rotational isomerism of the monomer, the OH group weakly hydrogen-bonded with CCl₄, and the terminal free OH groups of the self-associated species. For tert-butanol, which does not have the rotational isomerism, the corresponding band splits into only two components. Temperature of the alcohols was predicted by use of PLS regression. The regression coefficients for the models predicting the temperature of the alcohols were almost identical with the difference spectra of the alcohols between 10 and 60°C. Both the regression coefficients and the difference spectra reflect strongly the changes in the hydrogen bonds of the alcohols.     

A systems-integration approach to the optimization of macroscopic water desalination and distribution networks: a general framework applied to Qatar’s water resources

The objective of this article is to introduce an optimization-based approach for the integrated design and operation of macroscopic water networks. A structural representation approach is developed to embed all potential configurations of interest. This representation accounts for water resources, desalination plants, water users, wastewater treatment facilities, and storage. Water recycle/reuse is enhanced via the use of treated water. Water utilization is improved by minimizing the losses of discharged water resulting from the linkage of power plants and thermal desalination plants and the lack of integration between water production and consumption. Excess water is saved in storage systems or injected in aquifers for strategic (long-term) storage. The developed approach also accounts for the economic values of water uses and storage and for the cost of water production and allocation. An optimization formulation is developed and solved to determine the optimal operation of the infrastructure. The solution also determines the optimal monthly allocation and storage of water resources. A case study is solved for managing the water resources in the State of Qatar while accounting for desalination, distribution, and storage. The solution indicates that storage in tanks reaches its maximum capacity in less than a month while storage in aquifers continues throughout the year as a strategic step towards water security. The solution also illustrates the need to treat wastewater in addition to using desalination of seawater. The output water streams with different qualities are assigned to proper destinations.     

Application of a max–min ant system to joint layout and size optimization of pipe networks

The application of a max–min ant algorithm to the layout and size optimization of pipe networks is described in this paper. The formulation conventionally used for the pipe size optimization of networks with fixed layout is extended to account for the layout determination of the networks. This is achieved by including new constraints regarding the reliability of the network and modifying some of the constraints of the optimization problem. A deterministic concept of reliability is used in which the number of independent paths from source nodes to each of the demand nodes is considered as a measure of reliability. The method starts with a predefined layout which includes all possible links. The method is capable of designing the layout and pipe sizes of water distribution networks of predefined reliability including tree-like and looped networks. It is also shown that a layout optimization of a network followed by size optimization does not lead to an optimal or a near-optimal solution. This emphasizes the need for simultaneous layout and size optimization of networks if an optimal or near-optimal solution is desired. The performance of the method for layout and pipe size optimization of pipe networks is tested against two benchmark examples in the literature and the results are presented. The first example is considered to show the necessity of joint layout and size optimization even for the simple tree networks while the second example is considered to illustrate the efficiency of the proposed method for layout and size optimization of real-world networks with different levels of reliability.     

A New Modification to Shear Lag Model as Applied to Stiffness and Yield Strength of Short Fiber Reinforced Metal Matrix Composites

A new modification for the shear lag model is given and the expressions for the stiffness and yield Strength of short fiber metal matri×composite are derived. These expressions are then compared with our experimental data in a SiCw/Al-Li T6 composite and the published experimental data on different SiCw/Al T6 composites and also compared with the previous shear lag models and the other theoretical models.