Author Productivity and Collaboration Among Academic Scientists in Modibbo Adama University of Technology, Yola

A lot of researches on author productivity and collaboration were carried out in different fields. Many of the researches established that productive, active and prolific authors are also highly collaborative. This study determines whether the most productive author among the academic scientists in Modibbo Adama University of technology, Yola, for the period 2001 – 2010 is also the most collaborative. The study used the weighted-average method to determine the extent of author collaboration. Spearman rank correlation coefficient was used to determine the correlation between productivity and collaboration among the subjects of the study. The study reveals that thereis high degree of collaboration among the scientists and that the productive authors correlated positively with the collaborative authors

La colaboración de los autores en la literatura producida sobre la Ley de Lotka

The collaboration of authors on the literature on Lotka’s law published since 1922 to June 2010, was analyzed. 651 documents produced by 728 different authors were identified; 53.3% of those documents were produced by single authors and 46.7% were produced in collaboration by two or more authors. The collaboration index (CI), the degree of collaboration (GC) and the coefficient of collaboration (CC) indexes were used to measure the extent of collaboration. Collaboration begun at the mid-60s and since then is growing in a constant rate. Collaboration was ratified by the three indexes studied

Global and local collaborators: A study of scientific collaboration

Increased co-authorship in schistosomiasis has been shown to be associated with research funding. The small core of grantees is highly prolific. Furthermore, strong evidence points to the existence of two types of co-authors, namely, the globals who appear to co-author with individuals outside their own group, and the locals who are limited in their formal collaboration. The globals constitute a small group of highly productive scientists, whereas there is a large pool of lower-rank locals. The data supports the theory that scientific collaboration serves as a means to advance research, as well as a mechanism to increase the visibility and authorship of the highly productive.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/30294/1/0000696.pd

La colaboración de los autores en la literatura producida sobre la Ley de Lotka

Analiza la colaboración de los autores en la literatura publicada desde 1922 hasta junio del 2010 sobre la “Ley de Lotka”. Fueron identificadas 651 documentos producidos por 728 autores diferentes. Se encontró que el 53.3% de los documentos fueron producidos por autores únicos y 46.7% de los documentos fueron producidos en colaboración por dos o más autores. Esa colaboraciónes analizada con el índice de colaboración (IC), el grado de colaboración (GC) y el coeficiente de colaboración (CC). Se demuestra que existe un comportamiento de colaboración entre los científicos que investigan sobre la productividad científica de los autores. Esta colaboración se inicia a mediados de la década de los 60s y desde entonces está en pleno crecimiento. Este crecimiento es ratificado por los tres índices estudiados. Palabras clave Colaboración científica. Ley de Lotka. Índice de colaboración. Grado de colaboración. Coeficiente de colaboración. Bibliometría. Cienciometría. Informetría. Author’s collaboration on Lotka’s Law literature Abstract The collaboration of authors on the literature on Lotka’s law published since 1922 to June 2010, was analyzed. 651 documents produced by 728 different authors were identified; 53.3% of those documents were produced by single authors and 46.7% were produced in collaboration by two or more authors. The collaboration index (CI), the degree of collaboration (GC) and the coefficient of collaboration (CC) indexes were used to measure the extent of collaboration. Collaboration begun at the mid-60s and since then is growing in a constant rate. Collaboration was ratified by the three indexes studied. Keywords Scientific collaboration. Lotka’s law. Collaboration Index. Degree of collaboration. Collaboration Coefficient. Bibliometrics. Scientometrics; Informetrics

La colaboración de los autores en la literatura producida sobre la Ley de Lotka

The collaboration of authors on the literature on Lotka’s law published since 1922 to June 2010, was analyzed. 651 documents produced by 728 different authors were identified; 53.3% of those documents were produced by single authors and 46.7% were produced in collaboration by two or more authors. The collaboration index (CI), the degree of collaboration (GC) and the coefficient of collaboration (CC) indexes were used to measure the extent of collaboration. Collaboration begun at the mid-60s and since then is growing in a constant rate. Collaboration was ratified by the three indexes studied

Cooperation and Turnover in Law Faculties: A Game-Theoretic Model and an Empirical Study

A standard account of group cooperation would predict that group stability would bring about greater cooperation because repeat-play games would allow for sanctions and rewards. In an academic unit such as a department or a law faculty, one might thus expect that faculty stability would bring about greater cooperation. However, academic units are not like most other groups. Tenured professors face only limited sanctions for failing to cooperate, for engaging in unproductive conflict, or for shirking. This article argues counter-intuitively that within limits, some level of faculty turnover may enhance cooperation. Certainly, excessive and persistent loss of faculty is demoralizing, and reduces the number of individuals among which administrative work can be spread. But for less dire losses, faculty turnover may play the disciplining role that academic units are deprived of by the tenure system. This article sets forth a game-theoretic model showing how the possibility of faculty turnover may induce greater cooperation in a faculty. The intuition is that while some antisocial behavior in a faculty — fighting or shirking — may garner some short-term gains at the expense of others, the possibility of exit may reduce this behavior, because loss of a colleague could be worse than the gains from fighting or shirking. Losing a colleague means probably losing a productive colleague, taking the time to replace her, and possibly replacing her with a less productive substitute. These downsides may play a role in curbing unproductive behavior in a faculty. This article presents some empirical evidence in support of the hypothesis that faculty turnover short of some excessive amount does, in fact, produce higher levels of collegiality and collaboration

The Interdependence of Scientists in the Era of Team Science: An Exploratory Study Using Temporal Network Analysis

How is the rise in team science and the emergence of the research group as the fundamental unit of organization of science affecting scientists’ opportunities to collaborate? Are the majority of scientists becoming dependent on a select subset of their peers to organize the intergroup collaborations that are becoming the norm in science? This dissertation set out to explore the evolving nature of scientists’ interdependence in team-based research environments. The research was motivated by the desire to reconcile emerging views on the organization of scientific collaboration with the theoretical and methodological tendencies to think about and study scientists as autonomous actors who negotiate collaboration in a dyadic manner. Complex Adaptive Social Systems served as the framework for understanding the dynamics involved in the formation of collaborative relationships. Temporal network analysis at the mesoscopic level was used to study the collaboration dynamics of a specific research community, in this case the genomic research community emerging around GenBank, the international nucleotide sequence databank. The investigation into the dynamics of the mesoscopic layer of a scientific collaboration networked revealed the following—(1) there is a prominent half-life to collaborative relationships; (2) the half-life can be used to construct weighted decay networks for extracting the group structure influencing collaboration; (3) scientists across all levels of status are becoming increasingly interdependent, with the qualification that interdependence is highly asymmetrical, and (4) the group structure is increasingly influential on the collaborative interactions of scientists. The results from this study advance theoretical and empirical understanding of scientific collaboration in team-based research environments and methodological approaches to studying temporal networks at the mesoscopic level. The findings also have implications for policy researchers interested in the career cycles of scientists and the maintenance and building of scientific capacity in research areas of national interest

Exploring the factors related to academic publication productivity among selected Malaysian academic engineers and scientists

This is an exploratory study, which aims to examine the factors affecting the research publication productivity of academic engineers and scientists from the National University of Malaysia (UKM) and University of Malaya (UM). This study aims to identify problems, as well as increase the understanding of factors conducive for a productive academic research environment. [Continues.

Impact of Funding on Scientific Output and Collaboration

This dissertation reports the results of a comprehensive quantitative analysis of the inter-relations among research funding, scientific output, and collaboration. The research employed various methods and methodologies (i.e. data and text mining, statistical analysis, social network analysis, bibliometrics, survey data analysis, and visualization techniques) to investigate the impact of influencing factors on researchers’ performance, their amount of funding, and collaboration patterns. Moreover, a machine learning framework was suggested and validated for scientific evaluation of the researchers based on their productivity and level of funding. The Natural Sciences and Engineering Research Council of Canada (NSERC) was selected as the source of funding in this research since it is the main federal funding organization in Canada and almost all the Canadian researchers in natural sciences and engineering receive at least a basic research grant from NSERC. The required data on the scientific publications (e.g. co-authors, their affiliations, year of publication) was collected from Elsevier’s Scopus. SCImago was selected for collecting the impact factor information of the journals in which the articles were published in as well as the annual citation counts of publications. The data was gathered and integrated for the time span of 1996 to 2010. The most significant contributions are: 1) the unique data extraction and gathering procedure that enhanced the accuracy of the target data, 2) the comprehensive triangulation technique which was employed in this research that included various methodologies and used new variables for assessing the inter-relations, 3) the proposed machine learning framework for classifying researchers and predicting their productivity and level of funding