James A. Pharmer

38 total papers · 568 total citations
16 papers, 386 citations indexed

About

James A. Pharmer is a scholar working on Social Psychology, Information Systems and Safety, Risk, Reliability and Quality. According to data from OpenAlex, James A. Pharmer has authored 16 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Social Psychology, 4 papers in Information Systems and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in James A. Pharmer's work include Human-Automation Interaction and Safety (10 papers), Technology Assessment and Management (4 papers) and Software Engineering Techniques and Practices (3 papers). James A. Pharmer is often cited by papers focused on Human-Automation Interaction and Safety (10 papers), Technology Assessment and Management (4 papers) and Software Engineering Techniques and Practices (3 papers). James A. Pharmer collaborates with scholars based in United States and Australia. James A. Pharmer's co-authors include Clint Bowers, Eduardo Salas, Alan F. Stokes, Nita Lewis Shattuck, Gwendolyn E. Campbell, Dennis E. White, John V. Winters, Eric J. Stöhr, Mustapha Mouloua and Maureen L. Bergondy and has published in prestigious journals such as Small Group Research, Perceptual and Motor Skills and JUCS - Journal of Universal Computer Science.

In The Last Decade

James A. Pharmer

14 papers receiving 343 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James A. Pharmer 160 154 126 107 78 16 386
Maria Riaz Hamdani 173 1.1× 50 0.3× 201 1.6× 113 1.1× 46 0.6× 15 422
Eric M. Stark 202 1.3× 47 0.3× 169 1.3× 97 0.9× 108 1.4× 11 411
James M. Schmidtke 122 0.8× 94 0.6× 53 0.4× 119 1.1× 57 0.7× 15 362
John E. Baird 169 1.1× 96 0.6× 73 0.6× 118 1.1× 55 0.7× 27 391
Hsi-An Shih 155 1.0× 60 0.4× 232 1.8× 140 1.3× 75 1.0× 9 432
Victor D. Wall 152 0.9× 61 0.4× 107 0.8× 201 1.9× 56 0.7× 13 340
Sylvester Taylor 151 0.9× 49 0.3× 126 1.0× 131 1.2× 32 0.4× 21 407
Kristin Knipfer 59 0.4× 73 0.5× 110 0.9× 69 0.6× 28 0.4× 31 400
C. Justice Tillman 122 0.8× 79 0.5× 208 1.7× 104 1.0× 35 0.4× 18 412
Andrew Yu 181 1.1× 61 0.4× 214 1.7× 147 1.4× 47 0.6× 13 424

Countries citing papers authored by James A. Pharmer

Since Specialization
Citations

This map shows the geographic impact of James A. Pharmer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James A. Pharmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Pharmer more than expected).

Fields of papers citing papers by James A. Pharmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Pharmer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James A. Pharmer. The network helps show where James A. Pharmer may publish in the future.

Co-authorship network of co-authors of James A. Pharmer

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Pharmer. A scholar is included among the top collaborators of James A. Pharmer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James A. Pharmer. James A. Pharmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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