James E. Bailey

5.5k citations
58 papers · 4.5k · 1 hit paper · h-index 28

Impact in

Papers in

James E. Bailey

57 papers receiving 4.0k citations

James E. Bailey's Hit Papers

Development of a Tool for Measuring and Analyzing Computer User Satisfaction 1983 · 2.0k citations
2.0k0+14+28Years since publication50010001.5k2.0k

Peers

James E. Bailey
Comparison fields: 5 of 190
  • Information Systems and Management 1.3k
  • Management Information Systems 573
  • Organizational Behavior and Human Resource Management 557
  • Communication 296
  • Molecular Biology 1.6k
Replace David L. Hughes with:
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Xiaoni Zhang China
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James E. Bailey relative to David L. Hughes United Kingdom David L. Hughes's profile →
Citations per field
00.5×2×2.5×
David L. Hughes · 1×
Citations per year

Countries citing papers authored by James E. Bailey

Since Specialization
Citations

This map shows the geographic impact of James E. Bailey'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 E. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Bailey more than expected).

Fields of papers citing papers by James E. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Bailey. 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 E. Bailey. The network helps show where James E. Bailey may publish in the future.

Co-authors

The 25 scholars most cited alongside James E. Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James E. Bailey Line = papers co-authored together James E. Bailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Development of a Tool for Measuring and Analyzing Computer User Satisfaction
Hit paper breakdown →
19832017
2 2000309
3 1998243
4 2000214
5 1995202
6 1987115
7 1988114
8 196865
9 199064
10 200157
11 198557
12 198953
13 198049
14 197749
15 199746
16 199945
17 199145
18 198945
19 199243
20 199642

About James E. Bailey

James E. Bailey is a scholar working on Molecular Biology, Computer Networks and Communications, Genetics, Pharmacology and Statistical and Nonlinear Physics, having authored 58 papers that have together received 4.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Bacterial Genetics and Biotechnology (6 papers), Enzyme Structure and Function (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Hemoglobin structure and function (4 papers) and Protein purification and stability (4 papers). The work is most often cited by research in Information Systems and Management (1.3k citations), Management Information Systems (573 citations), Organizational Behavior and Human Resource Management (557 citations), Communication (296 citations) and Molecular Biology (1.6k citations). James E. Bailey has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Martin Fussenegger, Douglas D. Axe, Chaitan Khosla, Jeffrey D. Varner, Markus Rimann, Eliane Meilhoc, Charles J. Thompson, Rowan P. Morris, Cornelia Fux and Todd M. Przybycien. Their work appears in journals such as Chemical Engineering Science, Biotechnology and Bioengineering, Nature Biotechnology, Biotechnology Progress and Gene.

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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