Carol E. Brown

71 papers receiving 1.0k citations

Peers

Carol E. Brown
Comparison fields: 5 of 136
  • Management Information Systems 273
  • Accounting 307
  • Radiological and Ultrasound Technology 60
  • Molecular Medicine 60
  • Management Science and Operations Research 157
Replace Jang Bahadur Singh with:
Jang Bahadur Singh India
Robert A. Leitch United States
Rashedul Hasan United States
Andrew Ifesinachi Daraojimba Nigeria
Fernando García Spain
Hesham Magd Oman
Arieh Gavious Israel
Xinxin Li China
Edward G. Schilling United States
Cheryl Martin United States
Carol E. Brown relative to Jang Bahadur Singh India Jang Bahadur Singh's profile →
Citations per field
00.5×8.6×
Jang Bahadur Singh · 1×
Citations per year

Countries citing papers authored by Carol E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Carol E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Carol E. Brown, 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 Carol E. Brown Line = papers co-authored together Carol E. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006109
2 2000105
3 1975103
4 197397
5 200695
6 200792
7 199147
8 199337
9 199535
10 199431
11 201831
12 200030
13 202021
14 202018
15 199218
16 202118
17 201416
18 201915
19 202015
20 201115

About Carol E. Brown

Carol E. Brown is a scholar working on General Health Professions, Management Information Systems, Accounting, Radiological and Ultrasound Technology and Social Psychology, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Workplace Health and Well-being (9 papers), Occupational Health and Safety Research (8 papers), Auditing, Earnings Management, Governance (6 papers), Accounting Education and Careers (5 papers), Big Data and Business Intelligence (4 papers), Education, Achievement, and Giftedness (4 papers), Infrared Thermography in Medicine (3 papers) and Risk and Safety Analysis (2 papers). The work is most often cited by research in Management Information Systems (273 citations), Accounting (307 citations), Radiological and Ultrasound Technology (60 citations), Molecular Medicine (60 citations) and Management Science and Operations Research (157 citations). Carol E. Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Amelia A. Baldwin, Ramon J. Seidler, Brad S. Trinkle, M. D. Knittel, Jeffrey Wong, Lee S. Newman, Liliana Tenney, Natalie V. Schwatka, Miranda Dally and Norma Nielson. Their work appears in journals such as Journal of Occupational and Environmental Medicine, Expert Systems with Applications, International Journal of Environmental Research and Public Health, BMC Public Health and American Journal of Industrial Medicine.

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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