J. Higgins

46 papers receiving 894 citations

Peers

J. Higgins
Comparison fields: 5 of 122
  • Virology 390
  • Radiological and Ultrasound Technology 154
  • Statistics, Probability and Uncertainty 181
  • Infectious Diseases 178
  • Agronomy and Crop Science 93
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Citations per year

Countries citing papers authored by J. Higgins

Since Specialization
Citations

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

Fields of papers citing papers by J. Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Higgins. 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 J. Higgins. The network helps show where J. Higgins may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990124
2 1993121
3 1990111
4
Human Factors Engineering Program Review Model
200463
5
Computer-Based Procedure Systems: Technical Basis and Human Factors Review Guidance
200061
6 198452
7 199151
8 199441
9
Human Factors Considerations with Respect to Emerging Technology in Nuclear Power Plants
200836
10
Advanced Information Systems Design: Technical Basis and Human Factors Review Guidance
200027
11 198521
12 200918
13 200218
14 199817
15 199317
16
Evaluation of incidental renal and adrenal masses.
200117
17 199416
18
Diagnosing Common Benign Skin Tumors.
201515
19 197914
20 199413

About J. Higgins

J. Higgins is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology, Social Psychology, Virology and Epidemiology, having authored 52 papers that have together received 968 indexed citations. Recurring topics across this work include Risk and Safety Analysis (16 papers), Occupational Health and Safety Research (14 papers), Human-Automation Interaction and Safety (12 papers), HIV Research and Treatment (8 papers), T-cell and Retrovirus Studies (5 papers), Virus-based gene therapy research (4 papers), Nuclear and radioactivity studies (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Virology (390 citations), Radiological and Ultrasound Technology (154 citations), Statistics, Probability and Uncertainty (181 citations), Infectious Diseases (178 citations) and Agronomy and Crop Science (93 citations). J. Higgins has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Niels C. Pedersen, Preston A. Marx, John M. O’Hara, N. C. Pedersen, Elfriede DeRock, Suganto Sutjipto, Espen Rimstad, Marta L. Marthas, Barbara L. Lohman and M Torten. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Virology, Nuclear Engineering and Technology, JNCI Journal of the National Cancer Institute and Hematological Oncology.

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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