J. Higgins

46 papers receiving 946 citations

Peers

J. Higgins
Comparison fields: 5 of 125
  • Virology 402
  • Radiological and Ultrasound Technology 178
  • Statistics, Probability and Uncertainty 201
  • Infectious Diseases 179
  • Medical Laboratory Technology 15
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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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990131
2 1993124
3 1990117
4
Human Factors Engineering Program Review Model
200474
5
Computer-Based Procedure Systems: Technical Basis and Human Factors Review Guidance
200069
6 198456
7 199152
8 199443
9
Human Factors Considerations with Respect to Emerging Technology in Nuclear Power Plants
200839
10
Advanced Information Systems Design: Technical Basis and Human Factors Review Guidance
200030
11 198523
12 200921
13 200220
14 199419
15
Human Factors Engineering Program Review Model (NUREG-0711) Revision 3: Update Methodology and Key Revisions
201219
16 199818
17
Evaluation of incidental renal and adrenal masses.
200118
18 199317
19 197915
20
Diagnosing Common Benign Skin Tumors.
201515

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 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Risk and Safety Analysis (18 papers), Occupational Health and Safety Research (15 papers), Human-Automation Interaction and Safety (14 papers), HIV Research and Treatment (8 papers), T-cell and Retrovirus Studies (5 papers), Nuclear and radioactivity studies (4 papers), Hepatitis B Virus Studies (3 papers) and Graphite, nuclear technology, radiation studies (3 papers). The work is most often cited by research in Virology (402 citations), Radiological and Ultrasound Technology (178 citations), Statistics, Probability and Uncertainty (201 citations), Infectious Diseases (179 citations) and Medical Laboratory Technology (15 citations). J. Higgins has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Niels C. Pedersen, John M. O’Hara, Preston A. Marx, N. C. Pedersen, Espen Rimstad, Elfriede DeRock, Suganto Sutjipto, Barbara L. Lohman, Marta L. Marthas and M Torten. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology, Hematological Oncology, Journal of Histochemistry & Cytochemistry and Veterinary Immunology and Immunopathology.

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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