Janet Bishop

23 papers receiving 3.1k citations

Janet Bishop's Hit Papers

Bias, prevalence and kappa 1993 · 1.6k citations
1.6k0+11+22Years since publication50010001.5k

Peers

Janet Bishop
Comparison fields: 5 of 166
  • Immunology and Allergy 255
  • Statistics, Probability and Uncertainty 221
  • Physiology 556
  • Nature and Landscape Conservation 214
  • Global and Planetary Change 359
Replace Irene L. Hudson with:
Irene L. Hudson Australia
Helmut Küchenhoff Germany
Lloyd J. Edwards United States
Dennis M. Heisey United States
Sara Balduzzi Italy
Judith E. Zeh United States
Thomas J. Keefe United States
Machelle Wilson United States
Lyle C. Gurrin Australia
Gerhard A. Zielhuis Netherlands
Janet Bishop relative to Irene L. Hudson Australia Irene L. Hudson's profile →
Citations per field
00.5×1.5×1.9×
Irene L. Hudson · 1×
Citations per year

Countries citing papers authored by Janet Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Janet Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bias, prevalence and kappa
Hit paper breakdown →
19931639
2 1991323
3 1998282
4 1990202
5 1994195
6 200894
7 200684
8 199262
9 199358
10 201053
11 200442
12 200034
13 200833
14 199132
15 200923
16 199217
17 199415
18 201115
19 20008
20 19975

About Janet Bishop

Janet Bishop is a scholar working on Global and Planetary Change, Nature and Landscape Conservation, Physiology, General Health Professions and Speech and Hearing, having authored 24 papers that have together received 3.2k indexed citations. Recurring topics across this work include Marine and fisheries research (12 papers), Fish Ecology and Management Studies (10 papers), Marine Bivalve and Aquaculture Studies (7 papers), Asthma and respiratory diseases (4 papers), Noise Effects and Management (2 papers), Reliability and Agreement in Measurement (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Immunology and Allergy (255 citations), Statistics, Probability and Uncertainty (221 citations), Physiology (556 citations), Nature and Landscape Conservation (214 citations) and Global and Planetary Change (359 citations). Janet Bishop has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include John B. Carlin, Terry Nolan, P D Phelan, Colin F. Robertson, David J. Hill, C. S. Hosking, A Olinsky, C. F. Robertson, W. N. Venables and Malcolm J. Rosier. Their work appears in journals such as Fisheries Research, Journal of Clinical Epidemiology, The Journal of Pediatrics, Pediatric Pulmonology and ICES Journal of Marine Science.

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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