Bente Flatland

50 papers receiving 1.0k citations

Peers

Bente Flatland
Comparison fields: 5 of 92
  • Equine 123
  • Small Animals 297
  • Critical Care and Intensive Care Medicine 120
  • Statistics, Probability and Uncertainty 138
  • Internal Medicine 58
Replace Mary B. Nabity with:
Mary B. Nabity United States
Jean‐Pierre Braun France
J. Koch Denmark
Søren Boysen Canada
Daniel L. Chan United Kingdom
Deborah C. Silverstein United States
Kate Hopper United States
Keith W. Prasse United States
Pamela A. Wilkins United States
Gregory F. Grauer United States
Bente Flatland relative to Mary B. Nabity United States Mary B. Nabity's profile →
Citations per field
00.5×8.3×
Mary B. Nabity · 1×
Citations per year

Countries citing papers authored by Bente Flatland

Since Specialization
Citations

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

Fields of papers citing papers by Bente Flatland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013181
2 201490
3 201078
4 201465
5 201364
6 201863
7 201256
8 200849
9 200948
10 200847
11 201437
12 199634
13 201029
14 201425
15 201520
16 202018
17 200515
18 201813
19 202112
20 20009

About Bente Flatland

Bente Flatland is a scholar working on Physiology, Small Animals, Statistics and Probability, Statistics, Probability and Uncertainty and Epidemiology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (28 papers), Statistical Methods in Clinical Trials (11 papers), Meta-analysis and systematic reviews (8 papers), Veterinary Equine Medical Research (5 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers), Veterinary Oncology Research (3 papers), Reliability and Agreement in Measurement (3 papers) and Animal testing and alternatives (3 papers). The work is most often cited by research in Equine (123 citations), Small Animals (297 citations), Critical Care and Intensive Care Medicine (120 citations), Statistics, Probability and Uncertainty (138 citations) and Internal Medicine (58 citations). Bente Flatland has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Kathleen P. Freeman, Kendal E. Harr, Mary B. Nabity, Linda M. Vap, Michael M. Fry, Kristen R. Friedrichs, Robert Goggs, Bo Wiinberg, Melinda S. Camus and Randolph M. Baral. Their work appears in journals such as Veterinary Clinical Pathology, Journal of the American Veterinary Medical Association, Journal of the American Animal Hospital Association, Journal of Veterinary Emergency and Critical Care and Journal of Veterinary Internal 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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