Stuart Williams

24 papers receiving 700 citations

Peers

Stuart Williams
Comparison fields: 5 of 92
  • Agronomy and Crop Science 274
  • Ecology, Evolution, Behavior and Systematics 214
  • Infectious Diseases 131
  • Health Informatics 10
  • Cardiology and Cardiovascular Medicine 97
Replace Inger Lilliehöök with:
Inger Lilliehöök Sweden
Robert D. Stewart United States
Kousuke Saito Japan
Harold Tvedten United States
Yuelong Guo United States
Federico Bonsembiante Italy
M. G. Weiser United States
Scott G. Baginski United States
Minoru Okamoto Japan
Yuliang Liu China
Stuart Williams relative to Inger Lilliehöök Sweden Inger Lilliehöök's profile →
Citations per field
00.5×7.8×
Inger Lilliehöök · 1×
Citations per year

Countries citing papers authored by Stuart Williams

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stuart Williams, 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 Stuart Williams Line = papers co-authored together Stuart Williams 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 201492
2 200566
3 200051
4 198549
5 200246
6 199946
7 200043
8 199342
9 198641
10 199336
11 200336
12 198133
13 200729
14 199929
15 198727
16 199518
17 199918
18 200815
19 19999
20 20087

About Stuart Williams

Stuart Williams is a scholar working on Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 747 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (11 papers), Vector-Borne Animal Diseases (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Animal Virus Infections Studies (4 papers), Medical Image Segmentation Techniques (3 papers), T-cell and Retrovirus Studies (3 papers), Radiology practices and education (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Agronomy and Crop Science (274 citations), Ecology, Evolution, Behavior and Systematics (214 citations), Infectious Diseases (131 citations), Health Informatics (10 citations) and Cardiology and Cardiovascular Medicine (97 citations). Stuart Williams has collaborated with scholars based in United Kingdom and Spain. Frequent co-authors include Philip Wilkinson, Claire Turner, Reyer Zwiggelaar, R. C. Wardley, C. J. Villeda, Andoni P. Toms, T.R. Cumby, Adrian Andreou, Daniel Connelly and David J. Wilson. Their work appears in journals such as Clinical Radiology, Journal of Applied Microbiology, European Radiology, Archives of Virology and Thrombosis and Haemostasis.

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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