Stephen Judd

1.6k citations
38 papers · 1.1k · h-index 17

Impact in

Papers in

Stephen Judd

35 papers receiving 1.1k citations

Peers

Stephen Judd
Comparison fields: 5 of 132
  • Reproductive Medicine 347
  • Endocrinology, Diabetes and Metabolism 378
  • Behavioral Neuroscience 60
  • Family Practice 33
  • Statistical and Nonlinear Physics 146
Replace Rebecca S. Crowley with:
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Citations per field
00.5×10×20×30×40×48.7×
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Citations per year

Countries citing papers authored by Stephen Judd

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Judd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988113
2 1978110
3 2009103
4 1979100
5 197672
6 201071
7 198466
8 199862
9 197954
10 198045
11
Design for Dementia
199845
12 198939
13 199237
14 200835
15 199821
16 198618
17 201218
18
Nets with Unreliable Hidden Nodes Learn Error-Correcting Codes
199216
19 201015
20 199514

About Stephen Judd

Stephen Judd is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Genetics, Public Health, Environmental and Occupational Health and Sociology and Political Science, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian function and disorders (12 papers), Hypothalamic control of reproductive hormones (10 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Estrogen and related hormone effects (6 papers), Menstrual Health and Disorders (4 papers), Experimental Behavioral Economics Studies (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Reproductive Medicine (347 citations), Endocrinology, Diabetes and Metabolism (378 citations), Behavioral Neuroscience (60 citations), Family Practice (33 citations) and Statistical and Nonlinear Physics (146 citations). Stephen Judd has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Michael Kearns, S. S. C. YEN, Jeffrey S. Rakoff, Samuel S.C. Yen, M. E. QUIGLEY, Jinsong Tan, Yevgeniy Vorobeychik, L. Lazarus, Jennifer R. Wortman and GA Smythe. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility, Clinical Endocrinology, Proceedings of the National Academy of Sciences and The Medical Journal of Australia.

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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