W Greenleaf

2.5k citations
26 papers · 1.7k indexed · h-index 15

W Greenleaf

25 papers receiving 1.6k citations

Peers

W Greenleaf
Comparison fields: 5 of 136
  • Psychiatry and Mental health 549
  • Human-Computer Interaction 196
  • Endocrinology, Diabetes and Metabolism 567
  • Reproductive Medicine 231
  • Experimental and Cognitive Psychology 296
Replace Janniko R. Georgiadis with:
Janniko R. Georgiadis Netherlands
Gina M. Grimshaw New Zealand
Kirsten Jordan Germany
Kázmér Karádi Hungary
Andreas Schwerdtfeger Austria
Lorin Elias Canada
Leslie A. Burton United States
Árpád Csathó Hungary
Liliana Ruta Italy
Nils R. Varney United States
W Greenleaf relative to Janniko R. Georgiadis Netherlands Janniko R. Georgiadis's profile →
Citations per field
00.5×
Janniko R. Georgiadis · 1×
Citations per year

Countries citing papers authored by W Greenleaf

Since Specialization
Citations

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

Fields of papers citing papers by W Greenleaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 202319
4 202318
5 202119
6 202117
7 202111
8 2019140
9 2017133
10 20161
11 19974
12 199616
13 199438
14 199363
15 198971
16 1987419
17 1983271
18 198295
19 19617
20
Occupations and careers
19551

About W Greenleaf

W Greenleaf is a scholar working on Human-Computer Interaction, Human Factors and Ergonomics and Applied Psychology, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (4 papers), Virtual Reality Applications and Impacts (4 papers), Sexual function and dysfunction studies (3 papers), Evolutionary Psychology and Human Behavior (3 papers), Surgical Simulation and Training (2 papers), Neurological disorders and treatments (2 papers), Simulation-Based Education in Healthcare (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Psychiatry and Mental health (549 citations), Human-Computer Interaction (196 citations) and Endocrinology, Diabetes and Metabolism (567 citations). W Greenleaf has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Julian M. Davidson, Marie Kwan, Marie S. Carmichael, Jean M. Dixen, Richard Humbert, Lawrence M. Crapo, Jay D. Mann, Joseph A. Catania, Gary D. Gray and Elizabeth McMahon. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports, Archives of Sexual Behavior, Artificial Intelligence in Medicine and Frontiers in Psychiatry.

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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