Jay Kelley

3.3k citations
57 papers · 2.0k · h-index 27

Impact in

  • Paleontology top 0.5%
    • Evolution and Paleontology Studies
  • Anthropology top 0.5%
    • Pleistocene-Era Hominins and Archaeology

Papers in

Jay Kelley

56 papers receiving 1.9k citations

Peers

Jay Kelley
Comparison fields: 5 of 103
  • Paleontology 1.3k
  • Anthropology 698
  • Social Psychology 1.1k
  • Developmental Biology 102
  • Ecology, Evolution, Behavior and Systematics 516
Replace Masanaru Takai with:
Masanaru Takai Japan
Brigitte Sénut France
Meike Köhler Spain
Terry Harrison United States
David R. Begun Canada
John Kappelman United States
Isaac Casanovas‐Vilar Spain
Laura MacLatchy United States
Yutaka Kunimatsu Japan
Russell L. Ciochon United States
Jay Kelley relative to Masanaru Takai Japan Masanaru Takai's profile →
Citations per field
00.5×3.5×
Masanaru Takai · 1×
Citations per year

Countries citing papers authored by Jay Kelley

Since Specialization
Citations

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

Fields of papers citing papers by Jay Kelley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002383
2 1999103
3 200285
4 200384
5
The hominoid radiation in Asia
200268
6 199166
7 200965
8 199855
9 198654
10 201552
11 200451
12 199148
13 201348
14 200845
15 198845
16 201943
17 199542
18 200739
19 201439
20 201236

About Jay Kelley

Jay Kelley is a scholar working on Social Psychology, Paleontology, Ecology, Evolution, Behavior and Systematics, Ecology and Anthropology, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (39 papers), Evolution and Paleontology Studies (38 papers), Bat Biology and Ecology Studies (20 papers), Wildlife Ecology and Conservation (18 papers), Pleistocene-Era Hominins and Archaeology (15 papers), Paleontology and Evolutionary Biology (5 papers), Human-Animal Interaction Studies (4 papers) and Geology and Paleoclimatology Research (3 papers). The work is most often cited by research in Paleontology (1.3k citations), Anthropology (698 citations), Social Psychology (1.1k citations), Developmental Biology (102 citations) and Ecology, Evolution, Behavior and Systematics (516 citations). Jay Kelley has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include David Pilbeam, Lawrence J. Flynn, Gary T. Schwartz, John C. Barry, Tanya M. Smith, S. Mahmood Raza, Michèle E. Morgan, Peter Andrews, Catherine Badgley and Jason F. Hicks. Their work appears in journals such as Journal of Human Evolution, American Journal of Physical Anthropology, Proceedings of the National Academy of Sciences, Folia Primatologica and Scientific Reports.

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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