Dwight Read

93 papers receiving 1.6k citations

Peers

Dwight Read
Comparison fields: 5 of 161
  • Archeology 67
  • Paleontology 429
  • Anthropology 469
  • Cultural Studies 329
  • Developmental Biology 59
Replace James Steele with:
James Steele United Kingdom
Thomas Wynn United States
Kathleen R. Gibson United States
John Hawks United States
Michael Rogers United States
Marco de la Rasilla Vives Spain
Lucio Vinicius United Kingdom
Dietrich Stout United States
Gordon W. Hewes United States
Valentine Roux France
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Citations per year

Countries citing papers authored by Dwight Read

Since Specialization
Citations

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

Fields of papers citing papers by Dwight Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997276
2 1973173
3 1973119
4 201464
5 198262
6 200661
7 200359
8 200857
9 200854
10
KAES: An Expert System for the Algebraic Analysis of Kinship Terminologies
199046
11 200845
12 198442
13 200132
14 198632
15 197727
16 197426
17 200526
18
Population Size Does Not Predict Artifact Complexity: Analysis of Data from Tasmania, Arctic Hunter-Gatherers, and Oceania Fishing Groups
201225
19 200225
20 198625

About Dwight Read

Dwight Read is a scholar working on Anthropology, Cultural Studies, Sociology and Political Science, Experimental and Cognitive Psychology and Paleontology, having authored 100 papers that have together received 1.9k indexed citations. Recurring topics across this work include Language and cultural evolution (25 papers), Evolutionary Game Theory and Cooperation (17 papers), Pleistocene-Era Hominins and Archaeology (12 papers), Categorization, perception, and language (8 papers), Archaeology and ancient environmental studies (8 papers), Archaeology and Rock Art Studies (7 papers), Image Processing and 3D Reconstruction (6 papers) and Child and Animal Learning Development (6 papers). The work is most often cited by research in Archeology (67 citations), Paleontology (429 citations), Anthropology (469 citations), Cultural Studies (329 citations) and Developmental Biology (59 citations). Dwight Read has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Russell H. Tuttle, Pete E. Lestrel, Steven A. LeBlanc, Sander van der Leeuw, Claes Andersson, V Pesce Delfino, Teruo Uetake, David R. Johnson, Lindsay Richards and Nancy Healy‐Williams. Their work appears in journals such as Current Anthropology, American Antiquity, Social Science Computer Review, Behavioral and Brain Sciences and American Anthropologist.

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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