William L. Davis

98 total papers · 1.8k total citations
53 papers, 843 citations indexed

About

William L. Davis is a scholar working on Economics and Econometrics, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, William L. Davis has authored 53 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 6 papers in Clinical Psychology and 6 papers in Sociology and Political Science. Recurrent topics in William L. Davis's work include Economic Theory and Institutions (5 papers), Innovations in Educational Methods (4 papers) and Archaeology and Natural History (3 papers). William L. Davis is often cited by papers focused on Economic Theory and Institutions (5 papers), Innovations in Educational Methods (4 papers) and Archaeology and Natural History (3 papers). William L. Davis collaborates with scholars based in United States and Canada. William L. Davis's co-authors include E. Jerry Phares, Arnold S. Kahn, E. Ritchie, Jude Dzevela Kong, Frank G. Moody, J. R. Clark, Hao Wang, Gordon L. Brady, Daniel B. Klein and Brian N. Victoroff and has published in prestigious journals such as Journal of Personality and Social Psychology, Gastroenterology and American Journal of Obstetrics and Gynecology.

In The Last Decade

William L. Davis

46 papers receiving 678 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William L. Davis 219 215 145 98 95 53 843
Gerald P. Ginsburg 237 1.1× 286 1.3× 170 1.2× 125 1.3× 91 1.0× 40 907
Yakov M. Epstein 281 1.3× 234 1.1× 95 0.7× 122 1.2× 49 0.5× 43 881
Siu L. Chow 185 0.8× 203 0.9× 160 1.1× 175 1.8× 68 0.7× 40 1.0k
Mary M. Omodei 309 1.4× 314 1.5× 117 0.8× 93 0.9× 63 0.7× 29 904
Clare M. Mehta 236 1.1× 234 1.1× 141 1.0× 82 0.8× 43 0.5× 33 708
Ignacio Pedrosa 136 0.6× 287 1.3× 192 1.3× 108 1.1× 70 0.7× 52 932
Anastassiya Kovaleva 185 0.8× 197 0.9× 214 1.5× 121 1.2× 66 0.7× 36 713
Daniel Sachau 257 1.2× 276 1.3× 162 1.1× 98 1.0× 49 0.5× 33 868
Gary N. Burns 304 1.4× 340 1.6× 367 2.5× 132 1.3× 79 0.8× 47 923
Osvaldo F. Morera 136 0.6× 224 1.0× 223 1.5× 78 0.8× 31 0.3× 60 869

Countries citing papers authored by William L. Davis

Since Specialization
Citations

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

Fields of papers citing papers by William L. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William L. Davis. 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 William L. Davis. The network helps show where William L. Davis may publish in the future.

Co-authorship network of co-authors of William L. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of William L. Davis. A scholar is included among the top collaborators of William L. Davis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William L. Davis. William L. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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