William L. Hamilton

12 papers receiving 1.5k citations

Hit Papers

Diachronic Word Embeddings Reveal Statistical Laws of Sem...20162026201920222016202020172020100200300400

Peers

William L. Hamilton
Comparison fields: 5 of 144
  • Artificial Intelligence 869
  • Sociology and Political Science 270
  • Statistical and Nonlinear Physics 207
  • Cultural Studies 188
  • Information Systems 128
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Citations per field
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Citations per year

Countries citing papers authored by William L. Hamilton

Since Specialization
Citations

This map shows the geographic impact of William L. Hamilton'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. Hamilton 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. Hamilton more than expected).

Fields of papers citing papers by William L. Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of William L. Hamilton. A scholar is included among the top collaborators of William L. Hamilton 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. Hamilton. William L. Hamilton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 6
2
Directional graph networks
18
3 33
4
Graph Representation Learningbreakdown →
298
5
Graph Representation Learningbreakdown →
217
6
Compositional Fairness Constraints for Graph Embeddings
9
7 17
8
Language from police body camera footage shows racial disparities in officer respectbreakdown →
232
9
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Changebreakdown →
404
10 117
11 191
12
Family Child Care Home Participation in the CACFP— Effects of Reimbursement Tiering A Report to Congress on the Family Child Care Homes Legislative Changes Study
0
13
Federally supported mathematical models : survey and analysis : data resources, incorporated prepared for National Science Foundation June 1974
4
14 0

About William L. Hamilton

William L. Hamilton is a scholar working on Statistical and Nonlinear Physics, Cultural Studies and Artificial Intelligence, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (6 papers), Complex Network Analysis Techniques (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Artificial Intelligence (869 citations), Cultural Studies (188 citations) and General Social Sciences (74 citations). William L. Hamilton has collaborated with scholars based in United States, Canada and Algeria. Frequent co-authors include Dan Jurafsky, Jure Leskovec, Kevin B. Clark, Rebecca C. Hetey, Vinodkumar Prabhakaran, David Jurgens, Jennifer L. Eberhardt, Nicholas P. Camp, Rob Voigt and Vladimir Reinharz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

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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