Thomas H. Spencer

1.3k total citations
27 papers, 739 citations indexed

About

Thomas H. Spencer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Thomas H. Spencer has authored 27 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 9 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Thomas H. Spencer's work include Complexity and Algorithms in Graphs (15 papers), Advanced Graph Theory Research (11 papers) and Algorithms and Data Compression (8 papers). Thomas H. Spencer is often cited by papers focused on Complexity and Algorithms in Graphs (15 papers), Advanced Graph Theory Research (11 papers) and Algorithms and Data Compression (8 papers). Thomas H. Spencer collaborates with scholars based in United States, Israel and Italy. Thomas H. Spencer's co-authors include Zvi Galil, Harold N. Gabow, Robert E. Tarjan, Mark Goldberg, David Eppstein, Giuseppe F. Italiano, Lewis Ntaimo, Michael L. Fredman, Jianbang Gan and James R. Ganaway and has published in prestigious journals such as European Journal of Operational Research, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Thomas H. Spencer

25 papers receiving 673 citations

Peers

Thomas H. Spencer
Comparison fields: 5 of 78
  • Computational Theory and Mathematics 367
  • Computer Networks and Communications 240
  • Artificial Intelligence 180
  • Computer Vision and Pattern Recognition 99
  • Signal Processing 86
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Michael D. Grigoriadis United States View profile →
Citations per field, relative to Thomas H. Spencer
Thomas H. Spencer · 1×
Citations per year, relative to Thomas H. Spencer
Thomas H. Spencer · 1×

Countries citing papers authored by Thomas H. Spencer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas H. Spencer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas H. Spencer. 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 Thomas H. Spencer. The network helps show where Thomas H. Spencer may publish in the future.

Co-authorship network of co-authors of Thomas H. Spencer

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 39
2 1
3 28
4 17
5 17
6 1
7 2
8 5
9 1
10
On the size of independent sets in hypergraphs
6
11 13
12 22
13 6
14 1
15 6
16 43
17 42
18 43
19 9
20 27

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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