Stephen R. Tate

987 total citations
34 papers, 417 citations indexed

About

Stephen R. Tate is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Stephen R. Tate has authored 34 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Stephen R. Tate's work include Cryptography and Data Security (9 papers), Optimization and Search Problems (5 papers) and Cloud Data Security Solutions (4 papers). Stephen R. Tate is often cited by papers focused on Cryptography and Data Security (9 papers), Optimization and Search Problems (5 papers) and Cloud Data Security Solutions (4 papers). Stephen R. Tate collaborates with scholars based in United States and Australia. Stephen R. Tate's co-authors include John H. Reif, Ming‐Yang Kao, Victor Y. Pan, Ping Yu, Ke Xu, Jing Deng, James B. Fenwick, Lakshmi Iyer, Barry L. Kurtz and Anthony W. Chow and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Computers and Journal of the Association for Information Systems.

In The Last Decade

Stephen R. Tate

33 papers receiving 370 citations

Peers

Stephen R. Tate
Comparison fields: 5 of 51
  • Artificial Intelligence 172
  • Computer Networks and Communications 171
  • Computer Vision and Pattern Recognition 137
  • Computational Theory and Mathematics 95
  • Management Science and Operations Research 50
Replace Ravishankar Krishnaswamy with:
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Ravishankar Krishnaswamy United States View profile →
Citations per field, relative to Stephen R. Tate
Stephen R. Tate · 1×
Citations per year, relative to Stephen R. Tate
Stephen R. Tate · 1×

Countries citing papers authored by Stephen R. Tate

Since Specialization
Citations

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

Fields of papers citing papers by Stephen R. Tate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen R. Tate. 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 Stephen R. Tate. The network helps show where Stephen R. Tate may publish in the future.

Co-authorship network of co-authors of Stephen R. Tate

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen R. Tate. A scholar is included among the top collaborators of Stephen R. Tate 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 Stephen R. Tate. Stephen R. Tate 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 1
2 0
3 1
4 22
5
Computer Science and Information Technology (CSIT) Identity: An Integrative Theory to Explain Gender Gap in IT
2
6
Performance evaluation of TPM-based digital wallets
1
7
Timing-accurate TPM simulation for what-if explorations in Trusted Computing
3
8 5
9 15
10 3
11 18
12 15
13 9
14 72
15 7
16 61
17 1
18 8
19 40
20 3

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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