Paul Cuff

48 papers receiving 1.0k citations

Peers

Paul Cuff
Comparison fields: 5 of 66
  • Computer Networks and Communications 386
  • Electrical and Electronic Engineering 636
  • Artificial Intelligence 336
  • Computational Theory and Mathematics 127
  • Computer Vision and Pattern Recognition 144
Replace Changho Suh with:
Changho Suh South Korea
Qian Yu United States
Oren Somekh United States
Vitaly Feldman United States
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Ahmad Beirami United States
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Ömer Eğecioǧlu United States
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Citations per field
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Citations per year

Countries citing papers authored by Paul Cuff

Since Specialization
Citations

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

Fields of papers citing papers by Paul Cuff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010124
2 2013119
3 2016106
4 200880
5 201676
6 201456
7 200843
8 201636
9 200935
10
Communication in networks for coordinating behavior
200933
11 201125
12 201120
13 201719
14 201717
15 201515
16 201115
17 201215
18 201415
19 201815
20 201214

About Paul Cuff

Paul Cuff is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Molecular Biology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (27 papers), Chaos-based Image/Signal Encryption (11 papers), Cooperative Communication and Network Coding (6 papers), DNA and Biological Computing (6 papers), Diffusion and Search Dynamics (5 papers), Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Recommender Systems and Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (386 citations), Electrical and Electronic Engineering (636 citations), Artificial Intelligence (336 citations), Computational Theory and Mathematics (127 citations) and Computer Vision and Pattern Recognition (144 citations). Paul Cuff has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Haim H. Permuter, Thomas M. Cover, Curt Schieler, Sergio Verdú, Jingbo Liu, Benjamin Van Roy, Tsachy Weissman, Sanjeev R. Kulkarni, Ziv Goldfeld and Abbas El Gamal. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Journal of Solid-State Circuits, IEEE Transactions on Communications, IEEE Transactions on Automatic Control and Journal of Statistical Physics.

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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