Daniel R. Ellis

8 total papers · 547 total citations
7 papers, 356 citations indexed

About

Daniel R. Ellis is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Daniel R. Ellis has authored 7 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 2 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Daniel R. Ellis's work include Network Security and Intrusion Detection (4 papers), Software-Defined Networks and 5G (2 papers) and Advanced Malware Detection Techniques (2 papers). Daniel R. Ellis is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Software-Defined Networks and 5G (2 papers) and Advanced Malware Detection Techniques (2 papers). Daniel R. Ellis collaborates with scholars based in United States, India and United Kingdom. Daniel R. Ellis's co-authors include Cynthia A. Phillips, Laura Swiler, Martin Palmer, Christine Eckers, Lee W. Tetler, Vern Paxson, Nicholas Weaver, Stuart Staniford, Lirio Quintero and Qusai Darugar and has published in prestigious journals such as Journal of Chromatography A and Surface Technology.

In The Last Decade

Daniel R. Ellis

7 papers receiving 309 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel R. Ellis 297 221 190 85 24 7 356
Frederick B. Cohen 183 0.6× 125 0.6× 251 1.3× 207 2.4× 28 1.2× 12 377
Xinzhou Qin 345 1.2× 129 0.6× 191 1.0× 219 2.6× 8 0.3× 7 378
James J. McGregor 105 0.4× 42 0.2× 101 0.5× 113 1.3× 16 0.7× 8 340
Boldizsár Bencsáth 240 0.8× 139 0.6× 167 0.9× 138 1.6× 13 0.5× 9 325
Lawrie Brown 144 0.5× 144 0.7× 92 0.5× 122 1.4× 7 0.3× 5 311
Gérard Wagener 198 0.7× 176 0.8× 200 1.1× 102 1.2× 30 1.3× 12 300
Claudio Marforio 172 0.6× 249 1.1× 263 1.4× 159 1.9× 32 1.3× 11 394
Stephen Northcutt 257 0.9× 86 0.4× 112 0.6× 143 1.7× 4 0.2× 9 317
Dongkwan Kim 132 0.4× 112 0.5× 169 0.9× 151 1.8× 61 2.5× 9 361
Silvio Cesare 266 0.9× 235 1.1× 339 1.8× 117 1.4× 100 4.2× 14 401

Countries citing papers authored by Daniel R. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Ellis

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026