Carl Livadas

10 total papers · 770 total citations
7 papers, 382 citations indexed

About

Carl Livadas is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Carl Livadas has authored 7 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Carl Livadas's work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Carl Livadas is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Carl Livadas collaborates with scholars based in United States and United Kingdom. Carl Livadas's co-authors include W. Timothy Strayer, David Lapsley, Robert Walsh, John Mark Agosta, Jaideep Chandrashekar, B. Schwartz, David Zage, Eve M. Schooler, Christine E. Jones and J. Kim and has published in prestigious journals such as International Journal of Sensor Networks.

In The Last Decade

Carl Livadas

7 papers receiving 349 citations

Author Peers

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

Author Last Decade Papers Cites
Carl Livadas 373 307 234 68 13 7 382
Xinzhou Qin 345 0.9× 219 0.7× 191 0.8× 129 1.9× 35 2.7× 7 378
Chih Fong Tsai 312 0.8× 294 1.0× 159 0.7× 56 0.8× 22 1.7× 6 387
Cristian Morariu 351 0.9× 264 0.9× 125 0.5× 51 0.8× 47 3.6× 11 367
Xianwei Gao 382 1.0× 315 1.0× 261 1.1× 69 1.0× 10 0.8× 7 445
Sherri Sparks 254 0.7× 223 0.7× 229 1.0× 107 1.6× 36 2.8× 10 377
Gözde Karataş 337 0.9× 295 1.0× 214 0.9× 54 0.8× 7 0.5× 12 395
Daniele Ucci 332 0.9× 162 0.5× 343 1.5× 184 2.7× 5 0.4× 11 404
K. Munivara Prasad 333 0.9× 260 0.8× 224 1.0× 74 1.1× 13 1.0× 15 400
Tom Auld 332 0.9× 356 1.2× 116 0.5× 54 0.8× 50 3.8× 4 412
Mahmood Yousefi‐Azar 219 0.6× 311 1.0× 152 0.6× 76 1.1× 3 0.2× 6 428

Countries citing papers authored by Carl Livadas

Since Specialization
Citations

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

Fields of papers citing papers by Carl Livadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Livadas

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

All Works

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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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2026