David Plonka

22 total papers · 1.5k total citations
13 papers, 962 citations indexed

About

David Plonka is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, David Plonka has authored 13 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in David Plonka's work include Internet Traffic Analysis and Secure E-voting (9 papers), Network Security and Intrusion Detection (9 papers) and Anomaly Detection Techniques and Applications (5 papers). David Plonka is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (9 papers), Network Security and Intrusion Detection (9 papers) and Anomaly Detection Techniques and Applications (5 papers). David Plonka collaborates with scholars based in United States. David Plonka's co-authors include Paul Barford, Amos Ron, Jeffery Kline, Andres Jaan Tack, Jeff Kline, Archit Gupta, David L. Mills and Judah Levine and has published in prestigious journals such as USENIX Large Installation Systems Administration Conference and Defense Technical Information Center (DTIC).

In The Last Decade

David Plonka

13 papers receiving 886 citations

Hit Papers

A signal analysis of netw... 2002 2026 2010 2018 2002 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
David Plonka 882 743 138 98 88 13 962
Augustin Soule 889 1.0× 802 1.1× 223 1.6× 92 0.9× 54 0.6× 18 1.1k
Hui Zhang 1.1k 1.2× 205 0.3× 84 0.6× 51 0.5× 86 1.0× 20 1.2k
Ruoming Pang 724 0.8× 490 0.7× 198 1.4× 125 1.3× 24 0.3× 11 881
Martin Grill 707 0.8× 608 0.8× 398 2.9× 39 0.4× 31 0.4× 26 835
Tian Bu 1.0k 1.2× 231 0.3× 46 0.3× 119 1.2× 187 2.1× 30 1.2k
Bruno Quoitin 947 1.1× 217 0.3× 38 0.3× 118 1.2× 58 0.7× 47 1.1k
Y. Bartal 653 0.7× 178 0.2× 53 0.4× 88 0.9× 12 0.1× 24 935
Sebastián García 828 0.9× 764 1.0× 536 3.9× 39 0.4× 28 0.3× 25 1000
Michalis Kallitsis 852 1.0× 595 0.8× 527 3.8× 65 0.7× 16 0.2× 30 1.1k
Thang Nguyen Bui 370 0.4× 267 0.4× 28 0.2× 137 1.4× 78 0.9× 19 863

Countries citing papers authored by David Plonka

Since Specialization
Citations

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

Fields of papers citing papers by David Plonka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Plonka

This figure shows the co-authorship network connecting the top 25 collaborators of David Plonka. A scholar is included among the top collaborators of David Plonka 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 David Plonka. David Plonka 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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