Michael E. Kounavis

1.9k citations
44 papers · 1.1k · h-index 19

Impact in

Papers in

Michael E. Kounavis

44 papers receiving 996 citations

Peers

Michael E. Kounavis
Comparison fields: 5 of 60
  • Hardware and Architecture 237
  • Computer Networks and Communications 744
  • Artificial Intelligence 419
  • Computer Vision and Pattern Recognition 180
  • Information Systems 171
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Citations per year

Countries citing papers authored by Michael E. Kounavis

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Kounavis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Kounavis. 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 Michael E. Kounavis. The network helps show where Michael E. Kounavis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999223
2 1998122
3 2011116
4 201885
5 200454
6 200144
7 199944
8 199944
9 201041
10 199937
11 201035
12 200833
13 200329
14 200126
15 200523
16 199922
17 200521
18 200220
19
Multiplication Instruction and its Usage for Computing the GCM Mode
201018
20
Compression to the Rescue: Defending from Adversarial Attacks Across Modalities
20188

About Michael E. Kounavis

Michael E. Kounavis is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (11 papers), Coding theory and cryptography (10 papers), Software-Defined Networks and 5G (7 papers), Cryptography and Data Security (6 papers), IPv6, Mobility, Handover, Networks, Security (6 papers), Cryptography and Residue Arithmetic (6 papers), Mobile Agent-Based Network Management (6 papers) and Network Packet Processing and Optimization (5 papers). The work is most often cited by research in Hardware and Architecture (237 citations), Computer Networks and Communications (744 citations), Artificial Intelligence (419 citations), Computer Vision and Pattern Recognition (180 citations) and Information Systems (171 citations). Michael E. Kounavis has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Andrew T. Campbell, Shay Gueron, Daniel Antunes Maciel Villela, Kazuho Miki, John Vicente, R.R.-F. Liao, G. Coulson, Sanu Mathew, Ram Krishnamurthy and Steven K. Hsu. Their work appears in journals such as Computer Networks, ACM SIGCOMM Computer Communication Review, IEEE Journal on Selected Areas in Communications, Software Practice and Experience and Computer Communications.

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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