Michael E. Kounavis

1.9k citations
44 papers · 1.1k · h-index 18

Impact in

Papers in

Michael E. Kounavis

44 papers receiving 1.0k citations

Peers

Michael E. Kounavis
Comparison fields: 5 of 25
  • Computer Networks and Communications 318
  • Hardware and Architecture 104
  • Artificial Intelligence 327
  • Information Systems 43
  • Computational Mathematics 1
Replace Colin O’Flynn with:
Colin O’Flynn Canada
M. V. Ramakrishna United States
Jason Franklin United States
Jens-Peter Kaps United States
Johanna Sepúlveda Germany
Jason Lee United States
Hyunsoo Yoon South Korea
David Karr United States
Gregorio Procissi Italy
Hyunok Oh South Korea
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Citations per field
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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 1999217
2 1998116
3 2011115
4 2018107
5 200454
6 200144
7 199942
8 199942
9 201042
10 199936
11 201036
12 200833
13 200328
14 200125
15 200524
16 201922
17 200520
18
Multiplication Instruction and its Usage for Computing the GCM Mode
201019
19 199918
20 200218

About Michael E. Kounavis

Michael E. Kounavis is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Information Systems and Human-Computer Interaction, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (10 papers), Software-Defined Networks and 5G (6 papers), Network Packet Processing and Optimization (4 papers), Cryptography and Residue Arithmetic (4 papers), Adversarial Robustness in Machine Learning (3 papers), IPv6, Mobility, Handover, Networks, Security (2 papers), Hand Gesture Recognition Systems (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (318 citations), Hardware and Architecture (104 citations), Artificial Intelligence (327 citations), Information Systems (43 citations) and Computational Mathematics (1 citation). Michael E. Kounavis has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Andrew Thomas Campbell, Shay Gueron, Daniel Antunes Maciel Villela, Kazuho Miki, John Vicente, R.R.-F. Liao, Duen Horng Chau, Nilaksh Das, Madhuri Shanbhogue and Shang-Tse Chen. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Computer Networks, IEEE Journal on Selected Areas in Communications, IEEE Journal of Solid-State Circuits and Software Practice and Experience.

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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