Mark G. Karpovsky

4.0k citations
124 papers · 2.6k · h-index 26

Impact in

Papers in

Mark G. Karpovsky

117 papers receiving 2.4k citations

Peers

Mark G. Karpovsky
Comparison fields: 5 of 77
  • Hardware and Architecture 850
  • Computer Networks and Communications 647
  • Computational Theory and Mathematics 445
  • Artificial Intelligence 869
  • Condensed Matter Physics 283
Replace Wei‐Kuan Shih with:
Wei‐Kuan Shih Taiwan
J. Massey United States
Daisuke Takahashi Japan
George Almási United States
S.L. Hurst United Kingdom
Georg Sigl Germany
Ralph K. Cavin United States
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Sandeep K. Gupta United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark G. Karpovsky

Since Specialization
Citations

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

Fields of papers citing papers by Mark G. Karpovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G. Karpovsky. 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 Mark G. Karpovsky. The network helps show where Mark G. Karpovsky may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998264
2 1996232
3 1985181
4 1997119
5
Testing Computer Hardware through Data Compression in Space and Time.
1983102
6 198891
7 200490
8 200387
9 199778
10 200464
11 199059
12 200251
13 198950
14 200742
15
Finite Orthogonal Series in Design of Digital Devices
200636
16 199335
17 200635
18 200832
19 201031
20 199031

About Mark G. Karpovsky

Mark G. Karpovsky is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 124 papers that have together received 2.6k indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (36 papers), Coding theory and cryptography (28 papers), Cryptographic Implementations and Security (18 papers), Integrated Circuits and Semiconductor Failure Analysis (17 papers), Interconnection Networks and Systems (16 papers), Radiation Effects in Electronics (15 papers), Physical Unclonable Functions (PUFs) and Hardware Security (12 papers) and Low-power high-performance VLSI design (11 papers). The work is most often cited by research in Hardware and Architecture (850 citations), Computer Networks and Communications (647 citations), Computational Theory and Mathematics (445 citations), Artificial Intelligence (869 citations) and Condensed Matter Physics (283 citations). Mark G. Karpovsky has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Lev B. Levitin, A. Gerber, A. Milner, Krishnendu Chakrabarty, Alexander Taubin, A. Gladkikh, Konrad J. Kulikowski, Kewal K. Saluja, Zhen Wang and Bella Groisman. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Information Theory, Physical review. B, Condensed matter, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Physical Review Letters.

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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