M. Hassner

700 citations
15 papers · 436 · h-index 6

Impact in

Papers in

M. Hassner

13 papers receiving 400 citations

Peers

M. Hassner
Comparison fields: 5 of 39
  • Computational Theory and Mathematics 234
  • Artificial Intelligence 233
  • Computer Networks and Communications 149
  • Computer Graphics and Computer-Aided Design 19
  • Computer Vision and Pattern Recognition 88
Replace Harold Fredricksen with:
Harold Fredricksen United States
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Herbert Taylor United States
Dominic Welsh United Kingdom
Hiroki Koga Japan
Joe Sawada Canada
Lorenzo Orecchia United States
Joseph Yves Effa Cameroon
Akira Maruoka Japan
André Bouchet France
M. Hassner relative to Harold Fredricksen United States Harold Fredricksen's profile →
Citations per field
00.5×2.6×
Harold Fredricksen · 1×
Citations per year

Countries citing papers authored by M. Hassner

Since Specialization
Citations

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

Fields of papers citing papers by M. Hassner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside M. Hassner, 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 M. Hassner Line = papers co-authored together M. Hassner links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1983243
2 1980108
3 200132
4 200117
5 199116
6 20036
7
A nonprobabilistic source and channel coding theory
19813
8 19952
9 19922
10 20002
11 19922
12 20051
13 20041
14 20021
15 20050

About M. Hassner

M. Hassner is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 15 papers that have together received 436 indexed citations. Recurring topics across this work include Cellular Automata and Applications (5 papers), Advanced Data Storage Technologies (3 papers), Algorithms and Data Compression (3 papers), Coding theory and cryptography (2 papers), Blind Source Separation Techniques (2 papers), Magnetic properties of thin films (2 papers), Cryptographic Implementations and Security (2 papers) and Characterization and Applications of Magnetic Nanoparticles (1 paper). The work is most often cited by research in Computational Theory and Mathematics (234 citations), Artificial Intelligence (233 citations), Computer Networks and Communications (149 citations), Computer Graphics and Computer-Aided Design (19 citations) and Computer Vision and Pattern Recognition (88 citations). M. Hassner has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Roy L. Adler, Don Coppersmith, Jack Sklansky, Khaled Abdel-Ghaffar, W. Hirt, Barry Trager, A. M. Patel, R. Koetter, Gerhard Fettweis and Uwe Schwiegelshohn. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Transactions on Information Theory, IEEE Personal Communications, PhDT and Computer Graphics and Image Processing.

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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