Jonathan S. Yedidia

52 papers receiving 3.5k citations

Hit Papers

Constructing Free-Energy Approximations and Generalized B...2000202620082017200520032000250500750

Peers

Jonathan S. Yedidia
Comparison fields: 5 of 123
  • Computer Networks and Communications 1.4k
  • Artificial Intelligence 1.4k
  • Electrical and Electronic Engineering 1.0k
  • Computer Vision and Pattern Recognition 922
  • Signal Processing 401
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Jonathan S. Yedidia

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan S. Yedidia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan S. Yedidia. 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 Jonathan S. Yedidia. The network helps show where Jonathan S. Yedidia may publish in the future.

Co-authorship network of co-authors of Jonathan S. Yedidia

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan S. Yedidia. A scholar is included among the top collaborators of Jonathan S. Yedidia 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 Jonathan S. Yedidia. Jonathan S. Yedidia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 25
4 27
5 11
6 21
7 17
8 18
9
Iterative Decoding Using Replicas
1
10
Reduced Latency Iterative Decoding
0
11 18
12 7
13
Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithmsbreakdown →
925
14
Secure Biometrics Via Syndromes
43
15 1
16
Bethe free energy, Kikuchi approximations, and belief propagation algorithms
95
17 107
18
Generalized Belief Propagationbreakdown →
558
19 37
20 38

About Jonathan S. Yedidia

Jonathan S. Yedidia is a scholar working on Computer Networks and Communications, Condensed Matter Physics and Computer Graphics and Computer-Aided Design, having authored 53 papers that have together received 3.8k indexed citations. Recurring topics across this work include Error Correcting Code Techniques (24 papers), Cooperative Communication and Network Coding (15 papers) and Advanced Wireless Communication Techniques (14 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Computer Vision and Pattern Recognition (922 citations) and Artificial Intelligence (1.4k citations). Jonathan S. Yedidia has collaborated with scholars based in United States, France and Japan. Frequent co-authors include William T. Freeman, Yair Weiss, Yaakov Weiss, William T. Freeman, Ravi Palanki, Antoine Georges, Stark C. Draper, Andreas F. Molisch, Marc Mézard and Neelesh B. Mehta. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and IEEE Transactions on Information Theory.

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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