Chen Yanover

2.0k citations
53 papers · 1.2k indexed · h-index 19

Impact in

Papers in

    • Protein Structure and Dynamics 11
    • RNA and protein synthesis mechanisms 9
    • Machine Learning in Bioinformatics 6
    • vaccines and immunoinformatics approaches 4
    • Bayesian Modeling and Causal Inference 4
    • Machine Learning in Healthcare 4

Chen Yanover

49 papers receiving 1.1k citations

Peers

Chen Yanover
Comparison fields: 5 of 134
  • Hematology 111
  • Artificial Intelligence 275
  • Microbiology 53
  • Molecular Biology 534
  • Computer Vision and Pattern Recognition 124
Replace Subrata Ghosh with:
Subrata Ghosh India
Lorenz Wernisch United Kingdom
Wenjiang Fu United States
Momiao Xiong United States
Michael Meier Germany
Michael J. Chappell United Kingdom
Guozhong Li China
Yumin Wang China
Alexander Y. Mitrophanov United States
Mohamed Ghalwash United States
Chen Yanover relative to Subrata Ghosh India Subrata Ghosh's profile →
Citations per field
00.5×7.6×
Subrata Ghosh · 1×
Citations per year

Countries citing papers authored by Chen Yanover

Since Specialization
Citations

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

Fields of papers citing papers by Chen Yanover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Linear Programming Relaxations and Belief Propagation -- An Empirical Study
200697
2
MAP estimation, linear programming and belief propagation with convex free energies
200774
3 200571
4
Approximate Inference and Protein-Folding
200269
5 201767
6 201366
7 200856
8
Finding the M Most Probable Configurations using Loopy Belief Propagation
200349
9 201348
10 202046
11 200743
12 201142
13 201635
14 201135
15 200733
16 200628
17 201326
18 200820
19 199819
20 201017

About Chen Yanover

Chen Yanover is a scholar working on Molecular Biology, Artificial Intelligence, Hematology, Immunology and Infectious Diseases, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (6 papers), Hemophilia Treatment and Research (6 papers), Platelet Disorders and Treatments (5 papers), Bayesian Modeling and Causal Inference (4 papers), vaccines and immunoinformatics approaches (4 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Hematology (111 citations), Artificial Intelligence (275 citations), Microbiology (53 citations), Molecular Biology (534 citations) and Computer Vision and Pattern Recognition (124 citations). Chen Yanover has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Yair Weiss, Talya Meltzer, Philip Bradley, Tomer Hertz, Menachem Fromer, Zuben E. Sauna, Yaakov Weiss, Ora Schueler‐Furman, Chava Kimchi‐Sarfaty and Julia M. Shifman. Their work appears in journals such as Bioinformatics, Blood, Proteins Structure Function and Bioinformatics, Journal of Computational Chemistry and Journal of the American Medical Informatics Association.

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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