Jaak Simm

3.0k citations
46 papers · 1.5k indexed · h-index 20

Impact in

Papers in

Jaak Simm

44 papers receiving 1.5k citations

Peers

Jaak Simm
Comparison fields: 5 of 159
  • Microbiology 129
  • Biophysics 119
  • Reproductive Medicine 138
  • Computational Theory and Mathematics 178
  • Molecular Biology 697
Replace Barbara Di Camillo with:
Barbara Di Camillo Italy
Yonghoon Kwon South Korea
Dominik Heider Germany
Georg K. Gerber United States
Tae‐Hyoung Kim South Korea
Shaun M. Kandathil United Kingdom
Liang Cheng China
Lisa H. Cazares United States
Dinesh Gupta India
Longxiang Xie China
Jaak Simm relative to Barbara Di Camillo Italy Barbara Di Camillo's profile →
Citations per field
00.5×8.1×
Barbara Di Camillo · 1×
Citations per year

Countries citing papers authored by Jaak Simm

Since Specialization
Citations

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

Fields of papers citing papers by Jaak Simm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202131
3 202047
4
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series
201922
5 2018140
6 201834
7 201764
8 20171
9 20169
10 201633
11 201647
12 20162
13 20161
14
Gene Prioritization through Bayesian matrix factorization
20151
15 201461
16 201439
17 201437
18 201346
19 199461
20
ANALYSIS OF THE EEG USING CHAOTIC DYNAMICS
19931

About Jaak Simm

Jaak Simm is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Signal Processing, Reproductive Medicine and Microbiology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (5 papers), Reproductive System and Pregnancy (4 papers), Gut microbiota and health (4 papers), Microbial Community Ecology and Physiology (4 papers), Machine Learning in Bioinformatics (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Microbiology (129 citations), Biophysics (119 citations), Reproductive Medicine (138 citations), Computational Theory and Mathematics (178 citations) and Molecular Biology (697 citations). Jaak Simm has collaborated with scholars based in Belgium, Estonia and Japan. Frequent co-authors include Yves Moreau, Madis Metsis, Andres Salumets, Sara Aibar, Stein Aerts, Carmen Bravo González‐Blas, Thomas Moerman, Jan Aerts, Ádám Arany and Masashi Sugiyama. Their work appears in journals such as PLoS ONE, Bioinformatics, Scientific Reports, Biophysical Journal and Journal of Chemical Information and Modeling.

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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