Jaak Simm
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Biophysics top 2%
Papers in
-
- Computational Drug Discovery Methods 8
- Co-authors
- Yves MoreauMadis MetsisAndres SalumetsSara AibarStein AertsCarmen Bravo González‐BlasThomas MoermanJan Aerts
In The Last Decade
Jaak Simm
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 159
- Microbiology 129
- Biophysics 119
- Reproductive Medicine 138
- Computational Theory and Mathematics 178
- Molecular Biology 697
Countries citing papers authored by Jaak Simm
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 47 | |
| 4 | GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series | 2019 | 22 |
| 5 | 2018 | 140 | |
| 6 | 2018 | 34 | |
| 7 | 2017 | 64 | |
| 8 | 2017 | 1 | |
| 9 | 2016 | 9 | |
| 10 | 2016 | 33 | |
| 11 | 2016 | 47 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 1 | |
| 14 | Gene Prioritization through Bayesian matrix factorization | 2015 | 1 |
| 15 | 2014 | 61 | |
| 16 | 2014 | 39 | |
| 17 | 2014 | 37 | |
| 18 | 2013 | 46 | |
| 19 | 1994 | 61 | |
| 20 | ANALYSIS OF THE EEG USING CHAOTIC DYNAMICS | 1993 | 1 |
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.