Estonian Bioinformaticians - Ordered by Citations

NB! If you have just stumbled into this page by accident (e.g., looking up your name from Google) and wonder what is this page about, please check this page one level upwards that has explanations and some additional information

Disclaimer: All information has been gathered from public sources. If you want to add or delete some information about you, please email me. I do this all from my free time. But I welcome information that will help me in updating this page.

Disclaimer 2. Do not take those numbers too seriously without actually studying how Google collects the citations. Moreover, bear in mind that citations differ significantly in subfields of computer science, with practical areas getting a bulk of the citations. Also, for some of the authors, a majority of citations comes from authored textbooks, or even worse, from self-citations. Thus, be careful.

Note: "cites per #authors" divides the number of citations each paper has got by the number of authors it has. This increases fairness in interdisciplinary comparisons (e.g., papers in biology have 20+ coauthors and thousands of citations, papers in mathematics have 1 author and tens of citations). We note that this parameter is not perfect, since Google Scholar omits some authors in their page, but the same is also true in say the "Publish and Perish" program.

Links to Google citations profiles are fetched automatically when updating the database...

All links are clickable. For example, you can sort people according to Cites, H-Index, compare institutions to each other, or see people only from a certain institution.

People with less than 0 citations are not displayed (this can adjusted with url suffix "&cutoff=xxx").


Greyed out persons do only partially belong to this table (for various reasons), or they have namesakes that contribute to majority of their citations.

NameInstitutionCites per #authorsCitesH-IndexGoogle citationsBirthdayThesis
1.Jaak ViloUT.ATI1706 ( 27%)6212246220xx.11.1966Pattern Discovery from Biosequences (Helsinki U, 2002)
2.Imre VstrikEMBL-EB857 ( 22%)3927160
3.Madis MetsisTTU669 ( 23%)2940250
4.Maido RemmUT.TYMRI735 ( 29%)2517200
5.Leopold PartsSanger Institute315 ( 18%)1790122924
6.Meelis Kolmer_285 ( 24%)120213
7.Margus LukkEMBL-EBI126 ( 24%)52470xx.03.1977
8.Tiina RooseOxford136 ( 32%)42590Oxford
9.Meelis KullUT.ATI80 ( 24%)33350
10.Jri ReimandCanada.U Toronto73 ( 25%)29680
11.Hedi PetersonUT.ATI54 ( 20%)2667266
12.Raivo KoldeUT.ATI28 ( 20%)1427142
13.Balaji RajashekarUT.ATI35 ( 26%)1357469
14.Priit AdlerUT.ATI23 ( 21%)11450
15.Helen Priisalu_42 ( 49%)8650
16.Konstantin TretyakovUT.ATI48 ( 87%)55352
17.Laur ToomingUT.ATI8 ( 25%)3110
18.Sten IlmjrvUT.ATI5 ( 19%)262
19.Kairi TammojaEMBL-EBI5 ( 25%)2110
20.Darya Krushevskaya_1 ( 25%)410
21.Kristo TammeojaUT.ATI000
22.Margus JgerUT.ATI000