Kaido Tämm

1.6k citations
33 papers · 1.1k indexed · h-index 17
Topics
Computational Drug Discovery Methods (14 papers)Nanoparticles: synthesis and applications (6 papers)Free Radicals and Antioxidants (4 papers)

In The Last Decade

Kaido Tämm

33 papers receiving 1.0k citations

Peers

Kaido Tämm
Comparison fields: 5 of 110
  • Materials Chemistry 261
  • Organic Chemistry 249
  • Molecular Biology 226
  • Computational Theory and Mathematics 174
  • Physical and Theoretical Chemistry 153
Replace Mohammad Reza Bozorgmehr with:
Mohammad Reza Bozorgmehr Iran
Joel B. Alderete Chile
Paweł Wydro Poland
Rebecca M. Lennen United States
S. Srinivasan India
Yohann Corvis France
Rose‐Marie Dannenfelser United States
Yang Jiang China
Nives Galić Croatia
Alexandra D. Voloshina Russia
Kaido Tämm relative to Mohammad Reza Bozorgmehr Iran Mohammad Reza Bozorgmehr's profile →
Citations per field
00.5×4.0×
Mohammad Reza Bozorgmehr · 1×
Citations per year

Countries citing papers authored by Kaido Tämm

Since Specialization
Citations

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

Fields of papers citing papers by Kaido Tämm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaido Tämm

This figure shows the co-authorship network connecting the top 25 collaborators of Kaido Tämm. A scholar is included among the top collaborators of Kaido Tämm 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 Kaido Tämm. Kaido Tämm 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 9
2 6
3 2
4 9
5 3
6 64
7 40
8 72
9 23
10 30
11 1
12 1
13 1
14 11
15 11
16 57
17 22
18 12
19 371
20 27

About Kaido Tämm

Kaido Tämm is a scholar working on Filtration and Separation, Computational Theory and Mathematics and Electrochemistry, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Nanoparticles: synthesis and applications (6 papers) and Free Radicals and Antioxidants (4 papers). The work is most often cited by research in Filtration and Separation (52 citations), Physical and Theoretical Chemistry (153 citations) and Computational Theory and Mathematics (174 citations). Kaido Tämm has collaborated with scholars based in Estonia, United States and Denmark. Frequent co-authors include Mati Karelson, Tarmo Tamm, Alan R. Katritzky, Dan C. Fara, Hongfang Yang, Peeter Burk, Lauri Sikk, Dimitar A. Dobchev, Jaak Jänes and Indrek Tulp. Their work appears in journals such as Chemical Reviews, The Science of The Total Environment and Water Research.

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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