Kaido Tämm
- Filtration and Separation top 5%
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- Computational Drug Discovery Methods 14
- Electrochemistry top 10%
- Electrochemical Analysis and Applications 3
- Catalysis top 10%
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- Nanoparticles: synthesis and applications 6
- Machine Learning in Materials Science 3
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- Free Radicals and Antioxidants 4
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- Analytical Chemistry and Chromatography 3
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- Graphene and Nanomaterials Applications 3
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- Chemical Synthesis and Analysis 3
- Co-authors
- Mati KarelsonTarmo TammAlan R. KatritzkyDan C. FaraHongfang YangPeeter BurkLauri SikkDimitar A. Dobchev
- Cited by
- Filtration and SeparationPhysical and Theoretical ChemistryComputational Theory and Mathematics
- Journals
- Chemical Reviews (1 paper)The Science of The Total Environment (1 paper)Water Research (1 paper)
- Partner nations
- EstoniaUnited StatesDenmark
In The Last Decade
Kaido Tämm
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 110
- Filtration and Separation 52
- Physical and Theoretical Chemistry 153
- Computational Theory and Mathematics 174
- Electrochemistry 65
- Catalysis 67
Countries citing papers authored by Kaido Tämm
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
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
The 25 scholars most cited alongside Kaido Tämm, 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 | 2024 | 9 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 64 | |
| 7 | 2020 | 40 | |
| 8 | 2020 | 72 | |
| 9 | 2017 | 23 | |
| 10 | 2017 | 30 | |
| 11 | 2016 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2013 | 11 | |
| 15 | 2012 | 11 | |
| 16 | 2010 | 57 | |
| 17 | 2009 | 22 | |
| 18 | 2008 | 12 | |
| 19 | 2004 | 371 | |
| 20 | 2004 | 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), Free Radicals and Antioxidants (4 papers), Analytical Chemistry and Chromatography (3 papers), Electrochemical Analysis and Applications (3 papers), Graphene and Nanomaterials Applications (3 papers), Chemical Synthesis and Analysis (3 papers) and Machine Learning in Materials Science (3 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.