Misha Teplitskiy
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- scientometrics and bibliometrics research 11
- Meta-analysis and systematic reviews 4
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- Academic Publishing and Open Access 3
- Communication top 10%
- Wikis in Education and Collaboration 3
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- Academic Writing and Publishing 2
- General Social Sciences top 5%
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- Management and Organizational Studies 3
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- Social and Cultural Dynamics 3
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- Open Source Software Innovations 2
- Co-authors
- Eamon DuedeKarim R. LakhaniMichael MeniettiJames A. EvansKonrad P. KördingDaniel E. AcuñaJohn Levi MartinHao Peng
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesItalyPhilippines
In The Last Decade
Misha Teplitskiy
22 papers receiving 302 citations
Peers
Comparison fields: 5 of 88
- Statistics, Probability and Uncertainty 128
- Information Systems and Management 50
- Communication 50
- History and Philosophy of Science 26
- General Social Sciences 14
Countries citing papers authored by Misha Teplitskiy
This map shows the geographic impact of Misha Teplitskiy'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 Misha Teplitskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misha Teplitskiy more than expected).
Fields of papers citing papers by Misha Teplitskiy
This network shows the impact of papers produced by Misha Teplitskiy. 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 Misha Teplitskiy. The network helps show where Misha Teplitskiy may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Misha Teplitskiy, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 21 | |
| 13 | 2020 | 3 | |
| 14 | Why (almost) Everything We Know About Citations is Wrong: Evidence from Authors | 2018 | 6 |
| 15 | 2018 | 69 | |
| 16 | 2016 | 3 | |
| 17 | 2016 | 63 | |
| 18 | 2016 | 20 | |
| 19 | 2015 | 18 | |
| 20 | 2015 | 5 |
About Misha Teplitskiy
Misha Teplitskiy is a scholar working on Statistics, Probability and Uncertainty, Health Informatics and Information Systems and Management, having authored 23 papers that have together received 318 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (11 papers), Meta-analysis and systematic reviews (4 papers), Management and Organizational Studies (3 papers), Academic Publishing and Open Access (3 papers), Social and Cultural Dynamics (3 papers), Wikis in Education and Collaboration (3 papers), Academic Writing and Publishing (2 papers) and Open Source Software Innovations (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (128 citations), Information Systems and Management (50 citations) and Communication (50 citations). Misha Teplitskiy has collaborated with scholars based in United States, Italy and Philippines. Frequent co-authors include Eamon Duede, Karim R. Lakhani, Michael Menietti, James A. Evans, Konrad P. Körding, Daniel E. Acuña, John Levi Martin, Hao Peng, Eva C. Guinan and G. Kenneth Gray. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.