Misha Teplitskiy

647 total citations
23 papers, 318 citations indexed

About

Misha Teplitskiy is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Misha Teplitskiy has authored 23 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 7 papers in Sociology and Political Science and 5 papers in Information Systems and Management. Recurrent topics in Misha Teplitskiy's work include scientometrics and bibliometrics research (11 papers), Meta-analysis and systematic reviews (4 papers) and Management and Organizational Studies (3 papers). Misha Teplitskiy is often cited by papers focused on scientometrics and bibliometrics research (11 papers), Meta-analysis and systematic reviews (4 papers) and Management and Organizational Studies (3 papers). Misha Teplitskiy collaborates with scholars based in United States, Italy and Philippines. Misha Teplitskiy's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Misha Teplitskiy

22 papers receiving 302 citations

Peers

Misha Teplitskiy
Comparison fields: 5 of 88
  • Statistics, Probability and Uncertainty 128
  • Sociology and Political Science 73
  • Communication 50
  • Information Systems and Management 50
  • Information Systems 41
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Stacy Konkiel United States
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Helena Mihaljević Germany
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Citations per field, relative to Misha Teplitskiy
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Citations per year, relative to Misha Teplitskiy
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Countries citing papers authored by Misha Teplitskiy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Misha Teplitskiy

This figure shows the co-authorship network connecting the top 25 collaborators of Misha Teplitskiy. A scholar is included among the top collaborators of Misha Teplitskiy 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 Misha Teplitskiy. Misha Teplitskiy 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
# Work Indexed citations
1 1
2 2
3 0
4 1
5 3
6 6
7 6
8 2
9 4
10 1
11 2
12 21
13 3
14
Why (almost) Everything We Know About Citations is Wrong: Evidence from Authors
6
15 69
16 3
17 63
18 20
19 18
20 5

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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