Misha Teplitskiy

647 citations
23 papers · 318 indexed · h-index 7

Misha Teplitskiy

22 papers receiving 302 citations

Peers

Misha Teplitskiy
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
Replace Adrián A. Díaz‐Faes with:
Adrián A. Díaz‐Faes Spain
Mahshid Abdoli United Kingdom
Nadine Desrochers Canada
Stacy Konkiel United States
Bikun Chen China
Simon Kerridge United Kingdom
Ben F. Johnson United States
Richard D Jones Norway
Hadas Shema Israel
Helena Mihaljević Germany
Misha Teplitskiy relative to Adrián A. Díaz‐Faes Spain Adrián A. Díaz‐Faes's profile →
Citations per field
00.5×2.8×
Adrián A. Díaz‐Faes · 1×
Citations per year

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

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.

Border = papers with Misha Teplitskiy Line = papers co-authored together Misha Teplitskiy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 20251
5 20243
6 20246
7 20236
8 20222
9 20224
10 20211
11 20212
12 202121
13 20203
14
Why (almost) Everything We Know About Citations is Wrong: Evidence from Authors
20186
15 201869
16 20163
17 201663
18 201620
19 201518
20 20155

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.

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2026