Andrey Lovakov

34 papers receiving 773 citations

Andrey Lovakov's Hit Papers

Empirically derived guidelines for effect size interpretation in social psychology 2021 · 354 citations
3540+1+3Years since publication100200300

Peers

Andrey Lovakov
Comparison fields: 5 of 122
  • Applied Psychology 57
  • Statistics, Probability and Uncertainty 87
  • Social Psychology 182
  • Gender Studies 54
  • Organizational Behavior and Human Resource Management 56
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Countries citing papers authored by Andrey Lovakov

Since Specialization
Citations

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

Fields of papers citing papers by Andrey Lovakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Andrey Lovakov, 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 Andrey Lovakov Line = papers co-authored together Andrey Lovakov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Empirically derived guidelines for effect size interpretation in social psychology
Hit paper breakdown →
2021354
2 202148
3 201941
4 202236
5 202230
6 201729
7 202126
8 202224
9 201623
10 201821
11 201719
12 201719
13 201518
14 202016
15 201914
16 202211
17 201510
18 20209
19 20229
20 20189

About Andrey Lovakov

Andrey Lovakov is a scholar working on Sociology and Political Science, Statistics, Probability and Uncertainty, Political Science and International Relations, Social Psychology and Information Systems, having authored 36 papers that have together received 807 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (10 papers), Social and Intergroup Psychology (5 papers), Educational Innovations and Challenges (5 papers), Cultural Differences and Values (5 papers), Higher Education Governance and Development (4 papers), Sociopolitical Dynamics in Russia (3 papers), Job Satisfaction and Organizational Behavior (3 papers) and International Science and Diplomacy (2 papers). The work is most often cited by research in Applied Psychology (57 citations), Statistics, Probability and Uncertainty (87 citations), Social Psychology (182 citations), Gender Studies (54 citations) and Organizational Behavior and Human Resource Management (56 citations). Andrey Lovakov has collaborated with scholars based in Russia, United Kingdom and Germany. Frequent co-authors include Елена Агадуллина, Maia Chankseliani, Maria Yudkevich, Vladimir Pislyakov, Ivan Sterligov, Wilmar B. Schaufeli, Gintare Visockaite, Andreas Liefooghe, Ståle Einarsen and Iselin Reknes. Their work appears in journals such as Scientometrics, Higher Education Quarterly, Voprosy Obrazovaniya/ Educational Studies Moscow, Tertiary Education and Management and European Journal of Social Psychology.

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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