Andrey Lovakov
- Sociology and Political Science top 10%
- Social Psychology top 5%
- Political Science and International Relations top 10%
- Statistics, Probability and Uncertainty top 5%
- Clinical Psychology
- Co-authors
- Елена АгадуллинаMaia ChankselianiMaria YudkevichVladimir PislyakovIvan SterligovWilmar B. SchaufeliIselin ReknesGintare Visockaite
- Topics
- scientometrics and bibliometrics research (9 papers)Social and Intergroup Psychology (5 papers)Cultural Differences and Values (5 papers)
- Partner nations
- RussiaUnited KingdomGermany
In The Last Decade
Andrey Lovakov
34 papers receiving 722 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Sociology and Political Science 194
- Social Psychology 184
- Political Science and International Relations 93
- Statistics, Probability and Uncertainty 84
- Clinical Psychology 82
Countries citing papers authored by Andrey Lovakov
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
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-authorship network of co-authors of Andrey Lovakov
This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Lovakov. A scholar is included among the top collaborators of Andrey Lovakov 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 Andrey Lovakov. Andrey Lovakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 28 | |
| 8 | 26 | |
| 9 | Empirically derived guidelines for effect size interpretation in social psychologybreakdown → | 325 |
| 10 | 9 | |
| 11 | 40 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 28 | |
| 17 | 10 | |
| 18 | 18 | |
| 19 | Cognitive and Behavioral Strategies in Overcoming Effects of Dirty Work | 0 |
| 20 | Организационная идентификация и приверженность персонала: сходство и различие | 1 |
About Andrey Lovakov
Andrey Lovakov is a scholar working on Statistics, Probability and Uncertainty, Applied Psychology and Social Psychology, having authored 35 papers that have together received 756 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (9 papers), Social and Intergroup Psychology (5 papers) and Cultural Differences and Values (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (84 citations), Applied Psychology (59 citations) and Social Psychology (184 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, Iselin Reknes, Gintare Visockaite, Andreas Liefooghe and Ståle Einarsen. Their work appears in journals such as Frontiers in Psychology, Teaching and Teacher Education 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.