Martin Vaculík

127 total papers · 610 total citations
52 papers, 402 citations indexed

About

Martin Vaculík is a scholar working on Social Psychology, Organizational Behavior and Human Resource Management and Education. According to data from OpenAlex, Martin Vaculík has authored 52 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Social Psychology, 13 papers in Organizational Behavior and Human Resource Management and 12 papers in Education. Recurrent topics in Martin Vaculík's work include Education, Psychology, and Social Research (10 papers), Job Satisfaction and Organizational Behavior (10 papers) and Psychological Well-being and Life Satisfaction (5 papers). Martin Vaculík is often cited by papers focused on Education, Psychology, and Social Research (10 papers), Job Satisfaction and Organizational Behavior (10 papers) and Psychological Well-being and Life Satisfaction (5 papers). Martin Vaculík collaborates with scholars based in Czechia, Slovakia and United States. Martin Vaculík's co-authors include Jakub Procházka, Wilmar B. Schaufeli, Timo Lorenz, Michel Monsigny, Didier Delay, Jason Ellis, Stanislav Ježek, Carlos A. Almenara, Albert J. Ksinan and Pavol Kačmár and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Science.

In The Last Decade

Martin Vaculík

49 papers receiving 363 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Vaculík 153 123 102 50 48 52 402
Martina Kotzé 153 1.0× 129 1.0× 134 1.3× 63 1.3× 43 0.9× 35 393
Hui Meng 138 0.9× 145 1.2× 118 1.2× 46 0.9× 96 2.0× 32 402
Lucas Monzani 161 1.1× 140 1.1× 71 0.7× 37 0.7× 100 2.1× 36 446
Uwe Peter Kanning 176 1.2× 137 1.1× 100 1.0× 27 0.5× 90 1.9× 55 420
Leoni van der Vaart 189 1.2× 167 1.4× 79 0.8× 94 1.9× 57 1.2× 30 423
Deléne Visser 133 0.9× 123 1.0× 58 0.6× 60 1.2× 59 1.2× 43 356
Christopher Mensah 118 0.8× 118 1.0× 87 0.9× 28 0.6× 111 2.3× 54 438
Konrad Kulikowski 134 0.9× 120 1.0× 100 1.0× 82 1.6× 55 1.1× 41 416
Heike Heidemeier 162 1.1× 169 1.4× 62 0.6× 46 0.9× 90 1.9× 21 403
Zitong Sheng 141 0.9× 125 1.0× 64 0.6× 57 1.1× 130 2.7× 26 430

Countries citing papers authored by Martin Vaculík

Since Specialization
Citations

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

Fields of papers citing papers by Martin Vaculík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Vaculík

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Vaculík. A scholar is included among the top collaborators of Martin Vaculík 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 Martin Vaculík. Martin Vaculík is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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