Marcela Sokolová

48 total papers · 469 total citations
26 papers, 256 citations indexed

About

Marcela Sokolová is a scholar working on Economics and Econometrics, Education and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Marcela Sokolová has authored 26 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 5 papers in Education and 5 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Marcela Sokolová's work include Job Satisfaction and Organizational Behavior (4 papers), Transport and Logistics Innovations (3 papers) and Education, Psychology, and Social Research (3 papers). Marcela Sokolová is often cited by papers focused on Job Satisfaction and Organizational Behavior (4 papers), Transport and Logistics Innovations (3 papers) and Education, Psychology, and Social Research (3 papers). Marcela Sokolová collaborates with scholars based in Czechia, Pakistan and Macao. Marcela Sokolová's co-authors include Hana Mohelská, Ahsan Akbar, Ammar Hussain, Minhas Akbar, Syed Muhammad Danish, Syed Arslan Haider, Shumaila Naz, Szymon Dziuba, Marek Franěk and Zahid Ali and has published in prestigious journals such as Frontiers in Psychology, Sustainability and Energies.

In The Last Decade

Marcela Sokolová

22 papers receiving 235 citations

Author Peers

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

Author Last Decade Papers Cites
Marcela Sokolová 93 63 61 35 34 26 256
Andrej Bertoncelj 73 0.8× 43 0.7× 83 1.4× 39 1.1× 39 1.1× 39 294
Petr Řehoř 86 0.9× 45 0.7× 62 1.0× 38 1.1× 46 1.4× 38 293
Amila Pilav-Velić 33 0.4× 46 0.7× 65 1.1× 22 0.6× 35 1.0× 16 212
Lucia Kohnová 111 1.2× 60 1.0× 64 1.0× 31 0.9× 48 1.4× 14 290
Zuzana Papulová 54 0.6× 54 0.9× 79 1.3× 33 0.9× 68 2.0× 17 310
Carmen Reaiche 52 0.6× 22 0.3× 60 1.0× 32 0.9× 22 0.6× 26 282
Haroon Abbu 82 0.9× 33 0.5× 103 1.7× 41 1.2× 55 1.6× 14 287
Ardian Adhiatma 59 0.6× 33 0.5× 107 1.8× 36 1.0× 76 2.2× 21 312
Carlos Sanchís-Pedregosa 27 0.3× 65 1.0× 70 1.1× 67 1.9× 17 0.5× 27 314
Sorin Anagnoste 129 1.4× 25 0.4× 41 0.7× 85 2.4× 29 0.9× 20 284

Countries citing papers authored by Marcela Sokolová

Since Specialization
Citations

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

Fields of papers citing papers by Marcela Sokolová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcela Sokolová

This figure shows the co-authorship network connecting the top 25 collaborators of Marcela Sokolová. A scholar is included among the top collaborators of Marcela Sokolová 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 Marcela Sokolová. Marcela Sokolová 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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