Tina Urbach

24 total papers · 466 total citations
14 papers, 338 citations indexed

About

Tina Urbach is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Tina Urbach has authored 14 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organizational Behavior and Human Resource Management, 8 papers in Social Psychology and 5 papers in Sociology and Political Science. Recurrent topics in Tina Urbach's work include Job Satisfaction and Organizational Behavior (10 papers), Social and Intergroup Psychology (4 papers) and Behavioral Health and Interventions (3 papers). Tina Urbach is often cited by papers focused on Job Satisfaction and Organizational Behavior (10 papers), Social and Intergroup Psychology (4 papers) and Behavioral Health and Interventions (3 papers). Tina Urbach collaborates with scholars based in Germany, Netherlands and France. Tina Urbach's co-authors include Doris Fay, Oliver Weigelt, Karoline Strauss, Christine Syrek, Antje Schmitt, Kristina Lauche, Deanne N. Den Hartog, Sharon K. Parker, Kathleen Otto and Jeremy Dawson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Occupational Health Psychology and Journal of Occupational and Organizational Psychology.

In The Last Decade

Tina Urbach

14 papers receiving 328 citations

Author Peers

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

Author						Papers	Cites
Tina Urbach	229	127	110	49	46	14	338
Batia Ben‐Hador	177 0.8×	103 0.8×	116 1.1×	34 0.7×	31 0.7×	16	336
Kan Ouyang	250 1.1×	153 1.2×	120 1.1×	37 0.8×	35 0.8×	15	337
Tyler B Sabey	198 0.9×	114 0.9×	110 1.0×	28 0.6×	36 0.8×	9	340
Joseph T. Liu	209 0.9×	106 0.8×	116 1.1×	28 0.6×	62 1.3×	10	358
Dana McDaniel Sumpter	231 1.0×	127 1.0×	122 1.1×	40 0.8×	52 1.1×	15	380
Katrina Jia Lin	262 1.1×	146 1.1×	159 1.4×	49 1.0×	45 1.0×	12	372
Srinivas Ekkirala	245 1.1×	134 1.1×	131 1.2×	81 1.7×	30 0.7×	11	365
Heike Heidemeier	162 0.7×	169 1.3×	90 0.8×	62 1.3×	46 1.0×	21	403
Keith L. Zabel	151 0.7×	131 1.0×	102 0.9×	74 1.5×	35 0.8×	9	357
Hudson Sessions	190 0.8×	118 0.9×	141 1.3×	34 0.7×	28 0.6×	17	331

Countries citing papers authored by Tina Urbach

Since Specialization

Citations

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

Fields of papers citing papers by Tina Urbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Urbach

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