Pia V. Ingold

45 total papers · 519 total citations
22 papers, 321 citations indexed

About

Pia V. Ingold is a scholar working on Organizational Behavior and Human Resource Management, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Pia V. Ingold has authored 22 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organizational Behavior and Human Resource Management, 10 papers in Clinical Psychology and 10 papers in Sociology and Political Science. Recurrent topics in Pia V. Ingold's work include Job Satisfaction and Organizational Behavior (13 papers), Personality Traits and Psychology (10 papers) and Social and Intergroup Psychology (9 papers). Pia V. Ingold is often cited by papers focused on Job Satisfaction and Organizational Behavior (13 papers), Personality Traits and Psychology (10 papers) and Social and Intergroup Psychology (9 papers). Pia V. Ingold collaborates with scholars based in Switzerland, Germany and Denmark. Pia V. Ingold's co-authors include Martin Kleinmann, Klaus G. Melchers, Cornelius J. König, Filip Lievens, Anne Jansen, Markus Langer, Maike E. Debus, Chad H. Van Iddekinge, Janneke K. Oostrom and Hubert Annen and has published in prestigious journals such as Journal of Applied Psychology, Computers in Human Behavior and Journal of Organizational Behavior.

In The Last Decade

Pia V. Ingold

18 papers receiving 310 citations

Author Peers

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

Author						Papers	Cites
Pia V. Ingold	156	119	105	104	36	22	321
Anne Jansen	97 0.6×	144 1.2×	124 1.2×	114 1.1×	22 0.6×	19	314
Therese Macan	124 0.8×	114 1.0×	74 0.7×	88 0.8×	66 1.8×	15	319
Tom Janz	138 0.9×	128 1.1×	42 0.4×	92 0.9×	45 1.3×	14	312
Sudeep Sharma	63 0.4×	106 0.9×	81 0.8×	152 1.5×	31 0.9×	22	340
Steven T. Hunt	119 0.8×	75 0.6×	90 0.9×	88 0.8×	15 0.4×	15	283
Charlene Zhang	101 0.6×	86 0.7×	61 0.6×	97 0.9×	48 1.3×	19	329
Nikki Blacksmith	111 0.7×	68 0.6×	54 0.5×	104 1.0×	34 0.9×	13	347
Christof Nägele	78 0.5×	87 0.7×	45 0.4×	183 1.8×	18 0.5×	18	356
Caroline Bailey	117 0.8×	111 0.9×	34 0.3×	118 1.1×	32 0.9×	25	353
Q. Chelsea Song	83 0.5×	49 0.4×	49 0.5×	61 0.6×	37 1.0×	21	312

Countries citing papers authored by Pia V. Ingold

Since Specialization

Citations

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

Fields of papers citing papers by Pia V. Ingold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pia V. Ingold. 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 Pia V. Ingold. The network helps show where Pia V. Ingold may publish in the future.

Co-authorship network of co-authors of Pia V. Ingold

This figure shows the co-authorship network connecting the top 25 collaborators of Pia V. Ingold. A scholar is included among the top collaborators of Pia V. Ingold 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 Pia V. Ingold. Pia V. Ingold 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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