Nada Endrissat

66 total papers · 665 total citations
22 papers, 352 citations indexed

About

Nada Endrissat is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Nada Endrissat has authored 22 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Organizational Behavior and Human Resource Management, 4 papers in Social Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Nada Endrissat's work include Management and Organizational Studies (13 papers), Facilities and Workplace Management (3 papers) and Biomedical and Engineering Education (2 papers). Nada Endrissat is often cited by papers focused on Management and Organizational Studies (13 papers), Facilities and Workplace Management (3 papers) and Biomedical and Engineering Education (2 papers). Nada Endrissat collaborates with scholars based in Switzerland, France and Denmark. Nada Endrissat's co-authors include Gazi Islam, Aurélie Leclercq‐Vandelannoitte, Dan Kärreman, Virpi Sorsa, Daniel Hjorth, Timo Ohnmacht, Jeanne Mengis, Davide Ravasi, Viviane Sergi and Jacqueline Fendt and has published in prestigious journals such as Journal of Business Research, Human Relations and Organization Studies.

In The Last Decade

Nada Endrissat

20 papers receiving 329 citations

Author Peers

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

Author						Papers	Cites
Nada Endrissat	165	83	64	46	36	22	352
Elizabeth Wilhoit Larson	130 0.8×	148 1.8×	64 1.0×	31 0.7×	24 0.7×	22	327
Varda Wasserman	132 0.8×	171 2.1×	46 0.7×	22 0.5×	48 1.3×	22	362
Katherine K. Chen	108 0.7×	176 2.1×	22 0.3×	50 1.1×	38 1.1×	22	313
Lucia Garcia‐Lorenzo	108 0.7×	94 1.1×	43 0.7×	58 1.3×	14 0.4×	33	331
Jerzy Kociatkiewicz	138 0.8×	155 1.9×	33 0.5×	50 1.1×	54 1.5×	34	384
Harriet Shortt	144 0.9×	145 1.7×	27 0.4×	18 0.4×	35 1.0×	19	295
Gregory A. Laurence	177 1.1×	89 1.1×	147 2.3×	23 0.5×	9 0.3×	16	393
Blagoy Blagoev	144 0.9×	110 1.3×	93 1.5×	69 1.5×	32 0.9×	15	349
Stefanie Reissner	168 1.0×	76 0.9×	39 0.6×	47 1.0×	6 0.2×	28	306
Junhee Kim	178 1.1×	70 0.8×	66 1.0×	47 1.0×	6 0.2×	30	333

Countries citing papers authored by Nada Endrissat

Since Specialization

Citations

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

Fields of papers citing papers by Nada Endrissat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Endrissat

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