Nadja Schreiber Compo

83 total papers · 1.4k total citations
43 papers, 854 citations indexed

About

Nadja Schreiber Compo is a scholar working on Social Psychology, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Nadja Schreiber Compo has authored 43 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Social Psychology, 30 papers in Cognitive Neuroscience and 12 papers in Sociology and Political Science. Recurrent topics in Nadja Schreiber Compo's work include Deception detection and forensic psychology (35 papers), Memory Processes and Influences (29 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (7 papers). Nadja Schreiber Compo is often cited by papers focused on Deception detection and forensic psychology (35 papers), Memory Processes and Influences (29 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (7 papers). Nadja Schreiber Compo collaborates with scholars based in United States, Sweden and South Africa. Nadja Schreiber Compo's co-authors include Jonathan P. Vallano, Jacqueline R. Evans, Rolando N. Carol, Melissa B. Russano, Stefan Rose, Lindsay S. Ham, Daniella K. Villalba, Ronald P. Fisher, Kenneth G. Furton and H. Holness and has published in prestigious journals such as Psychopharmacology, Frontiers in Psychology and Journal of Applied Social Psychology.

In The Last Decade

Nadja Schreiber Compo

38 papers receiving 833 citations

Author Peers

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

Author						Papers	Cites
Nadja Schreiber Compo	615	541	210	162	130	43	854
Coral J. Dando	607 1.0×	529 1.0×	199 0.9×	251 1.5×	141 1.1×	49	923
Jacqueline R. Evans	755 1.2×	537 1.0×	330 1.6×	289 1.8×	112 0.9×	46	1.0k
James Ost	599 1.0×	728 1.3×	218 1.0×	265 1.6×	120 0.9×	44	1.1k
Günter Köhnken	813 1.3×	526 1.0×	275 1.3×	375 2.3×	111 0.9×	27	1.0k
Heather L. Price	427 0.7×	564 1.0×	117 0.6×	206 1.3×	74 0.6×	79	807
Rachel Zajac	467 0.8×	462 0.9×	120 0.6×	321 2.0×	68 0.5×	49	894
Elizabeth A. Olson	580 0.9×	595 1.1×	149 0.7×	116 0.7×	65 0.5×	24	960
Joanna Pozzulo	543 0.9×	675 1.2×	152 0.7×	109 0.7×	23 0.2×	91	996
Amye R. Warren	459 0.7×	672 1.2×	135 0.6×	280 1.7×	98 0.8×	31	968
Deryn Strange	350 0.6×	505 0.9×	200 1.0×	230 1.4×	34 0.3×	55	883

Countries citing papers authored by Nadja Schreiber Compo

Since Specialization

Citations

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

Fields of papers citing papers by Nadja Schreiber Compo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadja Schreiber Compo. 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 Nadja Schreiber Compo. The network helps show where Nadja Schreiber Compo may publish in the future.

Co-authorship network of co-authors of Nadja Schreiber Compo

This figure shows the co-authorship network connecting the top 25 collaborators of Nadja Schreiber Compo. A scholar is included among the top collaborators of Nadja Schreiber Compo 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 Nadja Schreiber Compo. Nadja Schreiber Compo 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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