Jan Schweckendiek

28 total papers · 1.8k total citations
24 papers, 1.4k citations indexed

About

Jan Schweckendiek is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Jan Schweckendiek has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 12 papers in Behavioral Neuroscience and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Jan Schweckendiek's work include Stress Responses and Cortisol (12 papers), Memory and Neural Mechanisms (12 papers) and Neuroendocrine regulation and behavior (7 papers). Jan Schweckendiek is often cited by papers focused on Stress Responses and Cortisol (12 papers), Memory and Neural Mechanisms (12 papers) and Neuroendocrine regulation and behavior (7 papers). Jan Schweckendiek collaborates with scholars based in Germany, France and United States. Jan Schweckendiek's co-authors include Rudolf Stark, Tim Klucken, Dieter Vaitl, Christian J. Merz, Katharina Tabbert, Oliver T. Wolf, Sabine Kagerer, Bertram Walter, Onno Kruse and Juergen Hennig and has published in prestigious journals such as NeuroImage, Neuroscience and Neuropsychologia.

In The Last Decade

Jan Schweckendiek

24 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Jan Schweckendiek 874 559 549 393 265 24 1.4k
Katharina Tabbert 722 0.8× 356 0.6× 629 1.1× 367 0.9× 136 0.5× 15 1.1k
Kyle G. Ratner 653 0.7× 576 1.0× 159 0.3× 276 0.7× 216 0.8× 25 1.3k
Nicole Y.L. Oei 754 0.9× 418 0.7× 599 1.1× 305 0.8× 439 1.7× 32 1.7k
Joseph M. Andreano 723 0.8× 308 0.6× 554 1.0× 442 1.1× 146 0.6× 21 1.6k
Örjan Frans 541 0.6× 384 0.7× 187 0.3× 200 0.5× 640 2.4× 26 1.6k
Werner Wippich 606 0.7× 268 0.5× 534 1.0× 468 1.2× 117 0.4× 40 1.4k
Michelle M. Wirth 247 0.3× 560 1.0× 412 0.8× 658 1.7× 261 1.0× 34 1.7k
Keri Bergquist 620 0.7× 495 0.9× 333 0.6× 171 0.4× 455 1.7× 12 1.8k
Roman Osinsky 664 0.8× 406 0.7× 227 0.4× 244 0.6× 294 1.1× 46 1.3k
Cassie Overstreet 491 0.6× 400 0.7× 167 0.3× 140 0.4× 433 1.6× 46 1.4k

Countries citing papers authored by Jan Schweckendiek

Since Specialization
Citations

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

Fields of papers citing papers by Jan Schweckendiek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Schweckendiek

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