Pamela Baess

49 total papers · 935 total citations
15 papers, 648 citations indexed

About

Pamela Baess is a scholar working on Cognitive Neuroscience, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Pamela Baess has authored 15 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Social Psychology and 2 papers in Sociology and Political Science. Recurrent topics in Pamela Baess's work include Action Observation and Synchronization (8 papers), Neural and Behavioral Psychology Studies (6 papers) and Neural dynamics and brain function (6 papers). Pamela Baess is often cited by papers focused on Action Observation and Synchronization (8 papers), Neural and Behavioral Psychology Studies (6 papers) and Neural dynamics and brain function (6 papers). Pamela Baess collaborates with scholars based in Germany, Finland and Hungary. Pamela Baess's co-authors include Erich Schröger, Thomas Jacobsen, János Horváth, Wolfgang Prinz, Sonja A. Kotz, Franziska Knolle, Roman Liepelt, Anja Roye, Andreas Widmann and Burkhard Maeß and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neuropsychologia.

In The Last Decade

Pamela Baess

12 papers receiving 641 citations

Author Peers

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

Author						Papers	Cites
Pamela Baess	573	308	110	66	37	15	648
Jasper G. Wijnen	485 0.8×	200 0.6×	228 2.1×	52 0.8×	56 1.5×	13	691
Carolin Brück	391 0.7×	199 0.6×	237 2.2×	59 0.9×	37 1.0×	31	607
Sophie Sowden	551 1.0×	219 0.7×	154 1.4×	98 1.5×	127 3.4×	27	725
Cara M. Keifer	532 0.9×	176 0.6×	109 1.0×	120 1.8×	113 3.1×	17	654
S. Ortigue	460 0.8×	349 1.1×	146 1.3×	179 2.7×	32 0.9×	10	748
Hila Z. Gvirts	363 0.6×	270 0.9×	116 1.1×	224 3.4×	63 1.7×	26	618
Chia-Yen Yang	408 0.7×	273 0.9×	82 0.7×	148 2.2×	36 1.0×	12	562
Nuria Doñamayor	476 0.8×	90 0.3×	162 1.5×	114 1.7×	43 1.2×	22	679
Mikko Viinikainen	404 0.7×	185 0.6×	174 1.6×	51 0.8×	21 0.6×	11	554
Katy A. Cross	382 0.7×	253 0.8×	77 0.7×	222 3.4×	78 2.1×	21	561

Countries citing papers authored by Pamela Baess

Since Specialization

Citations

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

Fields of papers citing papers by Pamela Baess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Baess

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