Markus Rütgen

41 total papers · 1.2k total citations
20 papers, 692 citations indexed

About

Markus Rütgen is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Markus Rütgen has authored 20 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 12 papers in Psychiatry and Mental health and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Markus Rütgen's work include Pain Management and Placebo Effect (12 papers), Empathy and Medical Education (9 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). Markus Rütgen is often cited by papers focused on Pain Management and Placebo Effect (12 papers), Empathy and Medical Education (9 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). Markus Rütgen collaborates with scholars based in Austria, Slovakia and Sweden. Markus Rütgen's co-authors include Claus Lamm, Isabella C. Wagner, Eva‐Maria Seidel, Giorgia Silani, I Riečanský, Christian Windischberger, Allan Hummer, Predrag Petrović, Caroline Catmur and Essi Viding and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Markus Rütgen

20 papers receiving 684 citations

Author Peers

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

Author						Papers	Cites
Markus Rütgen	454	303	254	177	112	20	692
Luka Ružić	584 1.3×	171 0.6×	310 1.2×	174 1.0×	89 0.8×	11	791
C. Ervin Davis	393 0.9×	102 0.3×	210 0.8×	150 0.8×	94 0.8×	13	684
Yawei Cheng	445 1.0×	186 0.6×	245 1.0×	86 0.5×	128 1.1×	11	737
Tobias Melcher	470 1.0×	163 0.5×	153 0.6×	134 0.8×	56 0.5×	22	657
Janelle N. Beadle	236 0.5×	286 0.9×	275 1.1×	117 0.7×	204 1.8×	31	734
Laura Müller‐Pinzler	346 0.8×	262 0.9×	144 0.6×	162 0.9×	152 1.4×	25	634
Marianne C. Reddan	355 0.8×	118 0.4×	85 0.3×	160 0.9×	117 1.0×	17	622
John M. Cleghorn	276 0.6×	102 0.3×	247 1.0×	137 0.8×	190 1.7×	24	704
Irene Perini	332 0.7×	135 0.4×	126 0.5×	130 0.7×	139 1.2×	28	609
Matthew R. Hilimire	398 0.9×	120 0.4×	149 0.6×	162 0.9×	193 1.7×	28	793

Countries citing papers authored by Markus Rütgen

Since Specialization

Citations

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

Fields of papers citing papers by Markus Rütgen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Rütgen

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