M. Hofmann

90 total papers · 3.6k total citations
26 papers, 1.2k citations indexed

About

M. Hofmann is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Hofmann has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Psychiatry and Mental health, 5 papers in Cognitive Neuroscience and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Hofmann's work include Dementia and Cognitive Impairment Research (4 papers), AI-based Problem Solving and Planning (3 papers) and Schizophrenia research and treatment (3 papers). M. Hofmann is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), AI-based Problem Solving and Planning (3 papers) and Schizophrenia research and treatment (3 papers). M. Hofmann collaborates with scholars based in Germany, Switzerland and United States. M. Hofmann's co-authors include Christoph Höck, F. Müller‐Spahn, Ulrike Lemke, Johannes Streffer, Jay Tracy, Katharina Henke, Andreas Papassotiropoulos, Uwe Konietzko, Roger M. Nitsch and Daniel Umbricht and has published in prestigious journals such as Neuron, PLoS ONE and Brain Research.

In The Last Decade

M. Hofmann

22 papers receiving 1.1k citations

Hit Papers

Antibodies against β-Amyl... 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
M. Hofmann 561 245 240 230 197 26 1.2k
Douglas W. Scharre 313 0.6× 547 2.2× 145 0.6× 85 0.4× 177 0.9× 59 1.3k
Philip S.J. Weston 586 1.0× 460 1.9× 162 0.7× 214 0.9× 249 1.3× 28 1.2k
D. G. Davis 855 1.5× 733 3.0× 337 1.4× 99 0.4× 188 1.0× 16 1.4k
Meina Quan 347 0.6× 379 1.5× 187 0.8× 143 0.6× 285 1.4× 38 1.4k
Maarten Timmers 563 1.0× 354 1.4× 164 0.7× 90 0.4× 238 1.2× 57 1.3k
Gabrielle Strobel 870 1.6× 565 2.3× 288 1.2× 77 0.3× 434 2.2× 11 1.5k
Allitia DiBernardo 218 0.4× 397 1.6× 211 0.9× 69 0.3× 176 0.9× 45 1.4k
Francesco Garaci 593 1.1× 276 1.1× 162 0.7× 76 0.3× 282 1.4× 25 1.1k
Laëtitia Lemoine 859 1.5× 408 1.7× 183 0.8× 275 1.2× 342 1.7× 33 1.5k
Dawn Mechanic‐Hamilton 265 0.5× 330 1.3× 182 0.8× 106 0.5× 134 0.7× 40 1.1k

Countries citing papers authored by M. Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by M. Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hofmann

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hofmann. A scholar is included among the top collaborators of M. Hofmann 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 M. Hofmann. M. Hofmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026