Michael Trumpis

40 total papers · 1.6k total citations
19 papers, 355 citations indexed

About

Michael Trumpis is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Michael Trumpis has authored 19 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Michael Trumpis's work include Neuroscience and Neural Engineering (12 papers), Neural dynamics and brain function (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Michael Trumpis is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Neural dynamics and brain function (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Michael Trumpis collaborates with scholars based in United States, Italy and Switzerland. Michael Trumpis's co-authors include Jonathan Viventi, Chia‐Han Chiang, Johanna M. Zumer, Kensuke Sekihara, Srikantan S. Nagarajan, Adrian G. Guggisberg, Daniel D.E. Wong, Sarang S. Dalal, Michele N. Insanally and Robert C. Froemke and has published in prestigious journals such as Nature Communications, Clinical Neurophysiology and Journal of Neural Engineering.

In The Last Decade

Michael Trumpis

18 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Michael Trumpis	256	143	66	60	43	19	355
Haroon Anwar	275 1.1×	138 1.0×	23 0.3×	41 0.7×	45 1.0×	14	372
Hadas Benisty	142 0.6×	100 0.7×	33 0.5×	67 1.1×	53 1.2×	23	320
Thomas Costecalde	185 0.7×	198 1.4×	52 0.8×	62 1.0×	21 0.5×	20	380
Nuria Benito	204 0.8×	231 1.6×	24 0.4×	27 0.5×	11 0.3×	11	309
Eunjin Jeon	238 0.9×	62 0.4×	36 0.5×	65 1.1×	30 0.7×	19	313
Haoshi Zhang	217 0.8×	109 0.8×	287 4.3×	15 0.3×	23 0.5×	33	402
Hiroyuki Mino	272 1.1×	121 0.8×	59 0.9×	31 0.5×	24 0.6×	27	361
Hongyu Chen	158 0.6×	31 0.2×	121 1.8×	47 0.8×	26 0.6×	31	360
Pengfei Sun	252 1.0×	102 0.7×	37 0.6×	75 1.3×	50 1.2×	13	352
Jeremiah Wander	357 1.4×	203 1.4×	83 1.3×	61 1.0×	5 0.1×	17	399

Countries citing papers authored by Michael Trumpis

Since Specialization

Citations

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

Fields of papers citing papers by Michael Trumpis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Trumpis

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