Maximilian Schmitt

84 total papers · 2.2k total citations
53 papers, 976 citations indexed

About

Maximilian Schmitt is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Maximilian Schmitt has authored 53 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Signal Processing, 23 papers in Experimental and Cognitive Psychology and 19 papers in Artificial Intelligence. Recurrent topics in Maximilian Schmitt's work include Music and Audio Processing (20 papers), Speech and Audio Processing (19 papers) and Emotion and Mood Recognition (19 papers). Maximilian Schmitt is often cited by papers focused on Music and Audio Processing (20 papers), Speech and Audio Processing (19 papers) and Emotion and Mood Recognition (19 papers). Maximilian Schmitt collaborates with scholars based in Germany, United Kingdom and Austria. Maximilian Schmitt's co-authors include Björn W. Schuller, Fabien Ringeval, Jing Han, Shahin Amiriparian, Kun Qian, Nicholas Cummins, Vedhas Pandit, Maja Pantić, Zixing Zhang and Anton Batliner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Maximilian Schmitt

52 papers receiving 931 citations

Author Peers

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

Author Last Decade Papers Cites
Maximilian Schmitt 389 371 368 135 112 53 976
Shahin Amiriparian 523 1.3× 459 1.2× 497 1.4× 189 1.4× 100 0.9× 72 1.2k
Vered Aharonson 255 0.7× 394 1.1× 276 0.8× 84 0.6× 81 0.7× 61 1.1k
Tobias Bocklet 458 1.2× 298 0.8× 650 1.8× 142 1.1× 357 3.2× 78 1.2k
Anders Eriksson 279 0.7× 484 1.3× 418 1.1× 49 0.4× 125 1.1× 56 1.0k
Gábor Gosztolya 353 0.9× 196 0.5× 547 1.5× 49 0.4× 176 1.6× 87 994
Zhao Ren 377 1.0× 176 0.5× 298 0.8× 98 0.7× 39 0.3× 64 1.0k
Hironori Takemoto 377 1.0× 393 1.1× 357 1.0× 89 0.7× 365 3.3× 54 928
Ziping Zhao 352 0.9× 674 1.8× 421 1.1× 149 1.1× 20 0.2× 63 1.2k
Jouni Pohjalainen 595 1.5× 156 0.4× 614 1.7× 165 1.2× 77 0.7× 44 995
Ron Hoory 569 1.5× 378 1.0× 707 1.9× 137 1.0× 96 0.9× 40 1.2k

Countries citing papers authored by Maximilian Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Schmitt

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