Marvin Ritter

19 total papers · 4.0k total citations
7 papers, 1.9k citations indexed

About

Marvin Ritter is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marvin Ritter has authored 7 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Marvin Ritter's work include Speech and Audio Processing (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Music and Audio Processing (2 papers). Marvin Ritter is often cited by papers focused on Speech and Audio Processing (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Music and Audio Processing (2 papers). Marvin Ritter collaborates with scholars based in United States, Germany and Switzerland. Marvin Ritter's co-authors include Daniel P. W. Ellis, Manoj Plakal, Aren Jansen, Robert C. Moore, Jort F. Gemmeke, Mario Lučić, Xiaohua Zhai, Neil Houlsby, Ting Chen and Michael Tschannen and has published in prestigious journals such as Circulation Research, Frontiers in Immunology and International Conference on Machine Learning.

In The Last Decade

Marvin Ritter

7 papers receiving 1.8k citations

Hit Papers

Audio Set: An ontology an... 2017 2026 2020 2023 2017 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Marvin Ritter 1.3k 839 624 155 97 7 1.9k
Sourish Chaudhuri 1.1k 0.8× 688 0.8× 514 0.8× 123 0.8× 153 1.6× 20 1.6k
Bryan Seybold 901 0.7× 633 0.8× 416 0.7× 380 2.5× 160 1.6× 11 1.8k
Eric Battenberg 1.3k 1.0× 543 0.6× 574 0.9× 222 1.4× 292 3.0× 15 1.8k
Matt McVicar 1.4k 1.1× 638 0.8× 535 0.9× 268 1.7× 296 3.1× 23 1.9k
Dawen Liang 1.5k 1.2× 954 1.1× 1.4k 2.2× 272 1.8× 293 3.0× 27 3.2k
Qiuqiang Kong 1.3k 1.1× 704 0.8× 605 1.0× 118 0.8× 49 0.5× 62 1.8k
Oriol Nieto 1.7k 1.4× 883 1.1× 601 1.0× 329 2.1× 298 3.1× 34 2.3k
Ossama Abdel‐Hamid 1.4k 1.1× 578 0.7× 1.8k 2.9× 171 1.1× 161 1.7× 14 3.0k
Daniel Park 1.5k 1.2× 248 0.3× 1.7k 2.8× 55 0.4× 133 1.4× 13 2.4k
Patrick Cook 1.7k 1.3× 1.3k 1.5× 266 0.4× 355 2.3× 50 0.5× 10 2.0k

Countries citing papers authored by Marvin Ritter

Since Specialization
Citations

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

Fields of papers citing papers by Marvin Ritter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marvin Ritter

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