Marvin Ritter

4.1k total citations · 1 hit paper
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), Music and Audio Processing (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Marvin Ritter is often cited by papers focused on Speech and Audio Processing (3 papers), Music and Audio Processing (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Marvin Ritter collaborates with scholars based in United States, Germany and Switzerland. Marvin Ritter's co-authors include Aren Jansen, Manoj Plakal, Jort F. Gemmeke, Daniel P. W. Ellis, Robert C. Moore, Xiaohua Zhai, Mario Lučić, Ting Chen, Neil Houlsby and Sylvain Gelly 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Audio Set: An ontology and human-labeled dataset for audio events

2017 1.7k citations Jort F. Gemmeke, Daniel P. W. Ellis et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marvin Ritter United States	5	1.3k	849	630	158	98	7	1.9k
Sourish Chaudhuri United States	8	1.1k 0.8×	695 0.8×	516 0.8×	124 0.8×	155 1.6×	20	1.7k
Shawn Hershey United States	4	967 0.7×	664 0.8×	442 0.7×	122 0.8×	152 1.6×	5	1.5k
Qiuqiang Kong United Kingdom	22	1.4k 1.1×	709 0.8×	615 1.0×	120 0.8×	50 0.5×	62	1.8k
Eric Battenberg United States	8	1.3k 1.0×	552 0.7×	587 0.9×	225 1.4×	296 3.0×	15	1.9k
Matt McVicar United Kingdom	9	1.4k 1.1×	647 0.8×	548 0.9×	271 1.7×	300 3.1×	23	1.9k
Oriol Nieto United States	15	1.8k 1.4×	893 1.1×	616 1.0×	332 2.1×	302 3.1×	34	2.3k
Karol J. Piczak Poland	3	1.1k 0.9×	417 0.5×	296 0.5×	100 0.6×	26 0.3×	4	1.3k
Toni Heittola Finland	23	2.4k 1.9×	1.1k 1.3×	758 1.2×	188 1.2×	35 0.4×	48	2.8k
Shlomo Dubnov United States	20	1.0k 0.8×	719 0.8×	389 0.6×	323 2.0×	53 0.5×	93	1.4k
Emmanouil Benetos United Kingdom	23	2.1k 1.6×	1.3k 1.5×	522 0.8×	271 1.7×	32 0.3×	138	2.4k

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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7 of 7 papers shown

1.

Ritter, Marvin, Stefanie Deinhardt‐Emmer, Aaron Lawson McLean, et al.. (2024). Chronic hepatitis E virus-induced spinal cord atrophy in a patient with chronic lymphatic leukemia: a case report and interdisciplinary management proposal. Frontiers in Immunology. 15. 1445944–1445944. 1 indexed citations

2.

Lučić, Mario, Michael Tschannen, Marvin Ritter, et al.. (2019). High-Fidelity Image Generation With Fewer Labels. International Conference on Machine Learning. 4183–4192. 16 indexed citations

3.

Chen, Ting, Xiaohua Zhai, Marvin Ritter, Mario Lučić, & Neil Houlsby. (2019). Self-Supervised GANs via Auxiliary Rotation Loss. 12146–12155. 182 indexed citations

4.

Herrmann, Karl‐Heinz, Marvin Ritter, Jan Walter, et al.. (2019). Propentdyopents as Heme Degradation Intermediates Constrict Mouse Cerebral Arterioles and Are Present in the Cerebrospinal Fluid of Patients With Subarachnoid Hemorrhage. Circulation Research. 124(12). e101–e114. 21 indexed citations

5.

Gemmeke, Jort F., Daniel P. W. Ellis, Aren Jansen, et al.. (2017). Audio Set: An ontology and human-labeled dataset for audio events. 776–780. 1668 indexed citations breakdown →

6.

Ritter, Marvin, Markus Müller, Sebastian Stüker, Florian Metze, & Alex Waibel. (2016). Training Deep Neural Networks for Reverberation Robust Speech Recognition. KITopen. 1–5. 3 indexed citations

7.

Yang, Jie, Jing Xiao, & Marvin Ritter. (2002). Automatic selection of visemes for image-based visual speech synthesis. 2. 1081–1084. 5 indexed citations

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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