Erik M. Schmidt

2.6k total citations
55 papers, 1.5k citations indexed

About

Erik M. Schmidt is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Erik M. Schmidt has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 23 papers in Computer Vision and Pattern Recognition and 14 papers in Cognitive Neuroscience. Recurrent topics in Erik M. Schmidt's work include Music and Audio Processing (25 papers), Music Technology and Sound Studies (23 papers) and Speech and Audio Processing (14 papers). Erik M. Schmidt is often cited by papers focused on Music and Audio Processing (25 papers), Music Technology and Sound Studies (23 papers) and Speech and Audio Processing (14 papers). Erik M. Schmidt collaborates with scholars based in United States, Denmark and Germany. Erik M. Schmidt's co-authors include Youngmoo E. Kim, Joost Engelfriet, Kurt Mehlhorn, Douglas Turnbull, Brandon G. Morton, Jeffrey J. Scott, Raymond Migneco, Patrick Richardson, Yi‐Hsuan Yang and Mohammad Soleymani and has published in prestigious journals such as Chemistry - A European Journal, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Erik M. Schmidt

53 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik M. Schmidt United States 20 814 494 483 421 393 55 1.5k
Dan Ventura United States 19 83 0.1× 692 1.4× 285 0.6× 110 0.3× 174 0.4× 129 1.2k
Sriram Srinivasan United States 17 507 0.6× 633 1.3× 149 0.3× 49 0.1× 123 0.3× 72 1.4k
Lokendra Shastri United States 18 92 0.1× 808 1.6× 101 0.2× 131 0.3× 496 1.3× 69 1.4k
Perfecto Herrera Spain 26 2.2k 2.7× 494 1.0× 1.8k 3.6× 14 0.0× 725 1.8× 142 2.8k
Alan Smaill United Kingdom 16 178 0.2× 431 0.9× 199 0.4× 171 0.4× 139 0.4× 72 775
Mark Fanty United States 15 284 0.3× 515 1.0× 153 0.3× 17 0.0× 108 0.3× 41 739
William W. Armstrong Canada 11 238 0.3× 476 1.0× 121 0.3× 147 0.3× 191 0.5× 34 1.2k
David Temperley United States 26 935 1.1× 694 1.4× 685 1.4× 47 0.1× 1.1k 2.8× 72 2.2k
Ritendra Datta United States 14 231 0.3× 394 0.8× 2.7k 5.6× 24 0.1× 250 0.6× 24 3.1k
Jean-Camille Birget United States 17 850 1.0× 270 0.5× 227 0.5× 470 1.1× 49 0.1× 52 1.6k

Countries citing papers authored by Erik M. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Erik M. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik M. Schmidt

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

All Works

20 of 20 papers shown
1.
Schmidt, Erik M., et al.. (2019). The vent effect in instant ear tips and its impact on the fitting of modern hearing aids. 7. 205–212. 3 indexed citations
2.
Pons, Jordi, et al.. (2018). End-to-end Learning for Music Audio Tagging at Scale. International Symposium/Conference on Music Information Retrieval. 637–644. 27 indexed citations
3.
Wolters, Florian, et al.. (2016). Common Sound Scenarios: A Context-Driven Categorization of Everyday Sound Environments for Application in Hearing-Device Research. Journal of the American Academy of Audiology. 27(7). 527–540. 41 indexed citations
4.
Ehmann, Andreas F., et al.. (2015). Modeling Genre With The Music Genome Project: Comparing Human-Labeled Attributes And Audio Features.. Zenodo (CERN European Organization for Nuclear Research). 31–37. 12 indexed citations
5.
Soleymani, Mohammad, et al.. (2013). The MediaEval 2013 Brave New Task: Emotion in Music.. MediaEval. 10 indexed citations
6.
Schmidt, Erik M., et al.. (2013). Evaluating the Physical Fit of Receiver-in-the-Ear Hearing Aids in Infants. Journal of the American Academy of Audiology. 24(3). 174–191. 1 indexed citations
7.
Schmidt, Erik M., et al.. (2012). Affective gesturing with music mood recognition. 1. 343–348. 2 indexed citations
8.
Schmidt, Erik M.. (2012). Modeling and predicting emotion in music. View. 3 indexed citations
9.
Schmidt, Erik M. & Youngmoo E. Kim. (2011). Learning emotion-based acoustic features with deep belief networks. 65–68. 60 indexed citations
10.
Schmidt, Erik M. & Youngmoo E. Kim. (2011). Modeling Musical Emotion Dynamics With Conditional Random Fields.. Zenodo (CERN European Organization for Nuclear Research). 777–782. 47 indexed citations
11.
Schmidt, Erik M., Raymond Migneco, Jeffrey J. Scott, & Youngmoo E. Kim. (2011). Modeling musical instrument tones as dynamic textures. 329–332. 2 indexed citations
12.
Schmidt, Erik M., Kris West, & Youngmoo E. Kim. (2009). Efficient Acoustic Feature Extraction For Music Information Retrieval Using Programmable Gate Arrays.. Zenodo (CERN European Organization for Nuclear Research). 273–278. 7 indexed citations
13.
14.
Fleischer, Rudolf, Bernard M. E. Moret, & Erik M. Schmidt. (2002). Experimental Algorithmics : From Algorithm Design to Robust and Efficient Software. DIAL (Catholic University of Leuven). 6 indexed citations
15.
Sanders, Peter, Berthold Vöcking, Martti Penttonen, & Erik M. Schmidt. (2002). Random Arc Allocation and Applications to Disks, Drums and DRAMs. Max Planck Institute for Plasma Physics. 121–130. 1 indexed citations
16.
Schmidt, Erik M. & Sven Skyum. (1994). Proceedings of the 4th Scandinavian Workshop on Algorithm Theory. 37 indexed citations
17.
Mehlhorn, Kurt & Erik M. Schmidt. (1982). Las Vegas is better than determinism in VLSI and distributed computing (Extended Abstract). 330–337. 77 indexed citations
18.
Engelfriet, Joost & Erik M. Schmidt. (1978). IO and OI. II. Journal of Computer and System Sciences. 16(1). 67–99. 63 indexed citations
19.
Engelfriet, Joost & Erik M. Schmidt. (1977). IO and OI. I. Journal of Computer and System Sciences. 15(3). 328–353. 71 indexed citations
20.
Schmidt, Erik M. & Thomas G. Szymanski. (1977). Succinctness of Descriptions of Unambiguous Context-Free Languages. SIAM Journal on Computing. 6(3). 547–553. 20 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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