Jordan Cohen

783 total citations · 1 hit paper
18 papers, 586 citations indexed

About

Jordan Cohen is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Jordan Cohen has authored 18 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 9 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Jordan Cohen's work include Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (5 papers). Jordan Cohen is often cited by papers focused on Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (5 papers). Jordan Cohen collaborates with scholars based in United States, Japan and France. Jordan Cohen's co-authors include Priya E D'Souza, Ronald E. Hunter, Samantha Radford, Parinya Panuwet, M. Elizabeth Marder, Dana Boyd Barr, P. Barry Ryan, Xianyu Chen, Andreas G. Andreou and Terri Kamm and has published in prestigious journals such as Proceedings of the IEEE, Cerebral Cortex and The Journal of the Acoustical Society of America.

In The Last Decade

Jordan Cohen

16 papers receiving 540 citations

Hit Papers

Biological Matrix Effects in Quantitative Tandem Mass Spe... 2015 2026 2018 2022 2015 50 100 150 200 250
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.

  1. Biological Matrix Effects in Quantitative Tandem Mass Spectrometry-Based Analytical Methods: Advancing Biomonitoring
    2015 296 citations Parinya Panuwet, Ronald E. Hunter et al. Critical Reviews in Analytical Chemistry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordan Cohen United States 10 177 172 103 86 84 18 586
Naveen Kumar India 13 81 0.5× 118 0.7× 57 0.6× 33 0.4× 52 0.6× 62 802
Mark Witkowski United Kingdom 15 37 0.2× 61 0.4× 159 1.5× 55 0.6× 161 1.9× 58 719
Markus Schröder Germany 14 132 0.7× 256 1.5× 152 1.5× 18 0.2× 61 0.7× 30 1.1k
Wenping Guo China 11 32 0.2× 86 0.5× 183 1.8× 15 0.2× 102 1.2× 26 530
Bo Yuan United States 19 31 0.2× 102 0.6× 263 2.6× 39 0.5× 220 2.6× 74 1.2k
Jingyi Zheng United States 13 24 0.1× 34 0.2× 82 0.8× 30 0.3× 33 0.4× 60 444
S. S. Agrawal India 12 124 0.7× 102 0.6× 189 1.8× 5 0.1× 13 0.2× 43 604
Guoquan Wang China 11 21 0.1× 65 0.4× 79 0.8× 35 0.4× 59 0.7× 33 321
C. Boucon Netherlands 12 22 0.1× 55 0.3× 83 0.8× 57 0.7× 100 1.2× 15 463
Philippe Lopes France 20 16 0.1× 54 0.3× 393 3.8× 60 0.7× 36 0.4× 61 1.3k

Countries citing papers authored by Jordan Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Jordan Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan Cohen

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

All Works

18 of 18 papers shown
1.
Ogawa, Tetsuji, Sri Harish Mallidi, Emmanuel Dupoux, et al.. (2016). A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation. 2222–2227. 1 indexed citations
2.
Panuwet, Parinya, Ronald E. Hunter, Priya E D'Souza, et al.. (2015). Biological Matrix Effects in Quantitative Tandem Mass Spectrometry-Based Analytical Methods: Advancing Biomonitoring. Critical Reviews in Analytical Chemistry. 46(2). 93–105. 296 indexed citations breakdown →
3.
Heřmanský, Hynek, Lukáš Burget, Jordan Cohen, et al.. (2015). Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop. 1. 5009–5013. 5 indexed citations
4.
Parthasarathi, Sree Hari Krishnan, Shuo-Yiin Chang, Jordan Cohen, Nelson Morgan, & Steven Wegmann. (2013). The blame game in meeting room ASR: An analysis of feature versus model errors in noisy and mismatched conditions. 6758–6762. 12 indexed citations
5.
Heřmanský, Hynek, Jordan Cohen, & Richard M. Stern. (2013). Perceptual Properties of Current Speech Recognition Technology. Proceedings of the IEEE. 101(9). 1968–1985. 13 indexed citations
6.
Cohen, Jordan, Kartik K. Sreenivasan, & Mark D’Esposito. (2012). Correspondence Between Stimulus Encoding- and Maintenance-Related Neural Processes Underlies Successful Working Memory. Cerebral Cortex. 24(3). 593–599. 29 indexed citations
7.
Acero, Alex, et al.. (2011). Media Search in Mobile Devices [From the Guest Editors]. IEEE Signal Processing Magazine. 28(4). 12–13. 3 indexed citations
8.
Cohen, Jordan, et al.. (2009). Mobile media search. 96. 4897–4900. 3 indexed citations
9.
Cohen, Jordan. (2008). Embedded speech recognition applications in mobile phones: Status, trends, and challenges. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 5352–5355. 45 indexed citations
10.
Cohen, Jordan. (2005). A pitch measurement algorithm for speech. 7. 176–179.
11.
Cohen, Jordan, Terri Kamm, & Andreas G. Andreou. (1995). Vocal tract normalization in speech recognition: Compensating for systematic speaker variability. The Journal of the Acoustical Society of America. 97(5_Supplement). 3246–3247. 60 indexed citations
12.
Cohen, Jordan. (1989). Application of an auditory model to speech recognition. The Journal of the Acoustical Society of America. 85(6). 2623–2629. 71 indexed citations
13.
Braida, Louis D., Michael Picheny, Jordan Cohen, W. M. Rabinowitz, & Joseph S. Perkell. (1986). Use of articulatory signals in automatic speech recognition. The Journal of the Acoustical Society of America. 80(S1). S18–S18. 2 indexed citations
14.
Cohen, Jordan. (1985). Application of an adaptive auditory model to speech recognition. The Journal of the Acoustical Society of America. 78(S1). S50–S50. 11 indexed citations
15.
Cohen, Jordan. (1982). A theory of the neural coding of pitch. University Microfilms International eBooks. 1 indexed citations
16.
Cohen, Jordan. (1981). Segmenting speech using dynamic programming. The Journal of the Acoustical Society of America. 69(5). 1430–1438. 15 indexed citations
17.
Cohen, Jordan, et al.. (1980). Weighty voices and shaky evidence: A critique. The Journal of the Acoustical Society of America. 68(6). 1884–1886. 18 indexed citations
18.
Cohen, Jordan, et al.. (1976). Choral speech and phonetic invariance. The Journal of the Acoustical Society of America. 60(S1). S46–S46. 1 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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