Jonathan Malkin

19 total papers · 461 total citations
16 papers, 330 citations indexed

About

Jonathan Malkin is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan Malkin has authored 16 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Malkin's work include Speech and Audio Processing (5 papers), Tactile and Sensory Interactions (4 papers) and Blind Source Separation Techniques (4 papers). Jonathan Malkin is often cited by papers focused on Speech and Audio Processing (5 papers), Tactile and Sensory Interactions (4 papers) and Blind Source Separation Techniques (4 papers). Jonathan Malkin collaborates with scholars based in United States. Jonathan Malkin's co-authors include Jeff Bilmes, James A. Landay, Susumu Harada, Amarnag Subramanya, Richard Wright, Xiao Li, H.J. Chizeck, Patricia Dowden, Xiao Li and Jacob O. Wobbrock and has published in prestigious journals such as Computer Speech & Language, Disability and Rehabilitation Assistive Technology and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

Jonathan Malkin

16 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Jonathan Malkin 149 146 117 75 60 16 330
Cristina Nader Vasconcelos 95 0.6× 39 0.3× 90 0.8× 21 0.3× 115 1.9× 27 321
Štefan Gheorghe Pentiuc 141 0.9× 98 0.7× 84 0.7× 21 0.3× 71 1.2× 48 353
Deepak Gopinath 36 0.2× 53 0.4× 129 1.1× 30 0.4× 64 1.1× 10 299
Manohar Swaminathan 78 0.5× 90 0.6× 42 0.4× 10 0.1× 33 0.6× 23 257
Eleni Efthimiou 226 1.5× 66 0.5× 76 0.6× 4 0.1× 71 1.2× 50 353
Paul McIsaac 85 0.6× 182 1.2× 18 0.2× 17 0.2× 13 0.2× 10 331
Md. Kamrul Hasan 95 0.6× 30 0.2× 81 0.7× 16 0.2× 118 2.0× 39 362
Hyong-Euk Lee 91 0.6× 67 0.5× 75 0.6× 14 0.2× 141 2.4× 25 341
Ellen Campana 40 0.3× 116 0.8× 146 1.2× 34 0.5× 56 0.9× 32 330
Yolanda Vazquez-Alvarez 143 1.0× 123 0.8× 117 1.0× 30 0.4× 82 1.4× 21 358

Countries citing papers authored by Jonathan Malkin

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Malkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Malkin

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