Jordan Cohen

783 citations
18 papers · 586 indexed · 1 hit paper · h-index 10

Jordan Cohen

16 papers receiving 540 citations

Hit Papers

Biological Matrix Effects in Quantitative Tandem Mass Spe...2015202620182022201550100150200250

Peers

Jordan Cohen
Comparison fields: 5 of 120
  • Signal Processing 177
  • Artificial Intelligence 172
  • Molecular Biology 103
  • Spectroscopy 86
  • Food Science 84
Replace Mark Witkowski with:
Mark Witkowski United Kingdom
Naveen Kumar India
Markus Schröder Germany
Bo Yuan United States
S. S. Agrawal India
Philippe Lopes France
Wenping Guo China
Jingyi Zheng United States
Fabien Jourdan France
Guoquan Wang China
Jordan Cohen relative to Mark Witkowski United Kingdom Mark Witkowski's profile →
Citations per field
00.5×4.8×
Mark Witkowski · 1×
Citations per year

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
#WorkIndexed citations
1 1
2
Biological Matrix Effects in Quantitative Tandem Mass Spectrometry-Based Analytical Methods: Advancing Biomonitoringbreakdown →
296
3 5
4 12
5 13
6 29
7 3
8 3
9 45
10 0
11 60
12 71
13 2
14 11
15
A theory of the neural coding of pitch
1
16 15
17 18
18 1

About Jordan Cohen

Jordan Cohen is a scholar working on Signal Processing, Artificial Intelligence and Sensory Systems, having authored 18 papers that have together received 586 indexed citations. Recurring topics across this work include Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (177 citations), Analytical Chemistry (56 citations) and Artificial Intelligence (172 citations). Jordan Cohen has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Samantha Radford, Ronald E. Hunter, Xianyu Chen, Parinya Panuwet, M. Elizabeth Marder, Priya E D'Souza, P. Barry Ryan, Dana Boyd Barr, Andreas G. Andreou and Terri Kamm. Their work appears in journals such as Proceedings of the IEEE, Cerebral Cortex and The Journal of the Acoustical Society of America.

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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