Déborah Cohen

2.9k citations
62 papers · 2.0k indexed · 2 hit papers · h-index 23

Impact in

Papers in

Déborah Cohen

59 papers receiving 1.9k citations

Hit Papers

Global prediction of extreme floods in ungauged watersheds 2024 · 134 citations
1341969202619882007100200300400500

Peers

Déborah Cohen
Comparison fields: 5 of 125
  • Aquatic Science 255
  • Signal Processing 266
  • Nature and Landscape Conservation 291
  • Ecology 469
  • Computational Mechanics 362
Replace Washington Mio with:
Washington Mio United States
Charles R. Giardina United States
N. A. Campbell Australia
Frank P. Kuhl United States
Pierre Dutilleul Canada
Jianhua Huang China
J. N. R. Jeffers United Kingdom
Andrew Gardner United States
J.B. Hughes United Kingdom
David J. Winter United States
Déborah Cohen relative to Washington Mio United States Washington Mio's profile →
Citations per field
00.5×3.9×
Washington Mio · 1×
Citations per year

Countries citing papers authored by Déborah Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Déborah Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Déborah Cohen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Déborah Cohen Line = papers co-authored together Déborah Cohen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2
Global prediction of extreme floods in ungauged watersheds
Hit paper breakdown →
2024134
3 201773
4 20171
5 20173
6 201715
7 201786
8 201614
9 20162
10 201517
11 201425
12 20130
13 200329
14 19946
15 199391
16
Growth, maturation and progeny of sex-reversed Macrobrachium rosenbergii males.
199067
17 198722
18 198339
19 198264
20 197773

About Déborah Cohen

Déborah Cohen is a scholar working on Aquatic Science, Computational Mechanics, Signal Processing, Computer Networks and Communications and Nature and Landscape Conservation, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (21 papers), Cognitive Radio Networks and Spectrum Sensing (14 papers), Radar Systems and Signal Processing (12 papers), Crustacean biology and ecology (10 papers), Aquaculture Nutrition and Growth (9 papers), Blind Source Separation Techniques (9 papers), Advanced Adaptive Filtering Techniques (8 papers) and Marine and fisheries research (7 papers). The work is most often cited by research in Aquatic Science (255 citations), Signal Processing (266 citations), Nature and Landscape Conservation (291 citations), Ecology (469 citations) and Computational Mechanics (362 citations). Déborah Cohen has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Richard C Lewontin, Yonina C. Eldar, Tsvi Sachs, Stęphan T. Stern, Ariel Novoplansky, Amir Sagi, Ziva Ra’anan, Arieh Borut, Or Yair and Kumar Vijay Mishra. Their work appears in journals such as Aquaculture, IEEE Transactions on Signal Processing, Journal of Economic Entomology, IEEE Signal Processing Magazine and Representations.

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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