E. Gurewitz

1.9k citations
33 papers · 1.4k · h-index 13

Impact in

Papers in

E. Gurewitz

31 papers receiving 1.3k citations

Peers

E. Gurewitz
Comparison fields: 5 of 103
  • Condensed Matter Physics 269
  • Computer Vision and Pattern Recognition 394
  • Artificial Intelligence 567
  • Signal Processing 164
  • Electronic, Optical and Magnetic Materials 253
Replace K. P. Sinha with:
K. P. Sinha India
K. Y. Michael Wong Hong Kong
Yanjun Han China
D. Bloyet France
Subir Kumar Sarkar India
James L. Blue United States
Kazuyuki Tanaka Japan
Yanjun Ma United States
Yan Wang China
Bernard Nienhuis Netherlands
E. Gurewitz relative to K. P. Sinha India K. P. Sinha's profile →
Citations per field
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K. P. Sinha · 1×
Citations per year

Countries citing papers authored by E. Gurewitz

Since Specialization
Citations

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

Fields of papers citing papers by E. Gurewitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Gurewitz, 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 E. Gurewitz Line = papers co-authored together E. Gurewitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990320
2 1990263
3 1992189
4 1993114
5 1978101
6 197988
7 197947
8 197046
9 198330
10 198221
11 197920
12 197413
13 197012
14 198212
15 198212
16 197912
17 199111
18 197810
19 19809
20 19729

About E. Gurewitz

E. Gurewitz is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Artificial Intelligence, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Condensed Matter Physics (8 papers), Rare-earth and actinide compounds (6 papers), Iron-based superconductors research (5 papers), Theoretical and Computational Physics (4 papers), Neural Networks and Applications (4 papers), Multiferroics and related materials (4 papers), Advanced Clustering Algorithms Research (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Condensed Matter Physics (269 citations), Computer Vision and Pattern Recognition (394 citations), Artificial Intelligence (567 citations), Signal Processing (164 citations) and Electronic, Optical and Magnetic Materials (253 citations). E. Gurewitz has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Kenneth Rose, Geoffrey Fox, H. Shaked, Geoffrey Fox, N. Shamir, H. Pinto, J. Makovsky, U. Atzmony, M. Melamud and A.J. Epstein. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter, Journal of Magnetism and Magnetic Materials, Journal of Applied Physics and IEEE Transactions on Information Theory.

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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