Eli Pollak

10.1k citations
313 papers · 8.8k · h-index 48

Impact in

Papers in

Eli Pollak

309 papers receiving 8.5k citations

Peers

Eli Pollak
Comparison fields: 5 of 89
  • Physical and Theoretical Chemistry 3.9k
  • Statistical and Nonlinear Physics 3.6k
  • Atomic and Molecular Physics, and Optics 4.5k
  • Mathematical Physics 487
  • Numerical Analysis 140
Replace Philip Pechukas with:
Philip Pechukas United States
J. N. L. Connor United Kingdom
Hazime Mori Japan
David K. Hoffman United States
Mark Sheard Child United Kingdom
Hermann Grabert Germany
Lars Onsager United States
Gary P. Morriss Australia
Nimrod Moiseyev Israel
YiJing Yan China
Eli Pollak relative to Philip Pechukas United States Philip Pechukas's profile →
Citations per field
00.5×2×3×4.2×
Philip Pechukas · 1×
Citations per year

Countries citing papers authored by Eli Pollak

Since Specialization
Citations

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

Fields of papers citing papers by Eli Pollak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 313 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986361
2 1989327
3 2005261
4 1978231
5 1978188
6 1998144
7 1984135
8 1989133
9 1980122
10 1979119
11 1992107
12 1990106
13 2004106
14 1988100
15 198294
16 198989
17 197987
18 198687
19 199886
20 198185

About Eli Pollak

Eli Pollak is a scholar working on Physical and Theoretical Chemistry, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Applied Mathematics and Numerical Analysis, having authored 313 papers that have together received 8.8k indexed citations. Recurring topics across this work include Advanced Physical and Chemical Molecular Interactions (144 papers), Quantum chaos and dynamical systems (114 papers), Spectroscopy and Quantum Chemical Studies (45 papers), Advanced Chemical Physics Studies (38 papers), Atomic and Molecular Physics (35 papers), Quantum Mechanics and Applications (33 papers), stochastic dynamics and bifurcation (31 papers) and Surface and Thin Film Phenomena (24 papers). The work is most often cited by research in Physical and Theoretical Chemistry (3.9k citations), Statistical and Nonlinear Physics (3.6k citations), Atomic and Molecular Physics, and Optics (4.5k citations), Mathematical Physics (487 citations) and Numerical Analysis (140 citations). Eli Pollak has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Philip Pechukas, Peter Talkner A, Jie-Lou Liao, Peter Hänggi A, Salvador Miret-Artés, Shesheng Zhang, Mark Sheard Child, Jose M. Gomez Llorente, Hermann Grabert and Reuven Ianconescu. Their work appears in journals such as The Journal of Chemical Physics, Chemical Physics Letters, Physical Review A, Chemical Physics and Physical Review Letters.

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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