Tova Feldmann

1.7k citations
43 papers · 1.3k · h-index 15

Impact in

Papers in

Tova Feldmann

41 papers receiving 1.3k citations

Peers

Tova Feldmann
Comparison fields: 5 of 71
  • Statistical and Nonlinear Physics 943
  • Atomic and Molecular Physics, and Optics 800
  • Civil and Structural Engineering 403
  • Artificial Intelligence 396
  • Numerical Analysis 60
Replace F. D. Murnaghan with:
F. D. Murnaghan Brazil
T. Horiguchi Japan
Sanqiu Liu China
A. Heine Germany
Μ. Beneke Germany
Ruggero María Santilli United States
B. L. Burrows United Kingdom
W. van Dijk Canada
Frédéric Legoll France
A. Gervois France
Tova Feldmann relative to F. D. Murnaghan Brazil F. D. Murnaghan's profile →
Citations per field
00.5×10×15.5×
F. D. Murnaghan · 1×
Citations per year

Countries citing papers authored by Tova Feldmann

Since Specialization
Citations

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

Fields of papers citing papers by Tova Feldmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Tova Feldmann, 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 Tova Feldmann Line = papers co-authored together Tova Feldmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993217
2 2000214
3 2003170
4 2002110
5 1996110
6 2004103
7 200678
8 201052
9 201238
10 196735
11 198524
12 201018
13 196917
14 198915
15 196515
16 200611
17 199711
18 19828
19 20167
20 19797

About Tova Feldmann

Tova Feldmann is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Mathematical Physics, Artificial Intelligence and Computational Theory and Mathematics, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (15 papers), Advanced Chemical Physics Studies (11 papers), Quantum Mechanics and Non-Hermitian Physics (8 papers), Spectral Theory in Mathematical Physics (7 papers), Quantum Information and Cryptography (7 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Quantum Electrodynamics and Casimir Effect (5 papers) and Glass properties and applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (943 citations), Atomic and Molecular Physics, and Optics (800 citations), Civil and Structural Engineering (403 citations), Artificial Intelligence (396 citations) and Numerical Analysis (60 citations). Tova Feldmann has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Ronnie Kosloff, M. Cohen, B. L. Burrows, Peter Salamon, Eitan Geva, A. Treinin, Maurice Cohen, Bjarne Andresen, V. Volterra and Lajos Diósi. Their work appears in journals such as The Journal of Chemical Physics, Chemical Physics Letters, Journal of Physics B Atomic Molecular and Optical Physics, Journal of Statistical Physics and Europhysics Letters (EPL).

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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