David E. Lerner

19 papers receiving 315 citations

Peers

David E. Lerner
Comparison fields: 5 of 67
  • Statistical and Nonlinear Physics 122
  • Nuclear and High Energy Physics 71
  • Cognitive Neuroscience 96
  • Astronomy and Astrophysics 79
  • Sensory Systems 20
Replace R. A. James with:
R. A. James United Kingdom
Jacob Levitan Israel
David Saunders United Kingdom
Garrett J. Stuck United States
Ángel Giménez Spain
Victor G. LeBlanc Canada
Claudio Bonanno Italy
Rob Sturman United Kingdom
M. Ravani Switzerland
Giuseppe Genovese Switzerland
David E. Lerner relative to R. A. James United Kingdom R. A. James's profile →
Citations per field
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Citations per year

Countries citing papers authored by David E. Lerner

Since Specialization
Citations

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

Fields of papers citing papers by David E. Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside David E. Lerner, 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 David E. Lerner Line = papers co-authored together David E. Lerner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199683
2 199866
3
Complex manifold techniques in theoretical physics
197956
4 199927
5 197324
6 200414
7 197813
8 197811
9 20038
10 19745
11 20005
12 19774
13 20054
14 19744
15 19924
16 20083
17 19793
18 19772
19 20002
20 19901

About David E. Lerner

David E. Lerner is a scholar working on Statistical and Nonlinear Physics, Nuclear and High Energy Physics, Astronomy and Astrophysics, Mathematical Physics and Cognitive Neuroscience, having authored 20 papers that have together received 339 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (7 papers), Cosmology and Gravitation Theories (5 papers), Nonlinear Waves and Solitons (3 papers), Chaos control and synchronization (3 papers), Geophysics and Gravity Measurements (3 papers), Advanced Differential Geometry Research (3 papers), Hearing Loss and Rehabilitation (3 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (122 citations), Nuclear and High Energy Physics (71 citations), Cognitive Neuroscience (96 citations), Astronomy and Astrophysics (79 citations) and Sensory Systems (20 citations). David E. Lerner has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Ying-Cheng Lai, Paul Sommers, W. D. Curtis, Celso Grebogi, Kaj E. Williams, Ying-Cheng Lai, Forrest R. Miller, John R. Porter, Mark E. Chertoff and Chul-Hee Choi. Their work appears in journals such as Communications in Mathematical Physics, Physica D Nonlinear Phenomena, Hearing Research, Journal of Geometry and Physics and IEEE Transactions on Geoscience and Remote Sensing.

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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