Anil Damle

651 citations
19 papers · 280 · h-index 9

Impact in

Papers in

Anil Damle

18 papers receiving 272 citations

Peers

Anil Damle
Comparison fields: 5 of 78
  • Computational Mathematics 3
  • Atomic and Molecular Physics, and Optics 126
  • Condensed Matter Physics 37
  • Materials Chemistry 93
  • Geometry and Topology 14
Replace Russell Stutz with:
Russell Stutz United States
P. Staszewski Poland
Zu‐Jian Ying China
Ondřej Čertı́k United States
Swapan Mandal India
Stephen B. Haley United States
Omar Morandi France
Larry Chen United States
Xinfang Nie China
Isabelle Catto France
Anil Damle relative to Russell Stutz United States Russell Stutz's profile →
Citations per field
00.5×9.3×
Russell Stutz · 1×
Citations per year

Countries citing papers authored by Anil Damle

Since Specialization
Citations

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

Fields of papers citing papers by Anil Damle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Anil Damle, 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 Anil Damle Line = papers co-authored together Anil Damle links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201581
2 201745
3 201836
4 201834
5 201617
6 201912
7 201711
8 202210
9 20108
10 20164
11 20254
12 20044
13 20124
14 20203
15 20142
16 20112
17 20232
18 20201
19 20240

About Anil Damle

Anil Damle is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 280 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (6 papers), Surface and Thin Film Phenomena (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Image and Signal Denoising Methods (2 papers), Complex Network Analysis Techniques (2 papers), Machine Learning in Materials Science (2 papers), Random Matrices and Applications (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Computational Mathematics (3 citations), Atomic and Molecular Physics, and Optics (126 citations), Condensed Matter Physics (37 citations), Materials Chemistry (93 citations) and Geometry and Topology (14 citations). Anil Damle has collaborated with scholars based in United States, India and France. Frequent co-authors include Lin Lin, Lexing Ying, Yuekai Sun, Anne M. Dougherty, Lin Lin, Antoine Levitt, Fabio Badilini, Dilip R. Karnad, Gopi Krishna Panicker and Snehal Kothari. Their work appears in journals such as SIAM Journal on Scientific Computing, Multiscale Modeling and Simulation, Journal of Chemical Theory and Computation, Journal of Computational Physics and International Journal of Forecasting.

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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