Vikram Gavini

2.4k citations
59 papers · 1.6k · h-index 22

Impact in

Papers in

Vikram Gavini

58 papers receiving 1.6k citations

Peers

Vikram Gavini
Comparison fields: 5 of 88
  • Computational Mathematics 25
  • Atomic and Molecular Physics, and Optics 679
  • Materials Chemistry 817
  • Condensed Matter Physics 178
  • Metals and Alloys 28
Replace Thierry Deutsch with:
Thierry Deutsch France
Damien Caliste France
S. Alireza Ghasemi Switzerland
Godehard Sutmann Germany
John E. Pask United States
R. W. Nunes Brazil
Franz Gähler Germany
David A. Strubbe United States
Anders Bergman Sweden
M. J. Rayson United Kingdom
Vikram Gavini relative to Thierry Deutsch France Thierry Deutsch's profile →
Citations per field
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Thierry Deutsch · 1×
Citations per year

Countries citing papers authored by Vikram Gavini

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Gavini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011158
2 2020128
3 2013100
4 200799
5 201998
6 200995
7 201981
8 202059
9 200657
10 201252
11 200750
12 201244
13 201936
14 201434
15 201732
16 201226
17 202325
18 201024
19 201024
20 202324

About Vikram Gavini

Vikram Gavini is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Electrical and Electronic Engineering, Condensed Matter Physics and Spectroscopy, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (24 papers), Microstructure and mechanical properties (10 papers), Advanced NMR Techniques and Applications (8 papers), Molecular Junctions and Nanostructures (8 papers), Physics of Superconductivity and Magnetism (7 papers), Machine Learning in Materials Science (7 papers), Quantum and electron transport phenomena (5 papers) and Semiconductor materials and devices (5 papers). The work is most often cited by research in Computational Mathematics (25 citations), Atomic and Molecular Physics, and Optics (679 citations), Materials Chemistry (817 citations), Condensed Matter Physics (178 citations) and Metals and Alloys (28 citations). Vikram Gavini has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Phani Motamarri, Kaushik Bhattacharya, M. Ortíz, Pramod Reddy, Sambit Das, Janakiraman Balachandran, Barry D. Dunietz, Jaroslaw Knap, Paul M. Zimmerman and Sung‐Yeon Jang. Their work appears in journals such as Journal of the Mechanics and Physics of Solids, Physical review. B., Journal of Computational Physics, The Journal of Physical Chemistry Letters and Physical Review B.

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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