Abhinav Verma

819 citations
32 papers · 612 indexed · h-index 13

Impact in

Papers in

Abhinav Verma

29 papers receiving 585 citations

Peers

Abhinav Verma
Comparison fields: 5 of 94
  • Structural Biology 8
  • Molecular Biology 389
  • Materials Chemistry 238
  • Safety, Risk, Reliability and Quality 41
  • Spectroscopy 49
Replace Abhinav Jain with:
Abhinav Jain United States
Qiang Lu China
Jing Yan United States
Seongok Ryu South Korea
Jonas Köhler Germany
C. Edge United Kingdom
K. J. Harrison Australia
C. Martı́n Spain
Ramachandran Gnanasekaran United States
Yu-Hong Tan United States
Abhinav Verma relative to Abhinav Jain United States Abhinav Jain's profile →
Citations per field
00.5×6.8×
Abhinav Jain · 1×
Citations per year

Countries citing papers authored by Abhinav Verma

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20201
2 20149
3 201325
4 20131
5 201330
6 201210
7 20111
8 2010124
9
Power grid security analysis: an optimization approach
201030
10 200920
11 20081
12 20079
13 200719
14 20071
15 20071
16 20078
17 200661
18 200536
19 200513
20 199611

About Abhinav Verma

Abhinav Verma is a scholar working on Materials Chemistry, Molecular Biology, Fluid Flow and Transfer Processes, Biochemistry and Spectroscopy, having authored 32 papers that have together received 612 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (25 papers), Enzyme Structure and Function (19 papers), RNA and protein synthesis mechanisms (12 papers), Advanced Chemical Physics Studies (2 papers), Bacteriophages and microbial interactions (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Optimal Power Flow Distribution (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Structural Biology (8 citations), Molecular Biology (389 citations), Materials Chemistry (238 citations), Safety, Risk, Reliability and Quality (41 citations) and Spectroscopy (49 citations). Abhinav Verma has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Daniel Bienstock, Wolfgang Wenzel, Alexander Schug, Kwan H. Lee, Benjamin Lutz, Magnus Wolf‐Watz, Eva de Alba, Jörgen Ådén, Víctor Muñoz and Lorenzo Sborgi. Their work appears in journals such as The Journal of Chemical Physics, Journal of the American Chemical Society, Journal of Physics Condensed Matter, Biophysical Journal and Biochemistry.

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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