Revati Kumar

3.9k total citations · 1 hit paper
78 papers, 3.0k citations indexed

About

Revati Kumar is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Revati Kumar has authored 78 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atomic and Molecular Physics, and Optics, 24 papers in Electrical and Electronic Engineering and 22 papers in Biomedical Engineering. Recurrent topics in Revati Kumar's work include Spectroscopy and Quantum Chemical Studies (26 papers), Advanced Battery Materials and Technologies (14 papers) and Advanced Chemical Physics Studies (12 papers). Revati Kumar is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (26 papers), Advanced Battery Materials and Technologies (14 papers) and Advanced Chemical Physics Studies (12 papers). Revati Kumar collaborates with scholars based in United States, France and Canada. Revati Kumar's co-authors include J. L. Skinner, J. R. Schmidt, Gregory A. Voth, B. Auer, Ryan Jorn, William B. Dobyns, Daniel G. Kuroda, Jyotsna Sudi, Edwin H. Cook and Susan L. Christian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Revati Kumar

77 papers receiving 3.0k citations

Hit Papers

Hydrogen bonding definitions and dynamics in liquid water 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Revati Kumar United States 22 1.1k 599 556 474 466 78 3.0k
Gerhard Schwarz Germany 31 408 0.4× 1.2k 1.9× 255 0.5× 111 0.2× 464 1.0× 117 3.0k
Toru Asahi Japan 39 699 0.6× 790 1.3× 1.1k 2.0× 97 0.2× 870 1.9× 263 5.2k
Christopher D. Jones United States 31 240 0.2× 795 1.3× 349 0.6× 76 0.2× 364 0.8× 115 3.6k
I‐Chun Lin Taiwan 20 586 0.5× 393 0.7× 106 0.2× 52 0.1× 211 0.5× 38 1.8k
Robert C. Dunn United States 29 1.1k 1.0× 774 1.3× 774 1.4× 33 0.1× 1.3k 2.8× 93 3.1k
Philip J. Reid United States 37 1.4k 1.2× 398 0.7× 864 1.6× 41 0.1× 603 1.3× 113 4.0k
Jordi Casanovas Spain 37 556 0.5× 779 1.3× 1.5k 2.8× 29 0.1× 534 1.1× 194 4.4k
Terufumi Fujiwara Japan 22 351 0.3× 160 0.3× 376 0.7× 70 0.1× 257 0.6× 139 1.9k
Songi Han United States 47 1.5k 1.4× 2.1k 3.5× 563 1.0× 51 0.1× 557 1.2× 199 6.7k
Chikashi Nakamura Japan 31 623 0.6× 1.4k 2.3× 568 1.0× 54 0.1× 1.0k 2.2× 152 3.2k

Countries citing papers authored by Revati Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Revati Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Revati Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Revati Kumar. A scholar is included among the top collaborators of Revati Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Revati Kumar. Revati Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Milet, Anne, et al.. (2025). Probing oxidation-controlled proton transfer at the graphene oxide-water interface with deep neural network force fields. Chemical Communications. 61(78). 15223–15226. 1 indexed citations
2.
Olayiwola, Teslim, et al.. (2024). Surfactant-Specific AI-Driven Molecular Design: Integrating Generative Models, Predictive Modeling, and Reinforcement Learning for Tailored Surfactant Synthesis. Industrial & Engineering Chemistry Research. 63(14). 6313–6324. 9 indexed citations
3.
Yang, Bin, et al.. (2024). ACS Spotlight: Bipolar Membranes for Electrochemical Energy Conversion, Chemical Manufacturing, and Separations. ACS Applied Energy Materials. 7(24). 11361–11389. 11 indexed citations
4.
Milet, Anne, et al.. (2024). From Graphene Oxide to Graphene: Changes in Interfacial Water Structure and Reactivity Using Deep Neural Network Force Fields. The Journal of Physical Chemistry C. 128(39). 16437–16453. 5 indexed citations
5.
Zhang, Hanrui, et al.. (2024). Bipolar Membrane Capacitive Deionization for the Selective Capture of Lithium Ions from Brines and Conversion to Lithium Hydroxide. Journal of The Electrochemical Society. 171(10). 103502–103502. 4 indexed citations
6.
Arges, Christopher G., et al.. (2023). Computational Investigations of the Water Structure at the α-Al 2 O 3 (0001)–Water Interface. The Journal of Physical Chemistry C. 127(31). 15600–15610. 7 indexed citations
7.
Σακελλαρίου, Γεώργιος, et al.. (2023). Ion transport on self-assembled block copolymer electrolytes with different side chain chemistries. Materials Advances. 4(3). 965–975. 1 indexed citations
8.
Kumar, Revati, et al.. (2022). Imidazolium-Type Anion Exchange Membranes for Improved Organic Acid Transport and Permselectivity in Electrodialysis. Journal of The Electrochemical Society. 169(4). 43511–43511. 16 indexed citations
9.
McCarley, Robin L., et al.. (2021). Influence of Temperature on Molecular Adsorption and Transport at Liposome Surfaces Studied by Molecular Dynamics Simulations and Second Harmonic Generation Spectroscopy. The Journal of Physical Chemistry B. 125(37). 10506–10513. 15 indexed citations
10.
Li, Ke, et al.. (2021). Effect of anion identity on ion association and dynamics of sodium ions in non-aqueous glyme based electrolytes—OTf vs TFSI. The Journal of Chemical Physics. 154(18). 184505–184505. 19 indexed citations
11.
Kumal, Raju R., et al.. (2019). Molecular Adsorption and Transport at Liposome Surfaces Studied by Molecular Dynamics Simulations and Second Harmonic Generation Spectroscopy. The Journal of Physical Chemistry B. 123(36). 7722–7730. 34 indexed citations
12.
Arges, Christopher G., Ke Li, Le Zhang, et al.. (2019). Ionic conductivity and counterion condensation in nanoconfined polycation and polyanion brushes prepared from block copolymer templates. Molecular Systems Design & Engineering. 4(2). 365–378. 11 indexed citations
13.
Chen, Chen, et al.. (2015). Propensity of Hydrated Excess Protons and Hydroxide Anions for the Air–Water Interface. Journal of the American Chemical Society. 137(39). 12610–12616. 120 indexed citations
14.
Chuntonov, Lev, Revati Kumar, & Daniel G. Kuroda. (2014). Non-linear infrared spectroscopy of the water bending mode: direct experimental evidence of hydration shell reorganization?. Physical Chemistry Chemical Physics. 16(26). 13172–13181. 50 indexed citations
15.
Kumar, Revati & T. Keyes. (2011). The relation between the structure of the first solvation shell and the IR spectra of aqueous solutions. Journal of Biological Physics. 38(1). 75–83. 6 indexed citations
16.
Kumar, Revati, et al.. (2010). Vibrational spectra of aniline in gas phase: An ab-initio study. Material Science Research India. 7(2). 449–455. 1 indexed citations
17.
Kumar, Revati, Jyotsna Sudi, Camille W. Brune, et al.. (2009). A de novo 1p34.2 microdeletion identifies the synaptic vesicle gene RIMS3 as a novel candidate for autism. Journal of Medical Genetics. 47(2). 81–90. 39 indexed citations
18.
Kumar, Revati, Samer Karamohamed, Jyotsna Sudi, et al.. (2007). Recurrent 16p11.2 microdeletions in autism. Human Molecular Genetics. 17(4). 628–638. 487 indexed citations
19.
Kumar, Revati, Stephen Leach, Russell J. Bonaguro, et al.. (2006). Mutation and evolutionary analyses identify NR2E1‐candidate‐regulatory mutations in humans with severe cortical malformations. Genes Brain & Behavior. 6(6). 503–516. 11 indexed citations
20.
Zhao, Yinshan, Revati Kumar, M E Baser, et al.. (2002). Intrafamilial correlation of clinical manifestations in neurofibromatosis 2 (NF2). Genetic Epidemiology. 23(3). 245–259. 18 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026