Venkatesh Botu

1.9k total citations · 1 hit paper
15 papers, 1.5k citations indexed

About

Venkatesh Botu is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Catalysis. According to data from OpenAlex, Venkatesh Botu has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Catalysis. Recurrent topics in Venkatesh Botu's work include Machine Learning in Materials Science (5 papers), Catalytic Processes in Materials Science (5 papers) and Force Microscopy Techniques and Applications (3 papers). Venkatesh Botu is often cited by papers focused on Machine Learning in Materials Science (5 papers), Catalytic Processes in Materials Science (5 papers) and Force Microscopy Techniques and Applications (3 papers). Venkatesh Botu collaborates with scholars based in United States, South Korea and Switzerland. Venkatesh Botu's co-authors include Rampi Ramprasad, James Chapman, Rohit Batra, Wenqiao Song, Steven L. Suib, Ghanshyam Pilania, Anand Chandrasekaran, Zheng Ren, Sibo Wang and Yanbing Guo and has published in prestigious journals such as Angewandte Chemie International Edition, Physical Review B and Advanced Energy Materials.

In The Last Decade

Venkatesh Botu

15 papers receiving 1.5k citations

Hit Papers

Machine Learning Force Fields: Construction, Validation, ... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Venkatesh Botu United States 12 1.1k 367 284 259 193 15 1.5k
Weike Ye United States 10 1.3k 1.2× 461 1.3× 349 1.2× 155 0.6× 83 0.4× 14 1.6k
Arghya Bhowmik Denmark 23 1.0k 0.9× 1.0k 2.8× 130 0.5× 338 1.3× 243 1.3× 73 2.0k
Filippo Federici Canova Japan 18 1.2k 1.1× 561 1.5× 188 0.7× 170 0.7× 127 0.7× 27 1.8k
Alexander Thompson United States 10 2.2k 2.0× 533 1.5× 301 1.1× 156 0.6× 133 0.7× 14 2.7k
Yunxing Zuo China 14 2.1k 1.9× 1.0k 2.8× 434 1.5× 169 0.7× 100 0.5× 26 3.1k
Matthew K. Horton United States 26 1.5k 1.3× 606 1.7× 112 0.4× 165 0.6× 159 0.8× 51 2.1k
Evgeny V. Podryabinkin Russia 13 1.5k 1.3× 330 0.9× 187 0.7× 72 0.3× 43 0.2× 21 1.7k
Cheng Shang China 30 2.4k 2.1× 618 1.7× 291 1.0× 717 2.8× 717 3.7× 89 3.2k
Junkai Xue United States 5 1.8k 1.7× 420 1.1× 214 0.8× 150 0.6× 155 0.8× 5 2.2k
Michael Kocher United States 5 2.6k 2.3× 1.4k 3.9× 230 0.8× 353 1.4× 246 1.3× 7 3.5k

Countries citing papers authored by Venkatesh Botu

Since Specialization
Citations

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

Fields of papers citing papers by Venkatesh Botu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkatesh Botu

This figure shows the co-authorship network connecting the top 25 collaborators of Venkatesh Botu. A scholar is included among the top collaborators of Venkatesh Botu 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 Venkatesh Botu. Venkatesh Botu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Lee, Sung Hoon & Venkatesh Botu. (2022). A high-throughput ab-initio study of diverse glasses: Accuracy of the atomic structure and refractive index. Computational Materials Science. 214. 111765–111765. 3 indexed citations
2.
Botu, Venkatesh, et al.. (2021). Atomic properties of sodium silicate glasses obtained from the building-block method. Physical review. B.. 103(13). 4 indexed citations
3.
Lee, Sung Hoon, et al.. (2019). Enhancement of Adhesion Strength of Perfluoroalkylpolyethers on Rough Glassy Silica for Antismudge Coatings. ACS Applied Polymer Materials. 1(10). 2613–2621. 5 indexed citations
4.
Min, Kyoungmin, Aravind Rammohan, Hyo Sug Lee, et al.. (2017). Computational approaches for investigating interfacial adhesion phenomena of polyimide on silica glass. Scientific Reports. 7(1). 10475–10475. 32 indexed citations
5.
Botu, Venkatesh, James Chapman, & Rampi Ramprasad. (2017). A study of adatom ripening on an Al (1 1 1) surface with machine learning force fields. Computational Materials Science. 129. 332–335. 30 indexed citations
6.
Lee, Sung Hoon, Ross Stewart, Hyunhang Park, et al.. (2017). Effect of Nanoscale Roughness on Adhesion between Glassy Silica and Polyimides: A Molecular Dynamics Study. The Journal of Physical Chemistry C. 121(44). 24648–24656. 23 indexed citations
7.
Mannodi‐Kanakkithodi, Arun, Anand Chandrasekaran, Chiho Kim, et al.. (2017). Scoping the polymer genome: A roadmap for rational polymer dielectrics design and beyond. Materials Today. 21(7). 785–796. 167 indexed citations
8.
Botu, Venkatesh, Rohit Batra, James Chapman, & Rampi Ramprasad. (2016). Machine Learning Force Fields: Construction, Validation, and Outlook. The Journal of Physical Chemistry C. 121(1). 511–522. 376 indexed citations breakdown →
9.
Botu, Venkatesh & Rampi Ramprasad. (2015). Learning scheme to predict atomic forces and accelerate materials simulations. Physical Review B. 92(9). 144 indexed citations
10.
Mosa, Islam M., Sourav Biswas, Abdelhamid M. El‐Sawy, et al.. (2015). Tunable mesoporous manganese oxide for high performance oxygen reduction and evolution reactions. Journal of Materials Chemistry A. 4(2). 620–631. 119 indexed citations
11.
Michalsky, Ronald, Venkatesh Botu, Cory Hargus, Andrew A. Peterson, & Aldo Steinfeld. (2014). Design Principles for Metal Oxide Redox Materials for Solar‐Driven Isothermal Fuel Production. Advanced Energy Materials. 5(7). 1401082–1401082. 46 indexed citations
12.
Ren, Zheng, Venkatesh Botu, Sibo Wang, et al.. (2014). Monolithically Integrated Spinel MxCo3−xO4 (M=Co, Ni, Zn) Nanoarray Catalysts: Scalable Synthesis and Cation Manipulation for Tunable Low‐Temperature CH4 and CO Oxidation. Angewandte Chemie International Edition. 53(28). 7223–7227. 190 indexed citations
13.
Botu, Venkatesh & Rampi Ramprasad. (2014). Adaptive machine learning framework to accelerate ab initio molecular dynamics. International Journal of Quantum Chemistry. 115(16). 1074–1083. 282 indexed citations
14.
Ren, Zheng, Venkatesh Botu, Sibo Wang, et al.. (2014). Monolithically Integrated Spinel MxCo3−xO4 (M=Co, Ni, Zn) Nanoarray Catalysts: Scalable Synthesis and Cation Manipulation for Tunable Low‐Temperature CH4 and CO Oxidation. Angewandte Chemie. 126(28). 7351–7355. 30 indexed citations
15.
Botu, Venkatesh, Rampi Ramprasad, & Ashish B. Mhadeshwar. (2013). Ceria in an oxygen environment: Surface phase equilibria and its descriptors. Surface Science. 619. 49–58. 28 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.

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