Dilip Krishnamurthy

975 total citations
17 papers, 768 citations indexed

About

Dilip Krishnamurthy is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Dilip Krishnamurthy has authored 17 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Renewable Energy, Sustainability and the Environment, 8 papers in Electrical and Electronic Engineering and 8 papers in Materials Chemistry. Recurrent topics in Dilip Krishnamurthy's work include Electrocatalysts for Energy Conversion (9 papers), Advancements in Battery Materials (6 papers) and Machine Learning in Materials Science (5 papers). Dilip Krishnamurthy is often cited by papers focused on Electrocatalysts for Energy Conversion (9 papers), Advancements in Battery Materials (6 papers) and Machine Learning in Materials Science (5 papers). Dilip Krishnamurthy collaborates with scholars based in United States and Denmark. Dilip Krishnamurthy's co-authors include Venkatasubramanian Viswanathan, Karthish Manthiram, Nikifar Lazouski, Michal L. Gala, Yogesh Surendranath, Siddharth Deshpande, Bing Yan, Christopher H. Hendon, Vikram Pande and Tzahi Cohen‐Karni and has published in prestigious journals such as The Journal of Chemical Physics, Journal of The Electrochemical Society and Langmuir.

In The Last Decade

Dilip Krishnamurthy

17 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dilip Krishnamurthy United States 12 487 456 287 173 129 17 768
Cehuang Fu China 20 1.1k 2.2× 854 1.9× 446 1.6× 186 1.1× 143 1.1× 37 1.3k
Jinxiang Diao China 12 758 1.6× 588 1.3× 255 0.9× 129 0.7× 80 0.6× 23 893
Yangge Guo China 14 446 0.9× 313 0.7× 254 0.9× 134 0.8× 59 0.5× 28 572
Hansol Choi South Korea 9 408 0.8× 284 0.6× 177 0.6× 158 0.9× 136 1.1× 16 624
K. Fang China 6 258 0.5× 348 0.8× 166 0.6× 123 0.7× 62 0.5× 9 550
Katherine Steinberg United States 8 127 0.3× 264 0.6× 150 0.5× 193 1.1× 33 0.3× 15 505
Huanhuan Wang China 7 377 0.8× 297 0.7× 186 0.6× 174 1.0× 31 0.2× 13 650
Xiaokang Chen China 12 456 0.9× 444 1.0× 180 0.6× 80 0.5× 73 0.6× 45 720
Xu Hu China 11 694 1.4× 475 1.0× 430 1.5× 191 1.1× 82 0.6× 20 946
Denis Johnson United States 14 347 0.7× 227 0.5× 364 1.3× 141 0.8× 24 0.2× 24 621

Countries citing papers authored by Dilip Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Dilip Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilip Krishnamurthy

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

All Works

17 of 17 papers shown
1.
Kaur, Manjodh, Stephen D. House, Lance Kavalsky, et al.. (2023). Reversible alkaline hydrogen evolution and oxidation reactions using Ni–Mo catalysts supported on carbon. Energy Advances. 2(9). 1500–1511. 4 indexed citations
2.
Lazouski, Nikifar, Katherine Steinberg, Michal L. Gala, et al.. (2022). Proton Donors Induce a Differential Transport Effect for Selectivity toward Ammonia in Lithium-Mediated Nitrogen Reduction. ACS Catalysis. 12(9). 5197–5208. 83 indexed citations
3.
Mohan, Arvind, Dilip Krishnamurthy, Christopher Rackauckas, et al.. (2022). Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow. Physics of Fluids. 34(11). 5 indexed citations
4.
Krishnamurthy, Dilip, Nikifar Lazouski, Michal L. Gala, Karthish Manthiram, & Venkatasubramanian Viswanathan. (2021). Closed-Loop Electrolyte Design for Lithium-Mediated Ammonia Synthesis. ACS Central Science. 7(12). 2073–2082. 50 indexed citations
5.
Krishnamurthy, Dilip, Raghav Garg, Hasnain Hafiz, et al.. (2020). Engineering Three-Dimensional (3D) Out-of-Plane Graphene Edge Sites for Highly Selective Two-Electron Oxygen Reduction Electrocatalysis. ACS Catalysis. 10(3). 1993–2008. 148 indexed citations
6.
Krishnamurthy, Dilip, et al.. (2020). Engineering Solid Electrolyte Interphase Composition by Assessing Decomposition Pathways of Fluorinated Organic Solvents in Lithium Metal Batteries. Journal of The Electrochemical Society. 167(7). 70554–70554. 39 indexed citations
7.
Bai, Feng, Hongyou Fan, Dilip Krishnamurthy, et al.. (2019). MRS volume 44 issue 3 Cover and Front matter. MRS Bulletin. 44(3). f1–f6. 1 indexed citations
8.
Krishnamurthy, Dilip, et al.. (2019). The role of uncertainty quantification and propagation in accelerating the discovery of electrochemical functional materials. MRS Bulletin. 44(3). 204–212. 3 indexed citations
9.
Krishnamurthy, Dilip, et al.. (2018). Quantifying Confidence in DFT Predicted Surface Pourbaix Diagrams and Associated Reaction Pathways for Chlorine Evolution. ACS Catalysis. 8(10). 9034–9042. 85 indexed citations
10.
Khetan, Abhishek, Dilip Krishnamurthy, & Venkatasubramanian Viswanathan. (2018). Towards Synergistic Electrode–Electrolyte Design Principles for Nonaqueous Li–O$$_2$$ batteries. Topics in Current Chemistry. 376(2). 11–11. 6 indexed citations
11.
Krishnamurthy, Dilip, et al.. (2018). Maximal Predictability Approach for Identifying the Right Descriptors for Electrocatalytic Reactions. The Journal of Physical Chemistry Letters. 9(3). 588–595. 47 indexed citations
12.
Krishnamurthy, Dilip, et al.. (2018). Quantifying Confidence in DFT-Predicted Surface Pourbaix Diagrams of Transition-Metal Electrode–Electrolyte Interfaces. Langmuir. 34(41). 12259–12269. 73 indexed citations
13.
Krishnamurthy, Dilip, Hasso Weiland, Amir Barati Farimani, et al.. (2018). Machine Learning Based Approaches to Accelerate Energy Materials Discovery and Optimization. ACS Energy Letters. 4(1). 187–191. 30 indexed citations
14.
Krishnamurthy, Dilip, et al.. (2018). Quantifying robustness of DFT predicted pathways and activity determining elementary steps for electrochemical reactions. The Journal of Chemical Physics. 150(4). 19 indexed citations
15.
Lee, Andrew, Dilip Krishnamurthy, & Venkatasubramanian Viswanathan. (2018). Exploring MXenes as Cathodes for Non‐Aqueous Lithium–Oxygen Batteries: Design Rules for Selectively Nucleating Li2O2. ChemSusChem. 11(12). 1911–1918. 27 indexed citations
16.
Yan, Bing, Dilip Krishnamurthy, Christopher H. Hendon, et al.. (2017). Surface Restructuring of Nickel Sulfide Generates Optimally Coordinated Active Sites for Oxygen Reduction Catalysis. Joule. 1(3). 600–612. 112 indexed citations
17.
Krishnamurthy, Dilip, Heine Anton Hansen, & Venkatasubramanian Viswanathan. (2016). Universality in Nonaqueous Alkali Oxygen Reduction on Metal Surfaces: Implications for Li–O2 and Na–O2 Batteries. ACS Energy Letters. 1(1). 162–168. 36 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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