Srinivas Rangarajan

1.6k total citations
63 papers, 1.2k citations indexed

About

Srinivas Rangarajan is a scholar working on Materials Chemistry, Catalysis and Mechanical Engineering. According to data from OpenAlex, Srinivas Rangarajan has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Materials Chemistry, 21 papers in Catalysis and 15 papers in Mechanical Engineering. Recurrent topics in Srinivas Rangarajan's work include Catalytic Processes in Materials Science (23 papers), Machine Learning in Materials Science (19 papers) and Catalysis and Oxidation Reactions (15 papers). Srinivas Rangarajan is often cited by papers focused on Catalytic Processes in Materials Science (23 papers), Machine Learning in Materials Science (19 papers) and Catalysis and Oxidation Reactions (15 papers). Srinivas Rangarajan collaborates with scholars based in United States, China and United Arab Emirates. Srinivas Rangarajan's co-authors include Manos Mavrikakis, Huijie Tian, Tiancheng Pu, Israel E. Wachs, Michael E. Ford, Saurabh Bhandari, Christos T. Maravelias, Jonas Baltrušaitis, Lohit Sharma and Ian Hill and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Srinivas Rangarajan

58 papers receiving 1.2k citations

Peers

Srinivas Rangarajan

CATAL

RESE

Aditya Savara United States

Christoph Kern Germany

Nikolay Cherkasov United Kingdom

Marco Martino Italy

Д. И. Потемкин Russia

Jillian M. Thompson United Kingdom

Ke‐Jun Wu China

Omar Abdelrahman United States

Ali M. Bahmanpour Iran

Lesław Mleczko Germany

Aditya Savara United States

Srinivas Rangarajan

1.3k ×1.6

691 ×1.6

CATAL

273 ×0.7

347 ×1.1

RESE

158 ×0.7

Citations per year, relative to Srinivas Rangarajan Srinivas Rangarajan (= 1×) peers Aditya Savara

Countries citing papers authored by Srinivas Rangarajan

Since Specialization

Citations

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

Fields of papers citing papers by Srinivas Rangarajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivas Rangarajan

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

All Works

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20 of 20 papers shown

Rangarajan, Srinivas, et al.. (2025). Ab initio elucidation of PTCDA intercalation mechanism in MoS2 bilayer. npj 2D Materials and Applications. 9(1).

Pu, Tiancheng, et al.. (2025). Progress and perspective on the fundamental understanding of structure–activity/selectivity relationships for Ag catalyzed ethylene epoxidation. Catalysis Today. 455. 115301–115301. 1 indexed citations

Rangarajan, Srinivas, et al.. (2025). An event-based neural partial differential equation model of heat and mass transport in an industrial drying oven. Computers & Chemical Engineering. 200. 109171–109171.

Sadula, Sunitha, et al.. (2024). Sustainable Aviation Fuel Molecules from (Hemi)Cellulose: Computational Insights into Synthesis Routes, Fuel Properties, and Process Chemistry Metrics. ACS Sustainable Chemistry & Engineering. 12(34). 12927–12937. 3 indexed citations

Pu, Tiancheng, et al.. (2024). Expanding the Reaction Network of Ethylene Epoxidation on Partially Oxidized Silver Catalysts. ACS Catalysis. 14(23). 17880–17892. 6 indexed citations

Siderius, Daniel W., et al.. (2024). Elucidating Thermodynamically Driven Structure–Property Relations for Zeolite Adsorption Using Neural Networks. SHILAP Revista de lepidopterología. 4(12). 4673–4690. 5 indexed citations

Rangarajan, Srinivas, et al.. (2024). Tandem Methanolysis and Catalytic Transfer Hydrogenolysis of Polyethylene Terephthalate to p‐Xylene Over Cu/ZnZrO _x Catalysts. Angewandte Chemie. 137(4).

Daoutidis, Pródromos, Jay H. Lee, Srinivas Rangarajan, et al.. (2023). Machine learning in process systems engineering: Challenges and opportunities. Computers & Chemical Engineering. 181. 108523–108523. 47 indexed citations

Tian, Qin, et al.. (2023). Actively Learned Optimal Sustainable Operation of Plasma-Catalyzed Methane Bireforming on La_0.7Ce_0.3NiO₃ Perovskite Catalyst. ACS Sustainable Chemistry & Engineering. 12(1). 610–622. 6 indexed citations

10.

Pu, Tiancheng, Alexandre C. Foucher, Mingyu Guo, et al.. (2023). Revealing the Nature of Active Oxygen Species and Reaction Mechanism of Ethylene Epoxidation by Supported Ag/α-Al₂O₃ Catalysts. ACS Catalysis. 14(1). 406–417. 20 indexed citations

11.

Pu, Tiancheng, Jih‐Mirn Jehng, Bar Mosevitzky Lis, et al.. (2022). Resolving the Oxygen Species on Ozone Activated AgAu Alloy Catalysts for Oxidative Methanol Coupling. The Journal of Physical Chemistry C. 126(51). 21568–21575. 3 indexed citations

12.

Pu, Tiancheng, Bar Mosevitzky Lis, Minghui Zhu, et al.. (2022). Nature and Reactivity of Oxygen Species on/in Silver Catalysts during Ethylene Oxidation. ACS Catalysis. 12(8). 4375–4381. 41 indexed citations

13.

Rangarajan, Srinivas, et al.. (2022). A deep neural network for oxidative coupling of methane trained on high-throughput experimental data. Journal of Physics Energy. 5(1). 14009–14009. 4 indexed citations

14.

Sharma, Lohit, Xiao Jiang, Zili Wu, et al.. (2021). Atomically Dispersed Tin-Modified γ-alumina for Selective Propane Dehydrogenation under H₂S Co-feed. ACS Catalysis. 11(21). 13472–13482. 12 indexed citations

15.

Sharma, Lohit, Stephen C. Purdy, Katharine Page, et al.. (2021). Sulfur Tolerant Subnanometer Fe/Alumina Catalysts for Propane Dehydrogenation. ACS Applied Nano Materials. 4(10). 10055–10067. 18 indexed citations

16.

Salazar, Norberto, Srinivas Rangarajan, Jonathan Rodríguez‐Fernández, Manos Mavrikakis, & Jeppe V. Lauritsen. (2020). Site-dependent reactivity of MoS2 nanoparticles in hydrodesulfurization of thiophene. Nature Communications. 11(1). 4369–4369. 64 indexed citations

17.

Sharma, Lohit, Xiao Jiang, Zili Wu, et al.. (2020). Elucidating the origin of selective dehydrogenation of propane on γ-alumina under H2S treatment and co-feed. Journal of Catalysis. 394. 142–156. 24 indexed citations

18.

Sharma, Lohit, et al.. (2019). Inhibitor, Co-Catalyst, or Co-Reactant? Probing the Different Roles of H₂S during CO₂ Hydrogenation on the MoS₂ Catalyst. ACS Catalysis. 9(11). 10044–10059. 29 indexed citations

19.

Yeh, Yu‐Hao, et al.. (2019). Influence of brønsted-acid and cation-exchange sites on ethene adsorption in ZSM-5. Microporous and Mesoporous Materials. 284. 336–342. 8 indexed citations

20.

Pu, Tiancheng, Huijie Tian, Michael E. Ford, Srinivas Rangarajan, & Israel E. Wachs. (2019). Overview of Selective Oxidation of Ethylene to Ethylene Oxide by Ag Catalysts. ACS Catalysis. 9(12). 10727–10750. 164 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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