Diptendu Roy

485 total citations
24 papers, 391 citations indexed

About

Diptendu Roy is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Diptendu Roy has authored 24 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 13 papers in Renewable Energy, Sustainability and the Environment and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Diptendu Roy's work include Machine Learning in Materials Science (10 papers), Electrocatalysts for Energy Conversion (7 papers) and CO2 Reduction Techniques and Catalysts (7 papers). Diptendu Roy is often cited by papers focused on Machine Learning in Materials Science (10 papers), Electrocatalysts for Energy Conversion (7 papers) and CO2 Reduction Techniques and Catalysts (7 papers). Diptendu Roy collaborates with scholars based in India, Japan and United States. Diptendu Roy's co-authors include Biswarup Pathak, Shyama Charan Mandal, A. Das, Sandeep Das, Akhil S. Nair, Manikoth M. Shaijumon, Sukhendu Mandal, Surya Sekhar Manna, Sayantani Dutta and Venkatesh Chelvam and has published in prestigious journals such as Angewandte Chemie International Edition, Coordination Chemistry Reviews and ACS Applied Materials & Interfaces.

In The Last Decade

Diptendu Roy

22 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diptendu Roy India 10 256 209 105 88 66 24 391
Fu-li Sun China 12 267 1.0× 263 1.3× 90 0.9× 106 1.2× 28 0.4× 24 378
Seung‐hoon Kim South Korea 13 179 0.7× 331 1.6× 126 1.2× 260 3.0× 52 0.8× 24 514
Shengkun Liu China 9 337 1.3× 249 1.2× 95 0.9× 67 0.8× 34 0.5× 11 445
Joonbaek Jang United States 12 310 1.2× 318 1.5× 258 2.5× 98 1.1× 47 0.7× 18 507
Vladislav A. Mints Switzerland 7 207 0.8× 604 2.9× 272 2.6× 235 2.7× 48 0.7× 8 700
Abhinav Mohan Canada 7 222 0.9× 265 1.3× 85 0.8× 60 0.7× 31 0.5× 10 355
Tangsheng Zou Switzerland 9 321 1.3× 139 0.7× 314 3.0× 40 0.5× 51 0.8× 15 439
Fangping Xu China 9 151 0.6× 353 1.7× 84 0.8× 179 2.0× 40 0.6× 10 420
Ruicheng Bao China 5 203 0.8× 502 2.4× 212 2.0× 202 2.3× 39 0.6× 9 567
Xiancheng Song China 6 189 0.7× 383 1.8× 63 0.6× 214 2.4× 22 0.3× 14 467

Countries citing papers authored by Diptendu Roy

Since Specialization
Citations

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

Fields of papers citing papers by Diptendu Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diptendu Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Diptendu Roy. A scholar is included among the top collaborators of Diptendu Roy 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 Diptendu Roy. Diptendu Roy 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.
Roy, Diptendu, et al.. (2025). Stable Dimer Intermediates during Intercluster Reactions of Atomically Precise Nanoclusters. The Journal of Physical Chemistry C. 129(12). 5840–5850.
2.
Roy, Diptendu, et al.. (2025). Mining Chemical Space with Generative Models for Battery Materials. Batteries & Supercaps. 9(1). 1 indexed citations
3.
Karmakar, Arun, Sayantani Dutta, Diptendu Roy, et al.. (2024). Metal‐Free Electrocatalytic Alkaline Water Splitting by Porous Macrocyclic Proton Sponges. Angewandte Chemie International Edition. 64(7). e202419377–e202419377. 7 indexed citations
4.
Manna, Surya Sekhar, et al.. (2024). Unlocking the efficiency of nonaqueous Li–air batteries through the synergistic effect of dual metal site catalysts: an interpretable machine learning approach. Journal of Materials Chemistry A. 12(25). 15115–15126. 4 indexed citations
5.
Karmakar, Arun, Sayantani Dutta, Diptendu Roy, et al.. (2024). Metal‐Free Electrocatalytic Alkaline Water Splitting by Porous Macrocyclic Proton Sponges. Angewandte Chemie. 137(7).
6.
Das, A., Diptendu Roy, Shyama Charan Mandal, & Biswarup Pathak. (2024). Machine learning-based screening of Mn-PNP catalysts for the CO2 reduction reaction using a region-wise ligand-encoded feature matrix. Energy Advances. 3(4). 854–860. 5 indexed citations
7.
Roy, Diptendu, et al.. (2024). Machine Learning-Enhanced Screening of Single-Atom Alloy Clusters for Nitrogen Reduction Reaction. ACS Applied Materials & Interfaces. 16(43). 58648–58656. 2 indexed citations
8.
Roy, Diptendu, A. Das, & Biswarup Pathak. (2024). Conformal active learning-aided screening of ligand-protected Cu-nanoclusters for CO2 reduction reactions. Journal of Materials Chemistry A. 12(42). 29022–29032. 2 indexed citations
9.
Roy, Diptendu, Shyama Charan Mandal, A. Das, & Biswarup Pathak. (2023). Unravelling CO2 Reduction Reaction Intermediates on High Entropy Alloy Catalysts: An Interpretable Machine Learning Approach to Establish Scaling Relations. Chemistry - A European Journal. 30(6). e202302679–e202302679. 8 indexed citations
10.
Roy, Diptendu, et al.. (2023). Machine learning-driven prediction of band-alignment types in 2D hybrid perovskites. Journal of Materials Chemistry A. 11(43). 23547–23555. 6 indexed citations
11.
Mandal, Shyama Charan, et al.. (2023). Energy level alignments between organic and inorganic layers in 2D layered perovskites: conjugation vs. substituent. Nanoscale. 15(17). 7962–7970. 4 indexed citations
12.
Roy, Diptendu, et al.. (2023). Artificially Intelligent Nanogap for Rapid DNA Sequencing: A Machine Learning Aided Quantum Tunneling Approach. ACS Materials Letters. 5(9). 2488–2498. 7 indexed citations
13.
Roy, Diptendu, et al.. (2023). A Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction. The Journal of Physical Chemistry C. 127(2). 871–881. 18 indexed citations
14.
Mandal, Shyama Charan, A. Das, Diptendu Roy, et al.. (2022). Developments of the heterogeneous and homogeneous CO2 hydrogenation to value-added C2+-based hydrocarbons and oxygenated products. Coordination Chemistry Reviews. 471. 214737–214737. 35 indexed citations
15.
Roy, Diptendu, et al.. (2022). Machine Learning Aided Interpretable Approach for Single Nucleotide-Based DNA Sequencing using a Model Nanopore. The Journal of Physical Chemistry Letters. 13(50). 11818–11830. 10 indexed citations
16.
Roy, Diptendu, Shyama Charan Mandal, & Biswarup Pathak. (2022). Machine Learning Assisted Exploration of High Entropy Alloy-Based Catalysts for Selective CO2 Reduction to Methanol. The Journal of Physical Chemistry Letters. 13(25). 5991–6002. 83 indexed citations
17.
Roy, Diptendu, et al.. (2022). Capacity prediction of K-ion batteries: a machine learning based approach for high throughput screening of electrode materials. Materials Advances. 3(21). 7833–7845. 18 indexed citations
18.
Roy, Diptendu, et al.. (2022). Rational Designing of Bimetallic/Trimetallic Hydrogen Evolution Reaction Catalysts Using Supervised Machine Learning. The Journal of Physical Chemistry Letters. 13(32). 7583–7593. 41 indexed citations
19.
Roy, Diptendu, et al.. (2021). Synthesis of 1-indolyl-3,5,8-substituted γ-carbolines: one-pot solvent-free protocol and biological evaluation. Beilstein Journal of Organic Chemistry. 17. 1453–1463. 4 indexed citations
20.
Roy, Diptendu, Shyama Charan Mandal, & Biswarup Pathak. (2021). Machine Learning-Driven High-Throughput Screening of Alloy-Based Catalysts for Selective CO2 Hydrogenation to Methanol. ACS Applied Materials & Interfaces. 13(47). 56151–56163. 89 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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