Rahul Patidar

1.2k total citations
17 papers, 701 citations indexed

About

Rahul Patidar is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Rahul Patidar has authored 17 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 10 papers in Polymers and Plastics and 6 papers in Materials Chemistry. Recurrent topics in Rahul Patidar's work include Perovskite Materials and Applications (15 papers), Conducting polymers and applications (10 papers) and Quantum Dots Synthesis And Properties (6 papers). Rahul Patidar is often cited by papers focused on Perovskite Materials and Applications (15 papers), Conducting polymers and applications (10 papers) and Quantum Dots Synthesis And Properties (6 papers). Rahul Patidar collaborates with scholars based in United Kingdom, Singapore and United States. Rahul Patidar's co-authors include Trystan Watson, Katherine Hooper, Daniel Burkitt, David Richards, Sudhanshu Shukla, Zareen Akhter, Annalisa Bruno, Amna Bashir, David Beynon and Matthew L. Davies and has published in prestigious journals such as Advanced Materials, The Journal of Physical Chemistry C and Journal of Materials Chemistry A.

In The Last Decade

Rahul Patidar

17 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Patidar United Kingdom 11 637 396 302 33 26 17 701
Simone Meroni United Kingdom 16 691 1.1× 391 1.0× 352 1.2× 44 1.3× 30 1.2× 26 749
Sang Hyeon Kim South Korea 14 470 0.7× 198 0.5× 262 0.9× 84 2.5× 74 2.8× 18 553
Jignasa V. Gohel India 15 435 0.7× 297 0.8× 191 0.6× 55 1.7× 19 0.7× 31 513
Muhammad Jahandar South Korea 14 514 0.8× 200 0.5× 319 1.1× 36 1.1× 55 2.1× 28 580
Jianchao Yang China 9 339 0.5× 224 0.6× 177 0.6× 27 0.8× 29 1.1× 12 411
Arvid P.L. Böttiger Denmark 8 556 0.9× 142 0.4× 383 1.3× 33 1.0× 106 4.1× 8 604
Dong Geon Lee South Korea 15 663 1.0× 451 1.1× 315 1.0× 76 2.3× 31 1.2× 27 736
Huijie Tang China 8 337 0.5× 318 0.8× 125 0.4× 111 3.4× 15 0.6× 11 481
Ruijia Tian China 15 403 0.6× 203 0.5× 228 0.8× 16 0.5× 50 1.9× 25 567
Hou‐Chin Cha Taiwan 13 460 0.7× 105 0.3× 192 0.6× 140 4.2× 61 2.3× 32 492

Countries citing papers authored by Rahul Patidar

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Patidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Patidar

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Patidar. A scholar is included among the top collaborators of Rahul Patidar 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 Rahul Patidar. Rahul Patidar 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.
Patidar, Rahul, James McGettrick, Trystan Watson, et al.. (2025). Enhancing the stability of inverted perovskite solar cells through Cu2ZnSnS4 nanoparticles hole transporting material. Sustainable Energy & Fuels. 9(6). 1486–1497. 1 indexed citations
2.
Patidar, Rahul, et al.. (2025). Roll-to-roll slot-die coating of PTAA with PEDOT:PSS buffer layer for perovskite solar cells: coating analysis by XPS mapping. Journal of Materials Chemistry A. 13(20). 14957–14963. 5 indexed citations
3.
Thomas, Suzanne, Rahul Patidar, Rodrigo García‐Rodríguez, et al.. (2024). Empirical Study of a Polymer-in-Perovskite Precursor: Correlation of the Morphological Changes to the Optoelectronics. ACS Applied Energy Materials. 7(14). 5595–5607. 3 indexed citations
4.
Fu, Yúang, Bhushan Ramesh Patil, Rahul Patidar, et al.. (2024). Pathways to Upscaling Highly Efficient Organic Solar Cells Using Green Solvents: A Study on Device Photophysics in the Transition from Lab‐to‐Fab. Advanced Science. 11(31). e2402637–e2402637. 9 indexed citations
5.
Beynon, David, Rahul Patidar, James McGettrick, et al.. (2024). Selecting non-halogenated low-toxic hole transporting materials for Roll-to-Roll perovskite solar cells using carbon electrodes. Communications Materials. 5(1). 11 indexed citations
6.
Beynon, David, Katherine Hooper, James McGettrick, et al.. (2023). All‐Printed Roll‐to‐Roll Perovskite Photovoltaics Enabled by Solution‐Processed Carbon Electrode. Advanced Materials. 35(16). e2208561–e2208561. 74 indexed citations
7.
Richards, David, Daniel Burkitt, Rahul Patidar, David Beynon, & Trystan Watson. (2022). Predicting a process window for the roll-to-roll deposition of solvent-engineered SnO2 in perovskite solar cells. Materials Advances. 3(23). 8588–8596. 17 indexed citations
8.
Swartwout, Richard, Rahul Patidar, Benjia Dou, et al.. (2022). Predicting Low Toxicity and Scalable Solvent Systems for High‐Speed Roll‐to‐Roll Perovskite Manufacturing. Solar RRL. 6(3). 4 indexed citations
9.
Raptis, Dimitrios, Simone Meroni, Rahul Patidar, et al.. (2021). Green solvent engineering for enhanced performance and reproducibility in printed carbon-based mesoscopic perovskite solar cells and modules. Materials Advances. 3(2). 1125–1138. 36 indexed citations
10.
Charles, Rhys, Catherine S. P. De Castro, Rodrigo García‐Rodríguez, et al.. (2021). Sustainable solvent selection for the manufacture of methylammonium lead triiodide (MAPbI3) perovskite solar cells. Green Chemistry. 23(6). 2471–2486. 64 indexed citations
11.
Swartwout, Richard, Rahul Patidar, Benjia Dou, et al.. (2021). Predicting Low Toxicity and Scalable Solvent Systems for High‐Speed Roll‐to‐Roll Perovskite Manufacturing. Solar RRL. 6(3). 13 indexed citations
12.
Shukla, Sudhanshu, Teck Ming Koh, Rahul Patidar, et al.. (2021). Suppressing the δ-Phase and Photoinstability through a Hypophosphorous Acid Additive in Carbon-Based Mixed-Cation Perovskite Solar Cells. The Journal of Physical Chemistry C. 125(12). 6585–6592. 10 indexed citations
13.
Burkitt, Daniel, Rahul Patidar, Peter Greenwood, et al.. (2020). Roll-to-roll slot-die coated P–I–N perovskite solar cells using acetonitrile based single step perovskite solvent system. Sustainable Energy & Fuels. 4(7). 3340–3351. 76 indexed citations
15.
Bashir, Amna, Jia Haur Lew, Sudhanshu Shukla, et al.. (2019). Cu-doped nickel oxide interface layer with nanoscale thickness for efficient and highly stable printable carbon-based perovskite solar cell. Solar Energy. 182. 225–236. 70 indexed citations
16.
Patidar, Rahul, Daniel Burkitt, Katherine Hooper, David Richards, & Trystan Watson. (2019). Slot-die coating of perovskite solar cells: An overview. Materials Today Communications. 22. 100808–100808. 160 indexed citations
17.
Bashir, Amna, Sudhanshu Shukla, Jia Haur Lew, et al.. (2017). Spinel Co3O4 nanomaterials for efficient and stable large area carbon-based printed perovskite solar cells. Nanoscale. 10(5). 2341–2350. 116 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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