Ranbir Singh

2.5k total citations · 1 hit paper
60 papers, 2.2k citations indexed

About

Ranbir Singh is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Ranbir Singh has authored 60 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Electrical and Electronic Engineering, 46 papers in Polymers and Plastics and 9 papers in Materials Chemistry. Recurrent topics in Ranbir Singh's work include Conducting polymers and applications (46 papers), Perovskite Materials and Applications (42 papers) and Organic Electronics and Photovoltaics (37 papers). Ranbir Singh is often cited by papers focused on Conducting polymers and applications (46 papers), Perovskite Materials and Applications (42 papers) and Organic Electronics and Photovoltaics (37 papers). Ranbir Singh collaborates with scholars based in South Korea, India and Italy. Ranbir Singh's co-authors include Kilwon Cho, Jaewon Lee, Jae‐Joon Lee, Zhipeng Kan, Panagiotis E. Keivanidis, Sanjay Sandhu, Kyu Chan Song, Dong Hun Sin, Tengling Ye and Heung Gyu Kim and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Energy & Environmental Science.

In The Last Decade

Ranbir Singh

57 papers receiving 2.2k citations

Hit Papers

Additive-induced miscibility regulation and hierarchical ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranbir Singh South Korea 27 2.0k 1.5k 562 152 108 60 2.2k
Tengling Ye China 26 1.5k 0.8× 954 0.6× 780 1.4× 126 0.8× 180 1.7× 72 1.9k
Sooncheol Kwon South Korea 25 2.1k 1.1× 1.6k 1.1× 610 1.1× 373 2.5× 108 1.0× 71 2.4k
Song Yi Park South Korea 28 2.1k 1.1× 1.5k 1.0× 575 1.0× 167 1.1× 100 0.9× 64 2.3k
Jörgen Sweelssen Netherlands 21 1.7k 0.8× 1.2k 0.8× 387 0.7× 184 1.2× 145 1.3× 32 1.9k
Ching‐Hong Tan United Kingdom 19 2.5k 1.3× 2.1k 1.4× 400 0.7× 208 1.4× 258 2.4× 26 2.7k
Nir Yaacobi‐Gross United Kingdom 20 1.8k 0.9× 1.1k 0.7× 919 1.6× 342 2.3× 123 1.1× 23 2.3k
Kirill Zilberberg Germany 17 1.7k 0.9× 1.2k 0.8× 576 1.0× 270 1.8× 86 0.8× 19 1.9k
Masoud Ghasemi United States 21 2.7k 1.4× 2.2k 1.5× 450 0.8× 218 1.4× 100 0.9× 40 3.0k
Marios Neophytou Saudi Arabia 26 3.0k 1.5× 2.3k 1.5× 744 1.3× 304 2.0× 147 1.4× 48 3.2k
Jonathan Lee Yang United States 11 2.2k 1.1× 1.4k 0.9× 996 1.8× 132 0.9× 183 1.7× 13 2.4k

Countries citing papers authored by Ranbir Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ranbir Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranbir Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Ranbir Singh. A scholar is included among the top collaborators of Ranbir Singh 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 Ranbir Singh. Ranbir Singh 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
5.
Singh, Ranbir, et al.. (2023). Bandgap Engineered Double-Cation/Double-Halide Quasi-Cubic Perovskite for Highly Efficient (>36%) Indoor Photovoltaics. IEEE Journal of Photovoltaics. 13(6). 858–865. 5 indexed citations
6.
Kini, Gururaj P., Mritunjaya Parashar, Muhammad Jahandar, et al.. (2022). Structure–property relationships of diketopyrrolopyrrole- and thienoacene-based A–D–A type hole transport materials for efficient perovskite solar cells. New Journal of Chemistry. 46(20). 9572–9581. 3 indexed citations
7.
Sharma, Satinder K., et al.. (2022). Light-Sensitive PVDF-TrFE:PDI Hybrid Nanofibers-Based Flexible Bimodal Piezoelectric Nanogenerator. 1(3). 194–202. 11 indexed citations
8.
Singh, Ranbir, Vivek Kumar Shukla, Mritunjaya Parashar, Vikrant Sharma, & Satinder K. Sharma. (2022). Highly efficient quasi-cubic structured perovskite for harvesting energy from artificial indoor LED light source. Solar Energy. 245. 332–339. 11 indexed citations
9.
Kini, Gururaj P., Mritunjaya Parashar, Vivek Kumar Shukla, & Ranbir Singh. (2021). Deciphering the effect of replacing thiophene with selenophene in diketopyrrolopyrrole (DPP)-based low cost hole transport materials on the performance of perovskite solar cells. Sustainable Energy & Fuels. 5(23). 5994–6003. 10 indexed citations
10.
Lv, Jie, Hua Tang, Jiaming Huang, et al.. (2021). Additive-induced miscibility regulation and hierarchical morphology enable 17.5% binary organic solar cells. Energy & Environmental Science. 14(5). 3044–3052. 232 indexed citations breakdown →
11.
Lv, Jie, Vincent M. Le Corre, Hua Tang, et al.. (2020). Effects of Fluorination on Fused Ring Electron Acceptor for Active Layer Morphology, Exciton Dissociation, and Charge Recombination in Organic Solar Cells. ACS Applied Materials & Interfaces. 12(50). 56231–56239. 18 indexed citations
12.
Ye, Tengling, Shan Jin, Ranbir Singh, et al.. (2020). Effects of solvent additives on the morphology and transport property of a perylene diimide dimer film in perovskite solar cells for improved performance. Solar Energy. 201. 927–934. 19 indexed citations
13.
Singh, Ranbir, Christos L. Chochos, Vasilis G. Gregoriou, et al.. (2019). Highly Efficient Indoor Organic Solar Cells by Voltage Loss Minimization through Fine-Tuning of Polymer Structures. ACS Applied Materials & Interfaces. 11(40). 36905–36916. 55 indexed citations
15.
Singh, Ranbir, et al.. (2019). Excimer formation effects and trap-assisted charge recombination loss channels in organic solar cells of perylene diimide dimer acceptors. Journal of Materials Chemistry C. 8(5). 1686–1696. 25 indexed citations
16.
Singh, Ranbir, et al.. (2019). Elucidating the effect of shunt losses on the performance of mesoporous perovskite solar cells. Solar Energy. 193. 956–961. 82 indexed citations
17.
Singh, Ranbir, Sang‐Chul Shin, Hansol Lee, et al.. (2019). Ternary Blend Strategy for Achieving High‐Efficiency Organic Photovoltaic Devices for Indoor Applications. Chemistry - A European Journal. 25(24). 6154–6161. 40 indexed citations
18.
Singh, Ranbir, Anupam Giri, Monalisa Pal, et al.. (2019). Perovskite solar cells with an MoS2 electron transport layer. Journal of Materials Chemistry A. 7(12). 7151–7158. 132 indexed citations
19.
Chochos, Christos L., Ranbir Singh, Vasilis G. Gregoriou, et al.. (2018). Enhancement of the Power-Conversion Efficiency of Organic Solar Cells via Unveiling an Appropriate Rational Design Strategy in Indacenodithiophene-alt-quinoxaline π-Conjugated Polymers. ACS Applied Materials & Interfaces. 10(12). 10236–10245. 10 indexed citations
20.
Lee, Jaewon, Ranbir Singh, Dong Hun Sin, et al.. (2016). Solar Cells: A Nonfullerene Small Molecule Acceptor with 3D Interlocking Geometry Enabling Efficient Organic Solar Cells (Adv. Mater. 1/2016). Advanced Materials. 28(1). 1–1. 44 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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