Sukhdeep Singh

31 total papers · 467 total citations
20 papers, 302 citations indexed

About

Sukhdeep Singh is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sukhdeep Singh has authored 20 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 10 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sukhdeep Singh's work include Advanced Thermoelectric Materials and Devices (7 papers), Chalcogenide Semiconductor Thin Films (6 papers) and Handwritten Text Recognition Techniques (5 papers). Sukhdeep Singh is often cited by papers focused on Advanced Thermoelectric Materials and Devices (7 papers), Chalcogenide Semiconductor Thin Films (6 papers) and Handwritten Text Recognition Techniques (5 papers). Sukhdeep Singh collaborates with scholars based in India and United Kingdom. Sukhdeep Singh's co-authors include S. K. Tripathi, Anuj Sharma, G. S. S. Saini, J. B. Singh, Amit Joshi, Jagtar Singh, Kuldeep Chand Verma, Arvind Behal, Navneet Batra and R.K. Kotnala and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Journal of Physics and Chemistry of Solids.

In The Last Decade

Sukhdeep Singh

20 papers receiving 295 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sukhdeep Singh 137 79 58 52 45 20 302
Qian Zhang 91 0.7× 46 0.6× 72 1.2× 101 1.9× 27 0.6× 31 334
Limei Xiao 96 0.7× 39 0.5× 44 0.8× 154 3.0× 88 2.0× 24 350
Xin Gao 57 0.4× 42 0.5× 116 2.0× 11 0.2× 14 0.3× 32 303
Siim Pikker 83 0.6× 82 1.0× 107 1.8× 10 0.2× 11 0.2× 20 308
Cong Rao 110 0.8× 26 0.3× 10 0.2× 94 1.8× 10 0.2× 15 318
Wenya Liu 110 0.8× 154 1.9× 82 1.4× 13 0.3× 4 0.1× 32 360
Haobo Yang 26 0.2× 63 0.8× 17 0.3× 25 0.5× 5 0.1× 33 346
Xinyue Zhang 106 0.8× 58 0.7× 17 0.3× 36 0.7× 18 0.4× 24 361
Emma L. Prime 128 0.9× 67 0.8× 34 0.6× 7 0.1× 5 0.1× 21 361
Qi Cui 87 0.6× 46 0.6× 9 0.2× 18 0.3× 25 0.6× 34 323

Countries citing papers authored by Sukhdeep Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sukhdeep Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukhdeep Singh

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

All Works

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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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