Sanjit Mondal

39 total papers · 665 total citations
32 papers, 570 citations indexed

About

Sanjit Mondal is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Sanjit Mondal has authored 32 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Renewable Energy, Sustainability and the Environment, 26 papers in Materials Chemistry and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Sanjit Mondal's work include Advanced Photocatalysis Techniques (24 papers), Electrocatalysts for Energy Conversion (6 papers) and Copper-based nanomaterials and applications (6 papers). Sanjit Mondal is often cited by papers focused on Advanced Photocatalysis Techniques (24 papers), Electrocatalysts for Energy Conversion (6 papers) and Copper-based nanomaterials and applications (6 papers). Sanjit Mondal collaborates with scholars based in India, Israel and Spain. Sanjit Mondal's co-authors include Ujjal K. Gautam, Lipipuspa Sahoo, C. P. Vinod, Kaustav Chatterjee, Menny Shalom, Michael Volokh, Pitchiah Esakki Karthik, S.R. Das, Sudipta Dutta and Moumita Rana and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Applied Catalysis B: Environmental.

In The Last Decade

Sanjit Mondal

31 papers receiving 565 citations

Author Peers

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

Author						Papers	Cites
Sanjit Mondal	399	398	189	75	40	32	570
Prakash K. Labhane	386 1.0×	337 0.8×	158 0.8×	77 1.0×	46 1.1×	20	555
Yuhang Wu	410 1.0×	444 1.1×	286 1.5×	60 0.8×	33 0.8×	41	630
Nachimuthu Venkatesh	381 1.0×	326 0.8×	185 1.0×	83 1.1×	38 0.9×	32	559
Lipipuspa Sahoo	350 0.9×	390 1.0×	228 1.2×	77 1.0×	29 0.7×	27	569
Yangrui Xu	441 1.1×	537 1.3×	197 1.0×	102 1.4×	47 1.2×	28	698
Agni Raj Koirala	336 0.8×	339 0.9×	159 0.8×	48 0.6×	65 1.6×	24	562
Henrique A.J.L. Mourão	381 1.0×	427 1.1×	202 1.1×	45 0.6×	31 0.8×	21	593
Yan Wang	399 1.0×	469 1.2×	170 0.9×	32 0.4×	58 1.4×	21	602
Xueqing Wu	480 1.2×	421 1.1×	136 0.7×	66 0.9×	59 1.5×	22	685
Chao Yao	447 1.1×	256 0.6×	200 1.1×	84 1.1×	51 1.3×	28	675

Countries citing papers authored by Sanjit Mondal

Since Specialization

Citations

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

Fields of papers citing papers by Sanjit Mondal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjit Mondal

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjit Mondal. A scholar is included among the top collaborators of Sanjit Mondal 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 Sanjit Mondal. Sanjit Mondal 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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