Sukanya Das

95 total papers · 1.1k total citations
39 papers, 718 citations indexed

About

Sukanya Das is a scholar working on Ocean Engineering, Industrial and Manufacturing Engineering and Pharmacology. According to data from OpenAlex, Sukanya Das has authored 39 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ocean Engineering, 8 papers in Industrial and Manufacturing Engineering and 6 papers in Pharmacology. Recurrent topics in Sukanya Das's work include Water resources management and optimization (9 papers), Wastewater Treatment and Reuse (7 papers) and Energy and Environment Impacts (6 papers). Sukanya Das is often cited by papers focused on Water resources management and optimization (9 papers), Wastewater Treatment and Reuse (7 papers) and Energy and Environment Impacts (6 papers). Sukanya Das collaborates with scholars based in India, Australia and United States. Sukanya Das's co-authors include Dil Bahadur Rahut, Hugo De Groote, Bhagirath Behera, Scott D. Smid, Ekin Birol, K. Balasubramanian, Vaishali M. Patil, Tara L. Pukala, Vinay Kumar Tyagi and Markus Starkl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and Energy Policy.

In The Last Decade

Sukanya Das

34 papers receiving 692 citations

Author Peers

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

Author						Papers	Cites
Sukanya Das	207	124	113	100	81	39	718
Yuhan Liang	69 0.3×	102 0.8×	47 0.4×	57 0.6×	16 0.2×	37	807
Peng Zhao	76 0.4×	52 0.4×	195 1.7×	84 0.8×	10 0.1×	69	896
Petr Dvořák	159 0.8×	108 0.9×	53 0.5×	23 0.2×	6 0.1×	81	786
Mycle Schneider	376 1.8×	88 0.7×	152 1.3×	41 0.4×	3 0.0×	27	881
Sang Yong Park	68 0.3×	141 1.1×	152 1.3×	9 0.1×	10 0.1×	46	809
Xingang Lu	97 0.5×	10 0.1×	31 0.3×	81 0.8×	9 0.1×	16	767
Muhammad Bilal	290 1.4×	11 0.1×	57 0.5×	67 0.7×	4 0.0×	54	813
Yaxuan Liu	107 0.5×	68 0.5×	55 0.5×	28 0.3×	36 0.4×	57	652
Yixuan Zhang	21 0.1×	89 0.7×	89 0.8×	26 0.3×	25 0.3×	66	630
Shibani Chaudhury	215 1.0×	9 0.1×	31 0.3×	107 1.1×	5 0.1×	39	773

Countries citing papers authored by Sukanya Das

Since Specialization

Citations

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

Fields of papers citing papers by Sukanya Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukanya Das

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