Apurba Kumar Das

47 total papers · 583 total citations
33 papers, 410 citations indexed

About

Apurba Kumar Das is a scholar working on Global and Planetary Change, Ecology and Water Science and Technology. According to data from OpenAlex, Apurba Kumar Das has authored 33 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 12 papers in Ecology and 10 papers in Water Science and Technology. Recurrent topics in Apurba Kumar Das's work include Hydrology and Sediment Transport Processes (10 papers), Flood Risk Assessment and Management (8 papers) and Water Quality and Pollution Assessment (7 papers). Apurba Kumar Das is often cited by papers focused on Hydrology and Sediment Transport Processes (10 papers), Flood Risk Assessment and Management (8 papers) and Water Quality and Pollution Assessment (7 papers). Apurba Kumar Das collaborates with scholars based in India, Saudi Arabia and Bangladesh. Apurba Kumar Das's co-authors include Nabajit Hazarika, Suranjana Bhaswati Borah, R. Kirubagaran, Nambali Valsalan Vinithkumar, Dilip Kumar Jha, Biraja Kumar Sahu, Mehmuna Begum, Gopal Dharani, Ganesh Thiruchitrambalam and D. Nagesh Kumar and has published in prestigious journals such as Environmental Pollution, Journal of Hydrology and Marine Pollution Bulletin.

In The Last Decade

Apurba Kumar Das

32 papers receiving 398 citations

Author Peers

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

Author						Papers	Cites
Apurba Kumar Das	202	142	107	100	67	33	410
Sisi Wang	280 1.4×	126 0.9×	110 1.0×	65 0.7×	57 0.9×	27	474
Zhanyong Fu	199 1.0×	179 1.3×	77 0.7×	63 0.6×	26 0.4×	29	441
Michael Battaglia	192 1.0×	194 1.4×	114 1.1×	47 0.5×	53 0.8×	33	438
Xinfeng Zhao	104 0.5×	78 0.5×	67 0.6×	82 0.8×	80 1.2×	19	423
Joe McMahon	108 0.5×	168 1.2×	89 0.8×	141 1.4×	32 0.5×	22	392
Ligang Ma	145 0.7×	127 0.9×	173 1.6×	185 1.9×	26 0.4×	22	478
Monica M. Palta	171 0.8×	117 0.8×	127 1.2×	113 1.1×	45 0.7×	21	377
Huiying Ma	224 1.1×	91 0.6×	84 0.8×	117 1.2×	24 0.4×	26	492
Asma Abahussain	150 0.7×	112 0.8×	77 0.7×	143 1.4×	20 0.3×	33	488
Lingling Li	204 1.0×	101 0.7×	111 1.0×	85 0.8×	49 0.7×	36	410

Countries citing papers authored by Apurba Kumar Das

Since Specialization

Citations

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

Fields of papers citing papers by Apurba Kumar Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apurba Kumar Das

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