Dilip Kumar Roy

1.4k citations
69 papers · 1.0k · h-index 19

Impact in

Papers in

    • Hydrological Forecasting Using AI 27
    • Groundwater flow and contamination studies 20
    • Reservoir Engineering and Simulation Methods 8
    • Water resources management and optimization 5

Dilip Kumar Roy

63 papers receiving 983 citations

Peers

Dilip Kumar Roy
Comparison fields: 5 of 125
  • Environmental Engineering 435
  • Water Science and Technology 223
  • Geochemistry and Petrology 92
  • Global and Planetary Change 323
  • Soil Science 97
Replace Venkatesh Uddameri with:
Venkatesh Uddameri United States
V. Jayaraman India
Michele Vurro Italy
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Sasmita Sahoo India
Tirusew Asefa United States
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Citations per field
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Citations per year

Countries citing papers authored by Dilip Kumar Roy

Since Specialization
Citations

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

Fields of papers citing papers by Dilip Kumar Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dilip Kumar Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dilip Kumar Roy Line = papers co-authored together Dilip Kumar Roy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 199365
3 202262
4 202158
5
The 1998 floods in Bangladesh: disaster impacts, household coping strategies, and responses
200156
6 202153
7 198648
8 202144
9 201643
10 201742
11 201638
12 201825
13 201725
14 202224
15 201824
16 201823
17 201722
18 202122
19 202020
20 199218

About Dilip Kumar Roy

Dilip Kumar Roy is a scholar working on Environmental Engineering, Ocean Engineering, Global and Planetary Change, Water Science and Technology and Electrical and Electronic Engineering, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (27 papers), Groundwater flow and contamination studies (20 papers), Hydrology and Watershed Management Studies (8 papers), Reservoir Engineering and Simulation Methods (8 papers), Plant Water Relations and Carbon Dynamics (7 papers), Groundwater and Isotope Geochemistry (6 papers), Solar Radiation and Photovoltaics (5 papers) and Water resources management and optimization (5 papers). The work is most often cited by research in Environmental Engineering (435 citations), Water Science and Technology (223 citations), Geochemistry and Petrology (92 citations), Global and Planetary Change (323 citations) and Soil Science (97 citations). Dilip Kumar Roy has collaborated with scholars based in Bangladesh, Australia and India. Frequent co-authors include Bithin Datta, Anil K. Bhunia, Sujit K. Biswas, Khokan Kumer Sarker, John Quilty, Jan Adamowski, Rahim Barzegar, S. K. Banerjee, Carlo del Ninno and Mohamed A. Mattar. Their work appears in journals such as Water Resources Management, Water, Journal of Hydrology, Journal of Hydrologic Engineering and Solid-State Electronics.

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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