Bithin Datta

6.1k citations
217 papers · 5.0k · h-index 41

Impact in

Papers in

    • Groundwater flow and contamination studies 108
    • Hydrological Forecasting Using AI 53
    • Reservoir Engineering and Simulation Methods 52
    • Water resources management and optimization 50

Bithin Datta

200 papers receiving 4.7k citations

Peers

Bithin Datta
Comparison fields: 5 of 118
  • Environmental Engineering 3.3k
  • Geochemistry and Petrology 986
  • Ocean Engineering 2.0k
  • Water Science and Technology 1.1k
  • Civil and Structural Engineering 1.3k
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Citations per year

Countries citing papers authored by Bithin Datta

Since Specialization
Citations

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

Fields of papers citing papers by Bithin Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bithin Datta, 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 Bithin Datta Line = papers co-authored together Bithin Datta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 217 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971178
2 2010169
3 2001162
4 2006161
5 1997159
6 2004149
7 2009143
8 2000128
9 2011127
10 2005123
11 199992
12 201089
13 200683
14 201180
15 200979
16 201277
17 200976
18 200972
19 201571
20 198466

About Bithin Datta

Bithin Datta is a scholar working on Environmental Engineering, Ocean Engineering, Geochemistry and Petrology, Water Science and Technology and Civil and Structural Engineering, having authored 217 papers that have together received 5.0k indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (108 papers), Hydrological Forecasting Using AI (53 papers), Reservoir Engineering and Simulation Methods (52 papers), Water resources management and optimization (50 papers), Hydrology and Watershed Management Studies (40 papers), Groundwater and Isotope Geochemistry (37 papers), Water Systems and Optimization (32 papers) and Pulsars and Gravitational Waves Research (19 papers). The work is most often cited by research in Environmental Engineering (3.3k citations), Geochemistry and Petrology (986 citations), Ocean Engineering (2.0k citations), Water Science and Technology (1.1k citations) and Civil and Structural Engineering (1.3k citations). Bithin Datta has collaborated with scholars based in Australia, India and Bangladesh. Frequent co-authors include Anirban Dhar, Pooran Singh Mahar, Raj Mohan Singh, Dilip Kumar Roy, Alvin Lal, Amlan Das, Rajib Kumar Bhattacharjya, Friedrich W. Hehl, Om Prakash and Sreenivasulu Chadalavada. Their work appears in journals such as Water Resources Management, Journal of Water Resources Planning and Management, Journal of Hydrologic Engineering, Environmental Monitoring and Assessment and The Astrophysical Journal.

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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