Tirthankar Roy

3.2k total citations · 1 hit paper
49 papers, 1.1k citations indexed

About

Tirthankar Roy is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Tirthankar Roy has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Global and Planetary Change, 32 papers in Water Science and Technology and 20 papers in Atmospheric Science. Recurrent topics in Tirthankar Roy's work include Hydrology and Watershed Management Studies (32 papers), Flood Risk Assessment and Management (21 papers) and Climate variability and models (10 papers). Tirthankar Roy is often cited by papers focused on Hydrology and Watershed Management Studies (32 papers), Flood Risk Assessment and Management (21 papers) and Climate variability and models (10 papers). Tirthankar Roy collaborates with scholars based in United States, Brazil and India. Tirthankar Roy's co-authors include Eric F. Wood, Hylke E. Beck, Robert F. Adler, Florian Pappenberger, Graham P. Weedon, George J. Huffman, Albert I. J. M. van Dijk, Ming Pan, P. A. Troch and Antônio Alves Meira Neto and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Water Resources Research.

In The Last Decade

Tirthankar Roy

46 papers receiving 1.1k citations

Hit Papers

Daily evaluation of 26 precipitation datasets using Stage... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tirthankar Roy United States 14 766 542 532 250 53 49 1.1k
Jongjin Baik South Korea 18 746 1.0× 413 0.8× 486 0.9× 390 1.6× 78 1.5× 43 1.1k
Satish Kumar Regonda India 12 757 1.0× 693 1.3× 500 0.9× 246 1.0× 59 1.1× 28 1.1k
L. Goncalves Brazil 16 815 1.1× 435 0.8× 674 1.3× 296 1.2× 99 1.9× 43 1.2k
Zhu Liu China 11 650 0.8× 372 0.7× 273 0.5× 174 0.7× 81 1.5× 33 852
Marzena Osuch Poland 18 581 0.8× 571 1.1× 451 0.8× 233 0.9× 73 1.4× 60 1.1k
Thanh‐Nhan‐Duc Tran United States 16 477 0.6× 456 0.8× 240 0.5× 189 0.8× 72 1.4× 23 792
Kabir Rasouli Canada 14 361 0.5× 426 0.8× 317 0.6× 263 1.1× 47 0.9× 29 771
Mohammed Ombadi United States 11 654 0.9× 266 0.5× 670 1.3× 215 0.9× 41 0.8× 20 1.0k
Srivatsan V. Raghavan Singapore 22 764 1.0× 313 0.6× 460 0.9× 245 1.0× 42 0.8× 39 1.0k
Rajesh R. Shrestha Canada 20 568 0.7× 769 1.4× 428 0.8× 269 1.1× 128 2.4× 59 1.2k

Countries citing papers authored by Tirthankar Roy

Since Specialization
Citations

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

Fields of papers citing papers by Tirthankar Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tirthankar Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Tirthankar Roy. A scholar is included among the top collaborators of Tirthankar Roy 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 Tirthankar Roy. Tirthankar Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Davidson, Sean M., et al.. (2025). Climatological Context of the Severe Rain‐on‐Snow Flooding Event of March 2019 in Eastern Nebraska. International Journal of Climatology. 45(8).
2.
Roy, Tirthankar, et al.. (2025). Trends and causal structures of rain-on-snow flooding. Journal of Hydrology. 662. 133938–133938.
3.
Sharma, Harmandeep, et al.. (2025). Evapotranspiration Partitioning Using Flux Tower Data in a Semi‐Arid Ecosystem. Hydrological Processes. 39(3). 2 indexed citations
4.
Roy, Tirthankar, et al.. (2025). Baseflow Identification via Explainable AI With Kolmogorov‐Arnold Networks. eScholarship (California Digital Library). 2(4).
5.
Roy, Tirthankar, et al.. (2024). Temporal Fusion Transformers for streamflow Prediction: Value of combining attention with recurrence. Journal of Hydrology. 637. 131301–131301. 37 indexed citations
6.
Roy, Tirthankar, et al.. (2024). A parsimonious setup for streamflow forecasting using CNN-LSTM. Journal of Hydroinformatics. 26(11). 2751–2761. 5 indexed citations
7.
Roy, Tirthankar, et al.. (2024). Degradation and molecular docking of Curli to scout aggregation complexion. Bioresource Technology Reports. 26. 101830–101830. 1 indexed citations
8.
Roy, Tirthankar, et al.. (2024). Ohio River basin snow ablation and the role of rain‐on‐snow. Hydrological Processes. 38(6). 2 indexed citations
9.
Leal, Lucía Hernández, Tirthankar Roy, Daniel R. Uden, & Karina Schoengold. (2024). Hydrological impacts of the conservation reserve program—a mini review. Frontiers in Water. 6. 1 indexed citations
10.
Roy, Tirthankar, et al.. (2023). Effects of mass balance, energy balance, and storage-discharge constraints on LSTM for streamflow prediction. Environmental Modelling & Software. 166. 105730–105730. 19 indexed citations
11.
Meixner, T., et al.. (2023). Physical and biogeochemical drivers of solute mobilization and flux through the critical zone after wildfire. Frontiers in Water. 5. 9 indexed citations
12.
Tadesse, Tsegaye, et al.. (2023). An autoencoder-based snow drought index. Scientific Reports. 13(1). 20664–20664. 2 indexed citations
13.
Mai, Juliane, Hongren Shen, Bryan A. Tolson, et al.. (2022). The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL). Hydrology and earth system sciences. 26(13). 3537–3572. 64 indexed citations
14.
Sharma, Sanjib, Lorenzo Nava, Rocky Talchabhadel, et al.. (2022). Natural Hazards Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. Earth and Space Science. 9(1). 4 indexed citations
15.
Oliveira, Paulo Tarso Sanches de, et al.. (2022). Towards reducing flood risk disasters in a tropical urban basin by the development of flood alert web application. Environmental Modelling & Software. 151. 105367–105367. 11 indexed citations
16.
Almagro, André, et al.. (2021). CABra: a novel large-sample dataset for Brazilian catchments. Hydrology and earth system sciences. 25(6). 3105–3135. 34 indexed citations
17.
Neto, Antônio Alves Meira, Tirthankar Roy, Paulo Tarso Sanches de Oliveira, & P. A. Troch. (2020). An Aridity Index‐Based Formulation of Streamflow Components. Water Resources Research. 56(9). 30 indexed citations
18.
Beck, Hylke E., Ming Pan, Tirthankar Roy, et al.. (2019). Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS. Hydrology and earth system sciences. 23(1). 207–224. 415 indexed citations breakdown →
19.
Troch, P. A., Ravindra Dwivedi, Tao Liu, et al.. (2018). Catchment-scale groundwater recharge and vegetation water use efficiency. Biogeosciences (European Geosciences Union). 5 indexed citations
20.
Roy, Tirthankar, Hoshin V. Gupta, Aleix Serrat‐Capdevila, & Juan B. Valdés. (2017). Using satellite-based evapotranspiration estimates to improve the structure of a simple conceptual rainfall–runoff model. Hydrology and earth system sciences. 21(2). 879–896. 40 indexed citations

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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