Basudev Biswal

1.0k total citations
46 papers, 730 citations indexed

About

Basudev Biswal is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Basudev Biswal has authored 46 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Water Science and Technology, 22 papers in Environmental Engineering and 21 papers in Global and Planetary Change. Recurrent topics in Basudev Biswal's work include Hydrology and Watershed Management Studies (34 papers), Hydrology and Sediment Transport Processes (16 papers) and Flood Risk Assessment and Management (15 papers). Basudev Biswal is often cited by papers focused on Hydrology and Watershed Management Studies (34 papers), Hydrology and Sediment Transport Processes (16 papers) and Flood Risk Assessment and Management (15 papers). Basudev Biswal collaborates with scholars based in India, United States and Australia. Basudev Biswal's co-authors include Marco Marani, D. Nagesh Kumar, K. P. Sudheer, Bellie Sivakumar, Christoph Rüdiger, Stefano Basso, Andrea Betterle, Mario Schirmer, Gianluca Botter and Riddhi Singh and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Basudev Biswal

41 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Basudev Biswal India 14 616 429 303 180 90 46 730
K. A. Sawicz United States 7 755 1.2× 609 1.4× 258 0.9× 106 0.6× 121 1.3× 11 842
G. Carrillo United States 6 797 1.3× 626 1.5× 272 0.9× 107 0.6× 131 1.5× 8 873
Michael Stoelzle Germany 12 460 0.7× 357 0.8× 160 0.5× 68 0.4× 111 1.2× 20 599
Guiping Wu China 15 396 0.6× 476 1.1× 188 0.6× 208 1.2× 120 1.3× 40 773
Keirnan Fowler Australia 16 937 1.5× 772 1.8× 334 1.1× 101 0.6× 145 1.6× 46 1.1k
Thanh‐Nhan‐Duc Tran United States 16 456 0.7× 477 1.1× 189 0.6× 72 0.4× 240 2.7× 23 792
Daniel Partington Australia 17 661 1.1× 324 0.8× 440 1.5× 138 0.8× 76 0.8× 32 832
Jacob H. LaFontaine United States 11 528 0.9× 302 0.7× 180 0.6× 87 0.5× 149 1.7× 19 616
Ahmad A. Tavakoly United States 13 444 0.7× 534 1.2× 130 0.4× 105 0.6× 247 2.7× 32 687
Kang Liang China 19 689 1.1× 756 1.8× 200 0.7× 73 0.4× 215 2.4× 33 979

Countries citing papers authored by Basudev Biswal

Since Specialization
Citations

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

Fields of papers citing papers by Basudev Biswal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Basudev Biswal

This figure shows the co-authorship network connecting the top 25 collaborators of Basudev Biswal. A scholar is included among the top collaborators of Basudev Biswal 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 Basudev Biswal. Basudev Biswal 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.
Biswal, Basudev, et al.. (2025). DBv2: an improved climate-centric calibration-free model for runoff-generation simulation. Hydrological Sciences Journal. 71(1). 114–127.
2.
Sahu, Manoranjan, Basudev Biswal, Jai Prakash, et al.. (2025). Temporal dynamics and source characteristics of fine particulate matter using Positive Matrix Factorization (PMF). Atmospheric Pollution Research. 16(8). 102539–102539.
3.
Qureshi, Asif, et al.. (2025). Finding a parsimonious suspended sediment transport model structure. Journal of Hydrology. 657. 133143–133143.
4.
Biswal, Basudev, et al.. (2025). Emergence of efficient channel networks in fluvial landscapes. Advances in Water Resources. 200. 104962–104962.
5.
Biswal, Basudev, et al.. (2024). Streamflow prediction in ungauged basins: How dissimilar are drainage basins?. Journal of Hydrology. 637. 131357–131357. 6 indexed citations
6.
Sahu, Manoranjan, Basudev Biswal, Jai Prakash, et al.. (2024). Real-Time Source Apportionment of Particulate Matter from Low-Cost Particle Sensors Using Machine Learning. Aerosol Science and Engineering. 9(4). 446–456. 1 indexed citations
7.
Biswal, Basudev, et al.. (2024). A geomorphic perspective on discharge–area relationships. Earth Surface Processes and Landforms. 49(11). 3456–3470. 1 indexed citations
8.
Sahu, Manoranjan, et al.. (2023). Spatiotemporal analysis of fine particulate matter for India (1980–2021) from MERRA-2 using ensemble machine learning. Atmospheric Pollution Research. 14(8). 101834–101834. 10 indexed citations
9.
Biswal, Basudev, et al.. (2023). Universal recession constants and their potential to predict recession flow. Journal of Hydrology. 626. 130244–130244. 6 indexed citations
10.
Biswal, Basudev, et al.. (2023). Dynamic aspects of suspended-sediment-concentration recession curves. Journal of Hydrology. 617. 129107–129107. 8 indexed citations
11.
Biswal, Basudev, et al.. (2023). Value of process understanding in the era of machine learning: A case for recession flow prediction. Journal of Hydrology. 626. 130350–130350. 5 indexed citations
12.
Sahu, Manoranjan, et al.. (2023). Machine Learning Classification Model to Label Sources Derived from Factor Analysis Receptor Models for Source Apportionment. Aerosol and Air Quality Research. 23(7). 220386–220386. 4 indexed citations
13.
Biswal, Basudev, et al.. (2023). Sensitivity Analysis of Modelled Flood Inundation Extents over Hawkesbury–Nepean Catchment. Geosciences. 13(3). 67–67. 1 indexed citations
14.
Biswal, Basudev, et al.. (2022). Sediment-yield prediction using map correlation method. Materials Today Proceedings. 62. 6391–6400. 2 indexed citations
15.
Biswal, Basudev, et al.. (2021). A Canberra distance-based complex network classification framework using lumped catchment characteristics. Stochastic Environmental Research and Risk Assessment. 35(6). 1293–1300. 5 indexed citations
16.
Biswal, Basudev, et al.. (2021). Drought hotspot maps and regional drought characteristics curves: Development of a novel framework and its application to an Indian River basin undergoing climatic changes. The Science of The Total Environment. 807(Pt 3). 151083–151083. 10 indexed citations
17.
Biswal, Basudev, et al.. (2019). Recession flow prediction in gauged and ungauged basins by just considering past discharge information. Hydrological Sciences Journal. 65(1). 21–32. 18 indexed citations
18.
Biswal, Basudev & Riddhi Singh. (2016). Incorporating channel network information in hydrologic response modelling: Development of a model and inter-model comparison. Advances in Water Resources. 100. 168–182. 13 indexed citations
19.
Biswal, Basudev & D. Nagesh Kumar. (2013). A general geomorphological recession flow model for river basins. Water Resources Research. 49(8). 4900–4906. 30 indexed citations
20.
Biswal, Basudev & Marco Marani. (2010). The geomorphological origin of recession curves. Research Padua Archive (University of Padua). 2010. 1 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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