D. Dutta

1.7k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

D. Dutta is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, D. Dutta has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 11 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in D. Dutta's work include Hydrology and Watershed Management Studies (20 papers), Flood Risk Assessment and Management (11 papers) and Hydrological Forecasting Using AI (9 papers). D. Dutta is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Flood Risk Assessment and Management (11 papers) and Hydrological Forecasting Using AI (9 papers). D. Dutta collaborates with scholars based in Australia, India and Thailand. D. Dutta's co-authors include Jai Vaze, Jin Teng, Anthony J. Jakeman, Barry Croke, Steve Marvanek, Walid A. Daoud, Ashim Gupta, Justin Hughes, Shaun Kim and G Podger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Surface and Coatings Technology and Hydrological Processes.

In The Last Decade

D. Dutta

22 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Flood inundation modelling: A review of methods, recent advances and uncertainty analysis

2017 929 citations Jin Teng, Anthony J. Jakeman et al. Environmental Modelling & Software profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Dutta Australia	8	1.0k	731	425	240	168	24	1.2k
Yasuto Tachikawa Japan	19	1.3k 1.2×	1.2k 1.6×	528 1.2×	354 1.5×	115 0.7×	233	1.6k
Simin Qu China	19	695 0.7×	697 1.0×	228 0.5×	307 1.3×	121 0.7×	76	1.0k
Stefano Basso Germany	19	723 0.7×	828 1.1×	109 0.3×	161 0.7×	222 1.3×	37	1.2k
Pedro Luiz Borges Chaffe Brazil	16	606 0.6×	633 0.9×	154 0.4×	171 0.7×	160 1.0×	50	941
Hongxiang Yan United States	17	659 0.6×	559 0.8×	397 0.9×	241 1.0×	57 0.3×	44	961
Vasilis Bellos Greece	16	504 0.5×	410 0.6×	179 0.4×	175 0.7×	84 0.5×	31	715
Baldassare Bacchi Italy	20	779 0.8×	527 0.7×	328 0.8×	254 1.1×	115 0.7×	41	1.1k
Davide Zoccatelli Italy	19	755 0.7×	529 0.7×	379 0.9×	94 0.4×	125 0.7×	38	1.0k
Ioannis Nalbantis Greece	16	1.2k 1.2×	871 1.2×	117 0.3×	226 0.9×	61 0.4×	33	1.5k
CARLOS TUCCI Brazil	10	516 0.5×	512 0.7×	279 0.7×	187 0.8×	122 0.7×	30	851

Countries citing papers authored by D. Dutta

Since Specialization

Citations

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

Fields of papers citing papers by D. Dutta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Dutta

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

All Works

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20 of 20 papers shown

1.

Dutta, D.. (2025). In praise of floods: the untamed river and the life it brings. International Journal of Water Resources Development. 42(1). 158–160.

2.

Teng, Jin, et al.. (2018). Enhancing the Capability of a Simple, Computationally Efficient, Conceptual Flood Inundation Model in Hydrologically Complex Terrain. Water Resources Management. 33(2). 831–845. 25 indexed citations

3.

Teng, Jin, et al.. (2017). Flood inundation modelling: A review of methods, recent advances and uncertainty analysis. Environmental Modelling & Software. 90. 201–216. 929 indexed citations breakdown →

4.

Ticehurst, Catherine, et al.. (2015). A comparison of Landsat and MODIS flood inundation maps for hydrodynamic modelling in the Murray Darling Basin. 3 indexed citations

5.

Hughes, Justin, et al.. (2015). Whole of system calibration of river models: Weighting functions and their effect on individual gauge and system performance. 1 indexed citations

6.

Frost, Andrew, et al.. (2015). A new integrated continental hydrological simulation system. 42(3). 75. 7 indexed citations

7.

Teng, Jin, Jai Vaze, D. Dutta, & Steve Marvanek. (2015). Rapid Inundation Modelling in Large Floodplains Using LiDAR DEM. Water Resources Management. 29(8). 2619–2636. 96 indexed citations

8.

Dutta, D., et al.. (2015). Streamflow predictions in regulated river systems: hydrological non-stationarity versus anthropogenic water use. SHILAP Revista de lepidopterología. 371. 35–42. 3 indexed citations

9.

Hughes, Justin, et al.. (2014). System-Wide Calibration of River System Models: Opportunities and Challenges. AGU Fall Meeting Abstracts. 2014.

10.

Dutta, D., et al.. (2014). Evaluation of Sediment Transport Capacity Equations Using Basin Scale Process-Based Sediment Dynamic Modelling Approach. Water Resources Management. 29(4). 1097–1116. 5 indexed citations

11.

Hughes, Justin, et al.. (2014). The Effect of Stream Network Simplification and Gauge Error on River Model Performance. Australasian Journal of Water Resources. 18(2). 151–161. 1 indexed citations

12.

Hughes, Justin, D. Dutta, Jai Vaze, Shaun Kim, & G Podger. (2013). An automated multi-step calibration procedure for a river system model. Environmental Modelling & Software. 51. 173–183. 13 indexed citations

13.

Dutta, D., et al.. (2012). Trialling eWater Source with a simplified Pioneer catchment. 766. 1 indexed citations

14.

Petheram, Cuan, Ian Watson, M. Craig Barber, et al.. (2012). Proposed project methods for the Flinders and Gilbert agricultural resource assessment. Own your potential (DEAKIN). 733–741. 1 indexed citations

15.

Dutta, D., et al.. (2012). An automated calibration procedure for a river system model. 200. 7 indexed citations

16.

Dutta, D., et al.. (2011). Process-based distributed modeling approach for analysis of sediment dynamics in a river basin. Hydrology and earth system sciences. 15(4). 1307–1321. 17 indexed citations

17.

Daoud, Walid A., et al.. (2010). Preparation of large scale photocatalytic TiO2 films by the sol–gel process. Surface and Coatings Technology. 205(2). 251–257. 50 indexed citations

18.

Dutta, D., et al.. (2009). Analysis of Sediment Dynamics in a River Basin Using a Process-based Approach. 54–65. 1 indexed citations

19.

Kaur, Ravinder, et al.. (2003). Assessment of a SWAT model for soil and water management in India. AgEcon Search (University of Minnesota, USA). 3. 1–7. 23 indexed citations

20.

Dutta, D., et al.. (1998). Design and Optimization of a Ground Water Monitoring System Using GIS and Multicriteria Decision Analysis. Groundwater Monitoring & Remediation. 18(1). 139–147. 22 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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