Sudhakar Singha

847 total citations · 1 hit paper
18 papers, 546 citations indexed

About

Sudhakar Singha is a scholar working on Environmental Engineering, Water Science and Technology and Geochemistry and Petrology. According to data from OpenAlex, Sudhakar Singha has authored 18 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 9 papers in Water Science and Technology and 5 papers in Geochemistry and Petrology. Recurrent topics in Sudhakar Singha's work include Groundwater and Watershed Analysis (11 papers), Water Quality and Pollution Assessment (6 papers) and Groundwater and Isotope Geochemistry (5 papers). Sudhakar Singha is often cited by papers focused on Groundwater and Watershed Analysis (11 papers), Water Quality and Pollution Assessment (6 papers) and Groundwater and Isotope Geochemistry (5 papers). Sudhakar Singha collaborates with scholars based in India and Russia. Sudhakar Singha's co-authors include Srinivas Pasupuleti, Soumya S. Singha, Suresh Kumar, Rambabu Singh, A. S. Venkatesh, Mithila Verma, Sunil Saha, Vishal Choudhary and R. Singh and has published in prestigious journals such as Scientific Reports, Chemosphere and Journal of Environmental Management.

In The Last Decade

Sudhakar Singha

17 papers receiving 533 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.

Prediction of groundwater quality using efficient machine learning technique

2021 255 citations Sudhakar Singha, Srinivas Pasupuleti et al. Chemosphere profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sudhakar Singha India	11	369	299	161	86	68	18	546
Soumya S. Singha India	9	347 0.9×	287 1.0×	156 1.0×	73 0.8×	65 1.0×	13	495
Saber Kouadri Algeria	12	376 1.0×	365 1.2×	126 0.8×	83 1.0×	51 0.8×	16	609
Gyoo-Bum Kim South Korea	13	368 1.0×	334 1.1×	180 1.1×	117 1.4×	57 0.8×	83	641
Abel Ojo Talabi Nigeria	9	294 0.8×	161 0.5×	125 0.8×	151 1.8×	58 0.9×	34	516
Wenwen Feng China	8	303 0.8×	324 1.1×	394 2.4×	41 0.5×	39 0.6×	15	602
Kevin Pietersen South Africa	9	346 0.9×	254 0.8×	377 2.3×	51 0.6×	73 1.1×	19	614
Manouchehr Chitsazan Iran	11	375 1.0×	238 0.8×	316 2.0×	79 0.9×	41 0.6×	31	515
Hamid Reza Nassery Iran	13	284 0.8×	195 0.7×	235 1.5×	108 1.3×	21 0.3×	38	551
L. Surinaidu India	17	388 1.1×	296 1.0×	292 1.8×	126 1.5×	46 0.7×	38	713
Obialo S. Onwuka Nigeria	13	211 0.6×	216 0.7×	204 1.3×	30 0.3×	58 0.9×	25	437

Countries citing papers authored by Sudhakar Singha

Since Specialization

Citations

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

Fields of papers citing papers by Sudhakar Singha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhakar Singha

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

All Works

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18 of 18 papers shown

Choudhary, Vishal, et al.. (2025). Expected health risk out of black carbon and particulate matter in the indoor environment of an industrial cluster of chandigarh in India. Scientific Reports. 15(1). 23177–23177. 1 indexed citations

Singha, Soumya S., et al.. (2025). Comparative assessment of groundwater quality using subjective and objective weighting methods in a multi-criteria decision analysis framework. Groundwater for Sustainable Development. 31. 101553–101553. 1 indexed citations

Singha, Sudhakar, et al.. (2024). A novel composite machine learning model for the prediction of compressive strength of blended concrete. Journal of Building Pathology and Rehabilitation. 10(1). 2 indexed citations

Singh, R., et al.. (2023). Geospatial delineation of flood susceptible zones using analytical hierarchy process. IOP Conference Series Earth and Environmental Science. 1280(1). 12052–12052.

Singha, Sudhakar, et al.. (2023). Study on predicting compressive strength of concrete using supervised machine learning techniques. Asian Journal of Civil Engineering. 24(7). 2549–2560. 23 indexed citations

Pasupuleti, Srinivas, et al.. (2022). Groundwater characterization and non-carcinogenic and carcinogenic health risk assessment of nitrate exposure in the Mahanadi River Basin of India. Journal of Environmental Management. 319. 115746–115746. 42 indexed citations

Singha, Soumya S., Sudhakar Singha, Srinivas Pasupuleti, & A. S. Venkatesh. (2022). Knowledge-driven and machine learning decision tree-based approach for assessment of geospatial variation of groundwater quality around coal mining regions, Korba district, Central India. Environmental Earth Sciences. 81(2). 16 indexed citations

Kumar, Suresh, et al.. (2022). A knowledge-driven multi-criteria decision making- Analytical Hierarchy Process based geospatial modeling for the delineation of fluoride contamination zones in groundwater, Jamui district, Indo-Gangetic alluvial plains, India. Groundwater for Sustainable Development. 18. 100795–100795. 5 indexed citations

Singha, Sudhakar, Srinivas Pasupuleti, Soumya S. Singha, Rambabu Singh, & Suresh Kumar. (2021). Prediction of groundwater quality using efficient machine learning technique. Chemosphere. 276. 130265–130265. 255 indexed citations breakdown →

10.

Singha, Sudhakar, et al.. (2020). A fuzzy geospatial approach for delineation of groundwater potential zones in Raipur district, India. Groundwater for Sustainable Development. 12. 100529–100529. 18 indexed citations

11.

Singha, Sudhakar, Srinivas Pasupuleti, Soumya S. Singha, & Suresh Kumar. (2020). Effectiveness of groundwater heavy metal pollution indices studies by deep-learning. Journal of Contaminant Hydrology. 235. 103718–103718. 62 indexed citations

12.

Singha, Sudhakar & Srinivas Pasupuleti. (2020). Delineation of Groundwater Prospect Zones in Arang Block, Raipur District, Chhattisgarh, Central India, Using Analytical Network Process. Journal of the Geological Society of India. 95(6). 609–615. 14 indexed citations

13.

Singha, Soumya S., Srinivas Pasupuleti, Sudhakar Singha, Rambabu Singh, & A. S. Venkatesh. (2019). Analytic network process based approach for delineation of groundwater potential zones in Korba district, Central India using remote sensing and GIS. Geocarto International. 36(13). 1489–1511. 29 indexed citations

14.

Singha, Soumya S., Srinivas Pasupuleti, Sudhakar Singha, Rambabu Singh, & A. S. Venkatesh. (2019). A GIS-based modified DRASTIC approach for geospatial modeling of groundwater vulnerability and pollution risk mapping in Korba district, Central India. Environmental Earth Sciences. 78(21). 34 indexed citations

15.

Singha, Sudhakar, et al.. (2019). An analytical hierarchy process-based geospatial modeling for delineation of potential anthropogenic contamination zones of groundwater from Arang block of Raipur district, Chhattisgarh, Central India. Environmental Earth Sciences. 78(24). 16 indexed citations

16.

Pasupuleti, Srinivas, et al.. (2018). Delineation of groundwater potential zones utilising geospatial techniques in Kadiri watershed of Anantapur district, Andhra Pradesh, India. Journal of Environmental Biology. 40(1). 61–68. 4 indexed citations

17.

Singha, Sudhakar, et al.. (2017). An integrated approach for evaluation of groundwater quality in Korba district, Chhattisgarh using Geomatic techniques. Journal of Environmental Biology. 38(5). 865–872. 19 indexed citations

18.

Singha, Soumya S., et al.. (2015). Assessing Ground Water Quality using GIS. International Journal of Engineering Research and. V4(11). 5 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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