Suraj Kumar Bhagat

2.0k total citations
40 papers, 1.1k citations indexed

About

Suraj Kumar Bhagat is a scholar working on Environmental Engineering, Water Science and Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Suraj Kumar Bhagat has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 15 papers in Water Science and Technology and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Suraj Kumar Bhagat's work include Hydrological Forecasting Using AI (13 papers), Water Quality and Pollution Assessment (5 papers) and Water Quality Monitoring and Analysis (5 papers). Suraj Kumar Bhagat is often cited by papers focused on Hydrological Forecasting Using AI (13 papers), Water Quality and Pollution Assessment (5 papers) and Water Quality Monitoring and Analysis (5 papers). Suraj Kumar Bhagat collaborates with scholars based in Vietnam, India and Iraq. Suraj Kumar Bhagat's co-authors include Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Tran Minh Tung, Tiyasha Tiyasha, Ali H. Jawad, Sinan Q. Salih, Nadhir Al‐Ansari, Konstantina Pyrgaki, Salih Muhammad Awadh, Reham R. Mostafa and Shamsuddin Shahid and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Suraj Kumar Bhagat

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suraj Kumar Bhagat Vietnam 16 506 422 202 176 147 40 1.1k
Tiyasha Tiyasha Vietnam 15 748 1.5× 646 1.5× 157 0.8× 220 1.3× 92 0.6× 32 1.3k
Amanda S. Hering United States 17 327 0.6× 278 0.7× 121 0.6× 171 1.0× 183 1.2× 64 1.3k
Xiankui Zeng China 19 312 0.6× 409 1.0× 74 0.4× 214 1.2× 285 1.9× 60 1.2k
Hüseyin Gökçekuş Cyprus 20 421 0.8× 392 0.9× 157 0.8× 67 0.4× 135 0.9× 113 1.3k
Davor Antanasijević Serbia 21 373 0.7× 622 1.5× 108 0.5× 303 1.7× 128 0.9× 50 1.4k
Marc B. Neumann Spain 23 377 0.7× 399 0.9× 83 0.4× 145 0.8× 320 2.2× 53 1.4k
Tunhua Wu China 19 626 1.2× 627 1.5× 198 1.0× 172 1.0× 42 0.3× 66 1.4k
Nuruol Syuhadaa Mohd Malaysia 20 712 1.4× 336 0.8× 77 0.4× 122 0.7× 63 0.4× 38 1.4k
Majid Ehteshami Iran 20 586 1.2× 365 0.9× 57 0.3× 285 1.6× 135 0.9× 68 1.2k
Elçin Kentel Türkiye 18 255 0.5× 261 0.6× 225 1.1× 108 0.6× 210 1.4× 44 1.4k

Countries citing papers authored by Suraj Kumar Bhagat

Since Specialization
Citations

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

Fields of papers citing papers by Suraj Kumar Bhagat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suraj Kumar Bhagat. 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 Suraj Kumar Bhagat. The network helps show where Suraj Kumar Bhagat may publish in the future.

Co-authorship network of co-authors of Suraj Kumar Bhagat

This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Kumar Bhagat. A scholar is included among the top collaborators of Suraj Kumar Bhagat 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 Suraj Kumar Bhagat. Suraj Kumar Bhagat 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.
Enneya, Nourddine, et al.. (2025). Advanced machine learning models for robust prediction of water quality index and classification. Journal of Hydroinformatics. 27(2). 299–319. 8 indexed citations
2.
Bhagat, Suraj Kumar. (2025). Navigating the Challenges of Rainfall Variability: Precipitation Forecasting using Coalesce Model. Water Resources Management. 39(5). 2251–2280. 2 indexed citations
3.
Bhagat, Suraj Kumar, et al.. (2025). Forecasting short-term rainfall patterns in arid and semi-arid regions using machine learning and deep learning models: a case study from Morocco. Theoretical and Applied Climatology. 156(8). 2 indexed citations
4.
Onu, Chijioke Elijah, Chijioke Elijah Onu, Joseph Tagbo Nwabanne, et al.. (2025). Investigation of comparative machine learning models in effluent dephenolization process onto H3PO4-anchored corn cob. Results in Surfaces and Interfaces. 18. 100420–100420. 1 indexed citations
5.
Sridhar, M. A., M. Vinod Kumar, N. Nagaprasad, Suraj Kumar Bhagat, & Ramaswamy Krishnaraj. (2025). Microstructural and statistical analysis on mechanical performance of novel flattened end nylon fibre reinforced concrete. Scientific Reports. 15(1). 8483–8483. 1 indexed citations
6.
Bhagat, Suraj Kumar, Tiyasha Tiyasha, Mehdi Jamei, et al.. (2024). Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models. Neural Computing and Applications. 36(23). 14119–14150. 4 indexed citations
7.
Tiyasha, Tiyasha, et al.. (2023). Kosi-Ganga-River-Creek 35 years’ Additive Time Series and Seasonal Analysis Using Remote Sensing Data.. IOP Conference Series Earth and Environmental Science. 1216(1). 12004–12004. 3 indexed citations
8.
Babalola, Olusola Emmanuel, et al.. (2023). Numerical analysis of pile group, piled raft, and footing using finite element software PLAXIS 2D and GEO5. Scientific Reports. 13(1). 15875–15875. 9 indexed citations
9.
Bhagat, Suraj Kumar, Tiyasha Tiyasha, Zainab Al-Khafaji, et al.. (2022). Establishment of Dynamic Evolving Neural‐Fuzzy Inference System Model for Natural Air Temperature Prediction. Complexity. 2022(1). 14 indexed citations
10.
Bhagat, Suraj Kumar, Tiyasha Tiyasha, Adarsh Kumar, et al.. (2022). Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects. Journal of Environmental Management. 309. 114711–114711. 27 indexed citations
11.
Sharafati, Ahmad, N. K. Tiwari, Suraj Kumar Bhagat, et al.. (2021). Performance evaluation of sediment ejector efficiency using hybrid neuro-fuzzy models. Engineering Applications of Computational Fluid Mechanics. 15(1). 627–643. 19 indexed citations
12.
Bhagat, Suraj Kumar, Mustafa Al-Mukhtar, Tiyasha Tiyasha, et al.. (2021). Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models. Environmental Science and Pollution Research. 28(24). 31670–31688. 23 indexed citations
13.
Tiyasha, Tiyasha, Tran Minh Tung, Suraj Kumar Bhagat, et al.. (2021). Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models. Marine Pollution Bulletin. 170. 112639–112639. 78 indexed citations
14.
Cui, Fang, Sinan Q. Salih, Bahram Choubin, et al.. (2020). Newly explored machine learning model for river flow time series forecasting at Mary River, Australia. Environmental Monitoring and Assessment. 192(12). 761–761. 28 indexed citations
15.
Bhagat, Suraj Kumar, Tiyasha Tiyasha, Tran Minh Tung, Reham R. Mostafa, & Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬. (2020). Manganese (Mn) removal prediction using extreme gradient model. Ecotoxicology and Environmental Safety. 204. 111059–111059. 67 indexed citations
16.
Bhagat, Suraj Kumar, Tran Minh Tung, & Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬. (2020). Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia. Journal of Hazardous Materials. 403. 123492–123492. 117 indexed citations
17.
Bhagat, Suraj Kumar, Tiyasha Tiyasha, Salih Muhammad Awadh, et al.. (2020). Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models. Environmental Pollution. 268(Pt B). 115663–115663. 109 indexed citations
18.
Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Zaher Mundher, Tiyasha Tiyasha, Sinan Q. Salih, et al.. (2019). Laundry wastewater treatment using a combination of sand filter, bio-char and teff straw media. Scientific Reports. 9(1). 18709–18709. 51 indexed citations
19.
Bhagat, Suraj Kumar, Tiyasha Tiyasha, & Dawit Bekele. (2018). ECONOMICAL APPROACHES FOR THE TREATMENT ANDREUTILIZATION OF LAUNDRY WASTEWATER - A REVIEW. 34(2). 2164–2178. 14 indexed citations
20.
Bhagat, Suraj Kumar & Tiyasha Tiyasha. (2013). Impact Of Millions Of Tones Of Effluent Of Textile Industries: Analysis Of Textile Industries Effluents In Bhilwara And An Approach With Bioremediation. International Journal of ChemTech Research. 5(3). 1289–1298. 11 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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