Suraj Kumar Bhagat
- Water Science and Technology top 2%
- Environmental Engineering top 2%
- Artificial Intelligence top 5%
- Industrial and Manufacturing Engineering top 5%
- Pollution top 5%
- Co-authors
- Zaher Mundher YaseenTran Minh TungTiyasha TiyashaAli H. JawadSinan Q. SalihNadhir Al‐AnsariKonstantina PyrgakiSalih Muhammad Awadh
- Topics
- Hydrological Forecasting Using AI (13 papers)Water Quality and Pollution Assessment (5 papers)Water Quality Monitoring and Analysis (5 papers)
In The Last Decade
Suraj Kumar Bhagat
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Water Science and Technology 506
- Environmental Engineering 422
- Artificial Intelligence 202
- Industrial and Manufacturing Engineering 176
- Pollution 147
Countries citing papers authored by Suraj Kumar Bhagat
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | 19 | |
| 12 | 23 | |
| 13 | 78 | |
| 14 | 67 | |
| 15 | 117 | |
| 16 | 109 | |
| 17 | 28 | |
| 18 | 51 | |
| 19 | ECONOMICAL APPROACHES FOR THE TREATMENT ANDREUTILIZATION OF LAUNDRY WASTEWATER - A REVIEW | 14 |
| 20 | Impact Of Millions Of Tones Of Effluent Of Textile Industries: Analysis Of Textile Industries Effluents In Bhilwara And An Approach With Bioremediation | 11 |
About Suraj Kumar Bhagat
Suraj Kumar Bhagat is a scholar working on Environmental Engineering, Water Science and Technology and Industrial and Manufacturing Engineering, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (13 papers), Water Quality and Pollution Assessment (5 papers) and Water Quality Monitoring and Analysis (5 papers). The work is most often cited by research in Water Science and Technology (506 citations), Environmental Engineering (422 citations) and Industrial and Manufacturing Engineering (176 citations). Suraj Kumar Bhagat has collaborated with scholars based in Vietnam, India and Iraq. Frequent 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. Their work appears in journals such as Journal of Hazardous Materials, Journal of Cleaner Production and Scientific Reports.
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.