Amit Pramanik
- Industrial and Manufacturing Engineering top 1%
- Water Science and Technology top 5%
- Pollution top 5%
- Environmental Engineering top 10%
- Biomedical Engineering
- Co-authors
- Pay DrechselBlanca JiménezYounggy KimManzoor QadirSteven J. SkerlosGlen T. DaiggerMark C.M. van LoosdrechtDaniel H. Yeh
- Topics
- Wastewater Treatment and Nitrogen Removal (7 papers)Quantum-Dot Cellular Automata (7 papers)Advanced Memory and Neural Computing (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyGastroenterology
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Amit Pramanik
24 papers receiving 872 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Industrial and Manufacturing Engineering 440
- Water Science and Technology 390
- Pollution 156
- Environmental Engineering 120
- Biomedical Engineering 113
Countries citing papers authored by Amit Pramanik
This map shows the geographic impact of Amit Pramanik'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 Amit Pramanik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Pramanik more than expected).
Fields of papers citing papers by Amit Pramanik
This network shows the impact of papers produced by Amit Pramanik. 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 Amit Pramanik. The network helps show where Amit Pramanik may publish in the future.
Co-authorship network of co-authors of Amit Pramanik
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Pramanik. A scholar is included among the top collaborators of Amit Pramanik 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 Amit Pramanik. Amit Pramanik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 23 | |
| 19 | 1 | |
| 20 | Effect of garlic pearls (Ranbaxy) on blood cholesterol level in normal dogs. | 4 |
About Amit Pramanik
Amit Pramanik is a scholar working on Industrial and Manufacturing Engineering, Pollution and Computational Theory and Mathematics, having authored 26 papers that have together received 904 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (7 papers), Quantum-Dot Cellular Automata (7 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (440 citations), Water Science and Technology (390 citations) and Pollution (156 citations). Amit Pramanik has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Pay Drechsel, Blanca Jiménez, Younggy Kim, Manzoor Qadir, Steven J. Skerlos, Glen T. Daigger, Mark C.M. van Loosdrecht, Daniel H. Yeh, Helene Hilger and Nancy G. Love. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Gastroenterology.
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.