Naresh Kedam
- Environmental Engineering top 10%
- Global and Planetary Change top 10%
- Water Science and Technology top 10%
- Mechanical Engineering
- Plant Science
- Co-authors
- Vijendra KumarKul Vaibhav SharmaTommaso CaloieroDarshan MehtaKhaled Mohamed KhedherUpaka RathnayakeMohamed Abdelaziz SalemAyed Eid Alluqmani
- Topics
- Hydrological Forecasting Using AI (6 papers)Heat Transfer and Optimization (5 papers)Heat Transfer Mechanisms (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Thermal EngineeringSustainability
In The Last Decade
Naresh Kedam
11 papers receiving 349 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Environmental Engineering 146
- Global and Planetary Change 116
- Water Science and Technology 110
- Mechanical Engineering 58
- Plant Science 45
Countries citing papers authored by Naresh Kedam
This map shows the geographic impact of Naresh Kedam'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 Naresh Kedam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naresh Kedam more than expected).
Fields of papers citing papers by Naresh Kedam
This network shows the impact of papers produced by Naresh Kedam. 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 Naresh Kedam. The network helps show where Naresh Kedam may publish in the future.
Co-authorship network of co-authors of Naresh Kedam
This figure shows the co-authorship network connecting the top 25 collaborators of Naresh Kedam. A scholar is included among the top collaborators of Naresh Kedam 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 Naresh Kedam. Naresh Kedam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 18 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | A comprehensive review on smart and sustainable agriculture using IoT technologiesbreakdown → | 80 |
| 9 | 33 | |
| 10 | Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Modelsbreakdown → | 136 |
| 11 | 38 | |
| 12 | 18 | |
| 13 | 0 | |
| 14 | 35 |
About Naresh Kedam
Naresh Kedam is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 14 papers that have together received 375 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (6 papers), Heat Transfer and Optimization (5 papers) and Heat Transfer Mechanisms (5 papers). The work is most often cited by research in Environmental Engineering (146 citations), Water Science and Technology (110 citations) and Global and Planetary Change (116 citations). Naresh Kedam has collaborated with scholars based in Russia, India and China. Frequent co-authors include Vijendra Kumar, Kul Vaibhav Sharma, Tommaso Caloiero, Darshan Mehta, Khaled Mohamed Khedher, Upaka Rathnayake, Mohamed Abdelaziz Salem, Ayed Eid Alluqmani, Özgür Kişi and Saleh Alsulamy. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Thermal Engineering and Sustainability.
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.