K. N. Shukla
- Renewable Energy, Sustainability and the Environment top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Pollution top 10%
- Co-authors
- Saroj RangnekarK. SudhakarGeetam RichhariyaAkash ShuklaAnshul AwasthiDeepak PorwalAnil KumarB.C. Meikap
- Topics
- Photovoltaic System Optimization Techniques (8 papers)Solar Thermal and Photovoltaic Systems (8 papers)Solar Radiation and Photovoltaics (7 papers)
In The Last Decade
K. N. Shukla
15 papers receiving 675 citations
Peers
Comparison fields: 5 of 60
- Renewable Energy, Sustainability and the Environment 435
- Artificial Intelligence 317
- Electrical and Electronic Engineering 183
- Mechanical Engineering 114
- Pollution 75
Countries citing papers authored by K. N. Shukla
This map shows the geographic impact of K. N. Shukla'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 K. N. Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. N. Shukla more than expected).
Fields of papers citing papers by K. N. Shukla
This network shows the impact of papers produced by K. N. Shukla. 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 K. N. Shukla. The network helps show where K. N. Shukla may publish in the future.
Co-authorship network of co-authors of K. N. Shukla
This figure shows the co-authorship network connecting the top 25 collaborators of K. N. Shukla. A scholar is included among the top collaborators of K. N. Shukla 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 K. N. Shukla. K. N. Shukla 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 | 12 | |
| 3 | 28 | |
| 4 | 295 | |
| 5 | 84 | |
| 6 | 44 | |
| 7 | 35 | |
| 8 | Estimation and Validation of Solar Radiation Incident on Horizontal and Tilted Surface at Bhopal, Madhya Pradesh, India | 11 |
| 9 | 126 | |
| 10 | Experimental Exergetic Performance Evaluation of Solar PV Module | 17 |
| 11 | 24 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 1 |
About K. N. Shukla
K. N. Shukla is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Aerospace Engineering, having authored 16 papers that have together received 696 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (8 papers), Solar Thermal and Photovoltaic Systems (8 papers) and Solar Radiation and Photovoltaics (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (435 citations), Energy Engineering and Power Technology (68 citations) and Artificial Intelligence (317 citations). K. N. Shukla has collaborated with scholars based in India and Thailand. Frequent co-authors include Saroj Rangnekar, K. Sudhakar, Geetam Richhariya, Akash Shukla, Anshul Awasthi, Deepak Porwal, Anil Kumar, B.C. Meikap and G. D. Shukla. Their work appears in journals such as Journal of Power Sources, AIAA Journal and Journal of Electronic Materials.
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.