Manish Kumar Saini
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Electronic, Optical and Magnetic Materials
- Co-authors
- Rajiv KapoorAnand NayyarBasit QureshiKuldeep K. SaxenaAnkur JainRochan UpadhyayMonica SharmaJ.S. Saini
- Topics
- Power Quality and Harmonics (18 papers)Power Transformer Diagnostics and Insulation (14 papers)Machine Fault Diagnosis Techniques (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessInternational Journal of Electrical Power & Energy Systems
In The Last Decade
Manish Kumar Saini
50 papers receiving 508 citations
Peers
Comparison fields: 5 of 87
- Electrical and Electronic Engineering 372
- Control and Systems Engineering 208
- Artificial Intelligence 50
- Computer Vision and Pattern Recognition 45
- Electronic, Optical and Magnetic Materials 41
Countries citing papers authored by Manish Kumar Saini
This map shows the geographic impact of Manish Kumar Saini'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 Manish Kumar Saini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Kumar Saini more than expected).
Fields of papers citing papers by Manish Kumar Saini
This network shows the impact of papers produced by Manish Kumar Saini. 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 Manish Kumar Saini. The network helps show where Manish Kumar Saini may publish in the future.
Co-authorship network of co-authors of Manish Kumar Saini
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Kumar Saini. A scholar is included among the top collaborators of Manish Kumar Saini 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 Manish Kumar Saini. Manish Kumar Saini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 67 | |
| 7 | Recent Trends in Tourism Development in Rajasthan | 2 |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | Recognition of Multiple PQ Issues using Modified EMD and Neural Network Classifier | 4 |
| 12 | Frequency Management Strategies for Local Power Generation Network | 4 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 6 |
About Manish Kumar Saini
Manish Kumar Saini is a scholar working on Drug Discovery, Control and Systems Engineering and Complementary and alternative medicine, having authored 62 papers that have together received 549 indexed citations. Recurring topics across this work include Power Quality and Harmonics (18 papers), Power Transformer Diagnostics and Insulation (14 papers) and Machine Fault Diagnosis Techniques (12 papers). The work is most often cited by research in Drug Discovery (2 citations), Control and Systems Engineering (208 citations) and Electrical and Electronic Engineering (372 citations). Manish Kumar Saini has collaborated with scholars based in India, Yemen and Vietnam. Frequent co-authors include Rajiv Kapoor, Anand Nayyar, Basit Qureshi, Kuldeep K. Saxena, Ankur Jain, Rochan Upadhyay, Monica Sharma, J.S. Saini, Seema Kapoor and Gaurav Malik. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Electrical Power & Energy Systems.
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.