Amit Saxena
- Artificial Intelligence top 10%
- Neural Networks and Applications 3
- Information Systems top 10%
- Cloud Computing and Resource Management 3
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- Advanced Image and Video Retrieval Techniques 5
- Image Retrieval and Classification Techniques 3
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- Low-power high-performance VLSI design 4
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- Online and Blended Learning 3
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- Experimental Learning in Engineering 3
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- Rangeland and Wildlife Management 3
- Co-authors
- Mukesh PrasadChin‐Teng LinKshitij ShinghalY. SahaiAshish SainiNajma Zaheer BaquerPoonam SrivastavaJagendra Singh
- Journals
- Expert Systems with Applications (1 paper)Journal of Environmental Management (1 paper)European Journal of Pharmacology (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Amit Saxena
68 papers receiving 485 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 112
- Information Systems 76
- Computer Vision and Pattern Recognition 62
- Signal Processing 26
- Safety, Risk, Reliability and Quality 22
Countries citing papers authored by Amit Saxena
This map shows the geographic impact of Amit Saxena'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 Saxena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Saxena more than expected).
Fields of papers citing papers by Amit Saxena
This network shows the impact of papers produced by Amit Saxena. 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 Saxena. The network helps show where Amit Saxena may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amit Saxena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 16 | |
| 7 | 2019 | 3 | |
| 8 | 2017 | 0 | |
| 9 | 2015 | 3 | |
| 10 | 2015 | 0 | |
| 11 | 2014 | 2 | |
| 12 | Unilateral four heads of sternocleidomastoid muscle: a rare case report | 2013 | 1 |
| 13 | Designs for Simultaneous Renewal in University- Public School Partnerships: Hitting the "Sweet Spot" | 2012 | 14 |
| 14 | 2012 | 8 | |
| 15 | 2002 | 29 | |
| 16 | 2002 | 14 | |
| 17 | 1996 | 1 | |
| 18 | 1993 | 1 | |
| 19 | Optical glass: its manufacture in India — a historical perspective | 1991 | 1 |
| 20 | Heat transfer and flow characteristics of cooling channels in turbine blades | 1988 | 1 |
About Amit Saxena
Amit Saxena is a scholar working on Health Informatics, Media Technology and Signal Processing, having authored 82 papers that have together received 537 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Low-power high-performance VLSI design (4 papers), Image Retrieval and Classification Techniques (3 papers), Neural Networks and Applications (3 papers), Online and Blended Learning (3 papers), Experimental Learning in Engineering (3 papers), Cloud Computing and Resource Management (3 papers) and Rangeland and Wildlife Management (3 papers). The work is most often cited by research in Artificial Intelligence (112 citations), Information Systems (76 citations) and Computer Vision and Pattern Recognition (62 citations). Amit Saxena has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Mukesh Prasad, Chin‐Teng Lin, Kshitij Shinghal, Y. Sahai, Ashish Saini, Najma Zaheer Baquer, Poonam Srivastava, Jagendra Singh, Quinn E. Barber and Marc‐André Parisien. Their work appears in journals such as Expert Systems with Applications, Journal of Environmental Management and European Journal of Pharmacology.
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.