Saksham Jain
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Girish KumarUmang SoniRagunathan RajkumarShige WangR. DrisR. NiskanenAbid Ali KhanHolly Hauptli
- Topics
- Postharvest Quality and Shelf Life Management (2 papers)Sparse and Compressive Sensing Techniques (1 paper)Marine animal studies overview (1 paper)
- Cited by
- Industrial and Manufacturing EngineeringHardware and ArchitectureComputer Vision and Pattern Recognition
- Partner nations
- IndiaUnited States
In The Last Decade
Saksham Jain
16 papers receiving 284 citations
Peers
Comparison fields: 5 of 86
- Industrial and Manufacturing Engineering 119
- Computer Vision and Pattern Recognition 74
- Mechanical Engineering 62
- Electrical and Electronic Engineering 44
- Artificial Intelligence 34
Countries citing papers authored by Saksham Jain
This map shows the geographic impact of Saksham Jain'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 Saksham Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saksham Jain more than expected).
Fields of papers citing papers by Saksham Jain
This network shows the impact of papers produced by Saksham Jain. 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 Saksham Jain. The network helps show where Saksham Jain may publish in the future.
Co-authorship network of co-authors of Saksham Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Saksham Jain. A scholar is included among the top collaborators of Saksham Jain 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 Saksham Jain. Saksham Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images | 0 |
| 10 | 185 | |
| 11 | 48 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | The Lathyrus paradox: a "poor man's diet" or a remarkable genetic resource for protein legume breeding? | 2 |
| 15 | Crop management and postharvest handling of horticultural products. Volume IV: Diseases and disorders of fruits and vegetables. | 8 |
| 16 | Crop management and postharvest handling of horticultural products. Volume II: Fruits and vegetables. | 6 |
| 17 | Crop management and postharvest handling of horticultural products. Volume 1 - quality management. | 2 |
| 18 | Amaranth and meadowfoam: Two new crops? | 5 |
About Saksham Jain
Saksham Jain is a scholar working on Developmental Biology, Computer Graphics and Computer-Aided Design and Forestry, having authored 18 papers that have together received 296 indexed citations. Recurring topics across this work include Postharvest Quality and Shelf Life Management (2 papers), Sparse and Compressive Sensing Techniques (1 paper) and Marine animal studies overview (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (119 citations), Hardware and Architecture (29 citations) and Computer Vision and Pattern Recognition (74 citations). Saksham Jain has collaborated with scholars based in India and United States. Frequent co-authors include Girish Kumar, Umang Soni, Ragunathan Rajkumar, Shige Wang, R. Dris, R. Niskanen, Abid Ali Khan, Holly Hauptli, S. Wadhwa and Rashmi Mathur. Their work appears in journals such as Journal of Intelligent Manufacturing, Developmental Neuroscience and Algorithmica.
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.