Ashish Jaiswal
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 5%
- Human-Computer Interaction top 5%
- Signal Processing top 10%
- Co-authors
- Fillia MakedonHarish Ram NambiappanChristos SevastopoulosMaria KyrariniAshwin Ramesh BabuGlenn R. WylieVishal DiwanManju Purohit
- Topics
- Human Pose and Action Recognition (5 papers)Sleep and Work-Related Fatigue (3 papers)Hand Gesture Recognition Systems (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaGeriatricsMDPI (MDPI AG)
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Ashish Jaiswal
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Artificial Intelligence 535
- Computer Vision and Pattern Recognition 413
- Information Systems 125
- Human-Computer Interaction 121
- Signal Processing 78
Countries citing papers authored by Ashish Jaiswal
This map shows the geographic impact of Ashish Jaiswal'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 Ashish Jaiswal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Jaiswal more than expected).
Fields of papers citing papers by Ashish Jaiswal
This network shows the impact of papers produced by Ashish Jaiswal. 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 Ashish Jaiswal. The network helps show where Ashish Jaiswal may publish in the future.
Co-authorship network of co-authors of Ashish Jaiswal
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Jaiswal. A scholar is included among the top collaborators of Ashish Jaiswal 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 Ashish Jaiswal. Ashish Jaiswal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | A Survey on Contrastive Self-Supervised Learningbreakdown → | 942 |
| 10 | 15 | |
| 11 | 169 | |
| 12 | 7 | |
| 13 | 21 | |
| 14 | 8 | |
| 15 | Impact of Training Programme on Adoption of Organic Farming Technology in Central Zone | 1 |
| 16 | Fuzzy Association Rule Mining Algorithm to Generate Candidate Cluster: An Approach to Hierarchical Document Clustering | 1 |
| 17 | Hierarchical Document Clustering: A Review | 6 |
About Ashish Jaiswal
Ashish Jaiswal is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Sleep and Work-Related Fatigue (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (121 citations), Computer Vision and Pattern Recognition (413 citations) and Artificial Intelligence (535 citations). Ashish Jaiswal has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Fillia Makedon, Harish Ram Nambiappan, Christos Sevastopoulos, Maria Kyrarini, Ashwin Ramesh Babu, Glenn R. Wylie, Vishal Diwan, Manju Purohit, Mats Hallgren and Vinod Diwan. Their work appears in journals such as SHILAP Revista de lepidopterología, Geriatrics and MDPI (MDPI AG).
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.