Ajay J. Joshi
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- Fatih PorikliNikolaos PapanikolopoulosNikos PapanikolopoulosOsama MasoudJeffrey A. DavisStefan AtevGerald G LopezAmol R. Nimbalkar
- Topics
- Video Surveillance and Tracking Methods (6 papers)Advanced Image and Video Retrieval Techniques (6 papers)Machine Learning and Algorithms (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceComputer Vision and Image UnderstandingIEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Partner nations
- United StatesJapan
In The Last Decade
Ajay J. Joshi
12 papers receiving 706 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 443
- Computer Vision and Pattern Recognition 399
- Media Technology 62
- Electrical and Electronic Engineering 50
- Computer Networks and Communications 48
Countries citing papers authored by Ajay J. Joshi
This map shows the geographic impact of Ajay J. Joshi'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 Ajay J. Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay J. Joshi more than expected).
Fields of papers citing papers by Ajay J. Joshi
This network shows the impact of papers produced by Ajay J. Joshi. 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 Ajay J. Joshi. The network helps show where Ajay J. Joshi may publish in the future.
Co-authorship network of co-authors of Ajay J. Joshi
This figure shows the co-authorship network connecting the top 25 collaborators of Ajay J. Joshi. A scholar is included among the top collaborators of Ajay J. Joshi 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 Ajay J. Joshi. Ajay J. Joshi 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 | 6 | |
| 3 | 99 | |
| 4 | 24 | |
| 5 | 11 | |
| 6 | 15 | |
| 7 | Multi-class active learning for image classificationbreakdown → | 352 |
| 8 | 1 | |
| 9 | 68 | |
| 10 | 10 | |
| 11 | 13 | |
| 12 | 32 | |
| 13 | 93 | |
| 14 | 13 |
About Ajay J. Joshi
Ajay J. Joshi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 14 papers that have together received 738 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (399 citations), Artificial Intelligence (443 citations) and Media Technology (62 citations). Ajay J. Joshi has collaborated with scholars based in United States and Japan. Frequent co-authors include Fatih Porikli, Nikolaos Papanikolopoulos, Nikos Papanikolopoulos, Osama Masoud, Jeffrey A. Davis, Stefan Atev, Fatih Porikli, Gerald G Lopez and Amol R. Nimbalkar. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and IEEE Transactions on Very Large Scale Integration (VLSI) 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.