Jyoti Joshi
- Experimental and Cognitive Psychology top 1%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Social Psychology top 5%
- Co-authors
- Roland GoeckeAbhinav DhallTom GedeonJesse HoeyKaran SikkaMichael WagnerO.V. Ramana MurthyGordon Parker
- Topics
- Emotion and Mood Recognition (22 papers)Human Pose and Action Recognition (9 papers)Face recognition and analysis (8 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionSignal Processing
- Journals
- SHILAP Revista de lepidopterologíaJournal on Multimodal User InterfacesJMIR Formative Research
In The Last Decade
Jyoti Joshi
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Experimental and Cognitive Psychology 1.0k
- Computer Vision and Pattern Recognition 763
- Artificial Intelligence 244
- Cognitive Neuroscience 233
- Social Psychology 219
Countries citing papers authored by Jyoti Joshi
This map shows the geographic impact of Jyoti 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 Jyoti Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyoti Joshi more than expected).
Fields of papers citing papers by Jyoti Joshi
This network shows the impact of papers produced by Jyoti 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 Jyoti Joshi. The network helps show where Jyoti Joshi may publish in the future.
Co-authorship network of co-authors of Jyoti Joshi
This figure shows the co-authorship network connecting the top 25 collaborators of Jyoti Joshi. A scholar is included among the top collaborators of Jyoti 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 Jyoti Joshi. Jyoti 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 | 2 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | Movie Recommender System using Genetic Algorithm | 1 |
| 7 | 110 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 218 | |
| 11 | 67 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 131 | |
| 15 | 10 | |
| 16 | 104 | |
| 17 | 133 | |
| 18 | Proceedings of the 2013 on Emotion recognition in the wild challenge and workshop | 2 |
| 19 | 9 | |
| 20 | Neural-net classification for spatio-temporal descriptor based depression analysis | 30 |
About Jyoti Joshi
Jyoti Joshi is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (22 papers), Human Pose and Action Recognition (9 papers) and Face recognition and analysis (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.0k citations), Computer Vision and Pattern Recognition (763 citations) and Signal Processing (177 citations). Jyoti Joshi has collaborated with scholars based in Australia, India and Canada. Frequent co-authors include Roland Goecke, Abhinav Dhall, Tom Gedeon, Jesse Hoey, Karan Sikka, Michael Wagner, O.V. Ramana Murthy, Gordon Parker, Michael Breakspear and Julien Epps. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal on Multimodal User Interfaces and JMIR Formative Research.
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.