Hrishikesh Aradhye
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Gregory MyersJames F. DavisBhavik R. BakshiGeorge TodericiJay YagnikLuciano SbaizMarius PaşcaQuang-Tuan Luong
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Video Analysis and Summarization (10 papers)Handwritten Text Recognition Techniques (6 papers)
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
Hrishikesh Aradhye
21 papers receiving 361 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 220
- Artificial Intelligence 118
- Control and Systems Engineering 92
- Information Systems 87
- Signal Processing 58
Countries citing papers authored by Hrishikesh Aradhye
This map shows the geographic impact of Hrishikesh Aradhye'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 Hrishikesh Aradhye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hrishikesh Aradhye more than expected).
Fields of papers citing papers by Hrishikesh Aradhye
This network shows the impact of papers produced by Hrishikesh Aradhye. 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 Hrishikesh Aradhye. The network helps show where Hrishikesh Aradhye may publish in the future.
Co-authorship network of co-authors of Hrishikesh Aradhye
This figure shows the co-authorship network connecting the top 25 collaborators of Hrishikesh Aradhye. A scholar is included among the top collaborators of Hrishikesh Aradhye 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 Hrishikesh Aradhye. Hrishikesh Aradhye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 66 | |
| 5 | 42 | |
| 6 | 2 | |
| 7 | 69 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 38 | |
| 12 | 23 | |
| 13 | 3 | |
| 14 | 75 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | Anomaly Detection Using Multiscale Methods | 2 |
| 19 | 5 | |
| 20 | 2 |
About Hrishikesh Aradhye
Hrishikesh Aradhye is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 21 papers that have together received 401 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Video Analysis and Summarization (10 papers) and Handwritten Text Recognition Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (220 citations), Signal Processing (58 citations) and Control and Systems Engineering (92 citations). Hrishikesh Aradhye has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Gregory Myers, James F. Davis, Bhavik R. Bakshi, George Toderici, Jay Yagnik, Luciano Sbaiz, Marius Paşca, Quang-Tuan Luong, Robert C. Bolles and Mehmet Emre Sargin. Their work appears in journals such as AIChE Journal, Pattern Recognition and Annual Reviews in Control.
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.