Ashish Arora
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Signal Processing
- Epidemiology
- Co-authors
- Aditya NigamAmit SethiNeeraj KumarAbhay KumarRuchika VermaPeter H. GannVinod SharmaDaniel Povey
- Topics
- Natural Language Processing Techniques (5 papers)Speech Recognition and Synthesis (4 papers)Handwritten Text Recognition Techniques (2 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaImage and Vision Computing
- Partner nations
- United StatesIndiaIran
In The Last Decade
Ashish Arora
11 papers receiving 79 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 41
- Computer Vision and Pattern Recognition 33
- Radiology, Nuclear Medicine and Imaging 20
- Signal Processing 19
- Epidemiology 16
Countries citing papers authored by Ashish Arora
This map shows the geographic impact of Ashish Arora'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 Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Arora more than expected).
Fields of papers citing papers by Ashish Arora
This network shows the impact of papers produced by Ashish Arora. 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 Arora. The network helps show where Ashish Arora may publish in the future.
Co-authorship network of co-authors of Ashish Arora
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Arora. A scholar is included among the top collaborators of Ashish Arora 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 Arora. Ashish Arora 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 | 5 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries. | 2 |
| 10 | 29 | |
| 11 | Use of tenecteplase for left-sided prosthetic valve thrombosis. | 9 |
| 12 | 0 |
About Ashish Arora
Ashish Arora is a scholar working on Internal Medicine, Signal Processing and Artificial Intelligence, having authored 12 papers that have together received 83 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Speech Recognition and Synthesis (4 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Signal Processing (19 citations), Computer Vision and Pattern Recognition (33 citations) and Artificial Intelligence (41 citations). Ashish Arora has collaborated with scholars based in United States, India and Iran. Frequent co-authors include Aditya Nigam, Amit Sethi, Neeraj Kumar, Abhay Kumar, Ruchika Verma, Peter H. Gann, Vinod Sharma, Daniel Povey, L.C. Gupta and Sanjeev Khudanpur. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Image and Vision Computing.
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.