Siddhant Arora
- Artificial Intelligence top 10%
- Signal Processing
- Information Systems
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Co-authors
- Shinji WatanabeYifan PengXuankai ChangSiddharth DalmiaAlan W. BlackSujay V. KumarNgoc Thang VuYosuke Higuchi
- Topics
- Speech Recognition and Synthesis (21 papers)Natural Language Processing Techniques (16 papers)Topic Modeling (14 papers)
- Journals
- Journal of EngineeringInternational Journal of Microbiology ResearchProceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Siddhant Arora
33 papers receiving 178 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 165
- Signal Processing 40
- Information Systems 11
- Computer Vision and Pattern Recognition 9
- Experimental and Cognitive Psychology 4
Countries citing papers authored by Siddhant Arora
This map shows the geographic impact of Siddhant 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 Siddhant Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siddhant Arora more than expected).
Fields of papers citing papers by Siddhant Arora
This network shows the impact of papers produced by Siddhant 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 Siddhant Arora. The network helps show where Siddhant Arora may publish in the future.
Co-authorship network of co-authors of Siddhant Arora
This figure shows the co-authorship network connecting the top 25 collaborators of Siddhant Arora. A scholar is included among the top collaborators of Siddhant 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 Siddhant Arora. Siddhant 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 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | Understanding Community Rivalry on Social Media: A Case Study of Two Footballing Giants. | 0 |
About Siddhant Arora
Siddhant Arora is a scholar working on Computational Mathematics, Artificial Intelligence and Signal Processing, having authored 39 papers that have together received 185 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (14 papers). The work is most often cited by research in Artificial Intelligence (165 citations), Signal Processing (40 citations) and Computer Science Applications (3 citations). Siddhant Arora has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Shinji Watanabe, Yifan Peng, Xuankai Chang, Siddharth Dalmia, Alan W. Black, Sujay V. Kumar, Ngoc Thang Vu, Yosuke Higuchi, Jiatong Shi and Yuekai Zhang. Their work appears in journals such as Journal of Engineering, International Journal of Microbiology Research and Proceedings of the AAAI Conference on Artificial Intelligence.
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.