Siddharth Dalmia
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Physiology
- Co-authors
- David R. MortensenFlorian MetzeShinji WatanabePatrick LittellAlan W. BlackXinjian LiGraham NeubigJuncheng Li
- Topics
- Speech Recognition and Synthesis (19 papers)Natural Language Processing Techniques (16 papers)Topic Modeling (13 papers)
- Journals
- Language Resources and EvaluationIEEE/ACM Transactions on Audio Speech and Language ProcessingNPARC
- Partner nations
- United StatesJapanChina
In The Last Decade
Siddharth Dalmia
25 papers receiving 362 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 379
- Signal Processing 122
- Experimental and Cognitive Psychology 22
- Computer Vision and Pattern Recognition 17
- Physiology 8
Countries citing papers authored by Siddharth Dalmia
This map shows the geographic impact of Siddharth Dalmia'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 Siddharth Dalmia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siddharth Dalmia more than expected).
Fields of papers citing papers by Siddharth Dalmia
This network shows the impact of papers produced by Siddharth Dalmia. 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 Siddharth Dalmia. The network helps show where Siddharth Dalmia may publish in the future.
Co-authorship network of co-authors of Siddharth Dalmia
This figure shows the co-authorship network connecting the top 25 collaborators of Siddharth Dalmia. A scholar is included among the top collaborators of Siddharth Dalmia 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 Siddharth Dalmia. Siddharth Dalmia 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 | 0 | |
| 3 | 11 | |
| 4 | 18 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 73 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 15 | |
| 15 | 21 | |
| 16 | 60 | |
| 17 | 8 | |
| 18 | 10 | |
| 19 | Epitran: Precision G2P for Many Languages. | 48 |
| 20 | 4 |
About Siddharth Dalmia
Siddharth Dalmia is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 402 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (13 papers). The work is most often cited by research in Artificial Intelligence (379 citations), Signal Processing (122 citations) and Experimental and Cognitive Psychology (22 citations). Siddharth Dalmia has collaborated with scholars based in United States, Japan and China. Frequent co-authors include David R. Mortensen, Florian Metze, Shinji Watanabe, Patrick Littell, Alan W. Black, Xinjian Li, Graham Neubig, Juncheng Li, Clara E. Rivera and Alexis Conneau. Their work appears in journals such as Language Resources and Evaluation, IEEE/ACM Transactions on Audio Speech and Language Processing and NPARC.
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.