Pradeep Dasigi
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Molecular Biology
- Language and Linguistics
- Co-authors
- Matt GardnerJayant KrishnamurthyDheeru DuaGabriel StanovskyYizhong WangSameer SinghMona DiabEduard Hovy
- Topics
- Topic Modeling (17 papers)Natural Language Processing Techniques (16 papers)Multimodal Machine Learning Applications (6 papers)
- Journals
- Language Resources and EvaluationDatabaseMeeting of the Association for Computational Linguistics
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Pradeep Dasigi
21 papers receiving 516 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 527
- Computer Vision and Pattern Recognition 166
- Information Systems 62
- Molecular Biology 13
- Language and Linguistics 13
Countries citing papers authored by Pradeep Dasigi
This map shows the geographic impact of Pradeep Dasigi'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 Pradeep Dasigi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Dasigi more than expected).
Fields of papers citing papers by Pradeep Dasigi
This network shows the impact of papers produced by Pradeep Dasigi. 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 Pradeep Dasigi. The network helps show where Pradeep Dasigi may publish in the future.
Co-authorship network of co-authors of Pradeep Dasigi
This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Dasigi. A scholar is included among the top collaborators of Pradeep Dasigi 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 Pradeep Dasigi. Pradeep Dasigi 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 | 3 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 32 | |
| 6 | 48 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 170 | |
| 10 | 21 | |
| 11 | 10 | |
| 12 | 121 | |
| 13 | 9 | |
| 14 | Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon | 20 |
| 15 | Modeling Newswire Events using Neural Networks for Anomaly Detection | 10 |
| 16 | Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition | 6 |
| 17 | Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics | 9 |
| 18 | 4 | |
| 19 | 12 | |
| 20 | 0 |
About Pradeep Dasigi
Pradeep Dasigi is a scholar working on Artificial Intelligence, Human Factors and Ergonomics and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 558 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (527 citations), Computer Vision and Pattern Recognition (166 citations) and Information Systems (62 citations). Pradeep Dasigi has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Matt Gardner, Jayant Krishnamurthy, Dheeru Dua, Gabriel Stanovsky, Yizhong Wang, Sameer Singh, Mona Diab, Eduard Hovy, Arman Cohan and Kyle Lo. Their work appears in journals such as Language Resources and Evaluation, Database and Meeting of the Association for Computational Linguistics.
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.