Aasish Pappu
- Artificial Intelligence top 10%
- Information Systems
- Communication
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Alexander I. RudnickyJoel TetreaultCourtney NapolesAmanda StentKapil ThadaniRoi BlancoYashar MehdadJussi Karlgren
- Topics
- Topic Modeling (12 papers)Natural Language Processing Techniques (12 papers)Speech and dialogue systems (8 papers)
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsFigshareAnnual Meeting of the Special Interest Group on Discourse and Dialogue
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Aasish Pappu
28 papers receiving 197 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 168
- Information Systems 44
- Communication 31
- Sociology and Political Science 20
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Aasish Pappu
This map shows the geographic impact of Aasish Pappu'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 Aasish Pappu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aasish Pappu more than expected).
Fields of papers citing papers by Aasish Pappu
This network shows the impact of papers produced by Aasish Pappu. 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 Aasish Pappu. The network helps show where Aasish Pappu may publish in the future.
Co-authorship network of co-authors of Aasish Pappu
This figure shows the co-authorship network connecting the top 25 collaborators of Aasish Pappu. A scholar is included among the top collaborators of Aasish Pappu 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 Aasish Pappu. Aasish Pappu 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 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 34 | |
| 7 | TREC 2020 Podcasts Track Overview. | 1 |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 31 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases | 4 |
| 16 | The Structure and Generality of Spoken Route Instructions | 7 |
| 17 | Instruction Taking in the TeamTalk System | 8 |
| 18 | Using Wikipedia for Hierarchical Finer Categorization of Named Entities | 1 |
| 19 | Vaakkriti: Sanskrit Tokenizer | 3 |
| 20 | 1 |
About Aasish Pappu
Aasish Pappu is a scholar working on Artificial Intelligence, Communication and Computer Science Applications, having authored 29 papers that have together received 217 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Artificial Intelligence (168 citations), Communication (31 citations) and Information Systems (44 citations). Aasish Pappu has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Alexander I. Rudnicky, Joel Tetreault, Courtney Napoles, Amanda Stent, Kapil Thadani, Roi Blanco, Yashar Mehdad, Jussi Karlgren, Ben Carterette and Rosie Jones. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Figshare and Annual Meeting of the Special Interest Group on Discourse and Dialogue.
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.