Aasish Pappu
- Artificial Intelligence top 10%
- Topic Modeling 12
- Natural Language Processing Techniques 12
- Speech and dialogue systems 8
- Sentiment Analysis and Opinion Mining 4
- Multi-Agent Systems and Negotiation 3
- Hate Speech and Cyberbullying Detection 3
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- Web Data Mining and Analysis 3
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- Caching and Content Delivery 3
- Co-authors
- Alexander I. RudnickyJoel TetreaultCourtney NapolesAmanda StentKapil ThadaniRoi BlancoYashar MehdadJussi Karlgren
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (1 paper)Figshare (2 papers)Annual Meeting of the Special Interest Group on Discourse and Dialogue (2 papers)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Aasish Pappu
28 papers receiving 197 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 168
- Communication 31
- Information Systems 44
- Signal Processing 17
- Human-Computer Interaction 7
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
The 25 scholars most cited alongside Aasish Pappu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 4 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 34 | |
| 7 | TREC 2020 Podcasts Track Overview. | 2020 | 1 |
| 8 | 2020 | 4 | |
| 9 | 2019 | 7 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 31 | |
| 12 | 2015 | 5 | |
| 13 | 2014 | 11 | |
| 14 | 2014 | 4 | |
| 15 | Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases | 2013 | 4 |
| 16 | The Structure and Generality of Spoken Route Instructions | 2012 | 7 |
| 17 | Instruction Taking in the TeamTalk System | 2010 | 8 |
| 18 | Using Wikipedia for Hierarchical Finer Categorization of Named Entities | 2009 | 1 |
| 19 | Vaakkriti: Sanskrit Tokenizer | 2008 | 3 |
| 20 | 2006 | 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), Speech and dialogue systems (8 papers), Sentiment Analysis and Opinion Mining (4 papers), Multi-Agent Systems and Negotiation (3 papers), Caching and Content Delivery (3 papers), Hate Speech and Cyberbullying Detection (3 papers) and Web Data Mining and Analysis (3 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.