Nicolas Nicolov
- Artificial Intelligence top 5%
- Information Systems top 10%
- Sociology and Political Science
- Statistical and Nonlinear Physics
- Human-Computer Interaction
- Co-authors
- Jason S. KesslerJoyce ChaiWlodek ZadroznyNanda KambhatlaNandakishore KambhatlaMiriam EckertMichael C. MozerGraéme Ritchie
- Topics
- Speech and dialogue systems (10 papers)Topic Modeling (9 papers)Natural Language Processing Techniques (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Nicolas Nicolov
17 papers receiving 206 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 210
- Information Systems 58
- Sociology and Political Science 22
- Statistical and Nonlinear Physics 15
- Human-Computer Interaction 14
Countries citing papers authored by Nicolas Nicolov
This map shows the geographic impact of Nicolas Nicolov'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 Nicolas Nicolov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Nicolov more than expected).
Fields of papers citing papers by Nicolas Nicolov
This network shows the impact of papers produced by Nicolas Nicolov. 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 Nicolas Nicolov. The network helps show where Nicolas Nicolov may publish in the future.
Co-authorship network of co-authors of Nicolas Nicolov
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Nicolov. A scholar is included among the top collaborators of Nicolas Nicolov 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 Nicolas Nicolov. Nicolas Nicolov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The ICWSM 2010 JDPA Sentiment Corpus for the Automotive Domain | 23 |
| 2 | 56 | |
| 3 | 16 | |
| 4 | 18 | |
| 5 | TEXT SPEECH LANG TECHNOL | 1 |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | Natural Language Sales Assistant - A Web-Based Dialog System for Online Sales | 20 |
| 14 | DMML: An XML Language for Interacting with Multi-Modal Dialog Systems | 1 |
| 15 | 30 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 15 |
About Nicolas Nicolov
Nicolas Nicolov is a scholar working on Artificial Intelligence, General Social Sciences and Human-Computer Interaction, having authored 18 papers that have together received 245 indexed citations. Recurring topics across this work include Speech and dialogue systems (10 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (210 citations), Information Systems (58 citations) and Human-Computer Interaction (14 citations). Nicolas Nicolov has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jason S. Kessler, Joyce Chai, Wlodek Zadrozny, Nanda Kambhatla, Nandakishore Kambhatla, Miriam Eckert, Michael C. Mozer, Graéme Ritchie, Dan Knights and Chris Mellish. Their work appears in journals such as Communications of the ACM, Computational Linguistics and AI Magazine.
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.