Nicholas Lourie
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Cognitive Neuroscience
- Sociology and Political Science
- Co-authors
- Jonathan HerzigJonathan BerantAlon TalmorYejin ChoiRonan Le BrasMark E NeumannJungo KasaiJonathan Bragg
- Topics
- Topic Modeling (4 papers)Natural Language Processing Techniques (3 papers)Multimodal Machine Learning Applications (2 papers)
- Journals
- Empirical Methods in Natural Language ProcessingarXiv (Cornell University)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesIsrael
In The Last Decade
Nicholas Lourie
5 papers receiving 277 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 267
- Computer Vision and Pattern Recognition 81
- Information Systems 17
- Cognitive Neuroscience 12
- Sociology and Political Science 10
Countries citing papers authored by Nicholas Lourie
This map shows the geographic impact of Nicholas Lourie'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 Nicholas Lourie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Lourie more than expected).
Fields of papers citing papers by Nicholas Lourie
This network shows the impact of papers produced by Nicholas Lourie. 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 Nicholas Lourie. The network helps show where Nicholas Lourie may publish in the future.
Co-authorship network of co-authors of Nicholas Lourie
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Lourie. A scholar is included among the top collaborators of Nicholas Lourie 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 Nicholas Lourie. Nicholas Lourie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 44 | |
| 3 | 1 | |
| 4 | 237 | |
| 5 | Writing Code for NLP Research | 2 |
About Nicholas Lourie
Nicholas Lourie is a scholar working on Applied Psychology, Artificial Intelligence and Cognitive Neuroscience, having authored 5 papers that have together received 294 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (267 citations), Computer Vision and Pattern Recognition (81 citations) and Health Informatics (5 citations). Nicholas Lourie has collaborated with scholars based in United States and Israel. Frequent co-authors include Jonathan Herzig, Jonathan Berant, Alon Talmor, Yejin Choi, Ronan Le Bras, Mark E Neumann, Jungo Kasai, Jonathan Bragg, Gabriel Stanovsky and Daniel S. Weld. Their work appears in journals such as Empirical Methods in Natural Language Processing, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.