Eric Nichols
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Signal Processing top 10%
- Music and Audio Processing
Papers in
-
- Topic Modeling 25
- Natural Language Processing Techniques 18
- AI in Service Interactions 9
- Semantic Web and Ontologies 7
- Advanced Text Analysis Techniques 7
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- Music Technology and Sound Studies 8
- Co-authors
- Nut Limsopatham (1 shared paper)Marieke van Erp (1 shared paper)Leon Derczynski (1 shared paper)Francis Bond (10 shared papers)Nazmul Siddique (2 shared papers)Liam McDaid (2 shared papers)Randy Gómez (20 shared papers)Christopher Raphael (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)mBio (1 paper)Water Science & Technology (1 paper)Journal of Diabetes Science and Technology (1 paper)Machine Translation (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eric Nichols
60 papers receiving 751 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 527
- Signal Processing 78
- Computer Vision and Pattern Recognition 135
- Cognitive Neuroscience 65
- Molecular Medicine 14
Countries citing papers authored by Eric Nichols
This map shows the geographic impact of Eric Nichols'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 Eric Nichols with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Nichols more than expected).
Fields of papers citing papers by Eric Nichols
This network shows the impact of papers produced by Eric Nichols. 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 Eric Nichols. The network helps show where Eric Nichols may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Nichols, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 234 | |
| 2 | 2012 | 42 | |
| 3 | 2019 | 41 | |
| 4 | 2010 | 39 | |
| 5 | Robust ontology acquisition from machine-readable dictionaries | 2005 | 34 |
| 6 | 2012 | 28 | |
| 7 | 2005 | 27 | |
| 8 | 2010 | 26 | |
| 9 | Improving statistical machine translation by paraphrasing the training data. | 2008 | 23 |
| 10 | 2009 | 23 | |
| 11 | 2009 | 19 | |
| 12 | 2009 | 19 | |
| 13 | DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets. | 2016 | 16 |
| 14 | 2007 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2004 | 14 | |
| 17 | 2021 | 12 | |
| 18 | Multilingual Ontology Acquisition from Multiple MRDs | 2006 | 11 |
| 19 | 2017 | 11 | |
| 20 | 2010 | 11 |
About Eric Nichols
Eric Nichols is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Social Psychology, Signal Processing and Cognitive Neuroscience, having authored 67 papers that have together received 832 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (18 papers), Social Robot Interaction and HRI (12 papers), Music and Audio Processing (10 papers), AI in Service Interactions (9 papers), Music Technology and Sound Studies (8 papers), Semantic Web and Ontologies (7 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (527 citations), Signal Processing (78 citations), Computer Vision and Pattern Recognition (135 citations), Cognitive Neuroscience (65 citations) and Molecular Medicine (14 citations). Eric Nichols has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nut Limsopatham, Marieke van Erp, Leon Derczynski, Francis Bond, Nazmul Siddique, Liam McDaid, Randy Gómez, Christopher Raphael, Daniel Flickinger and Donald Byrd. Their work appears in journals such as IEEE Robotics and Automation Letters, mBio, Water Science & Technology, Journal of Diabetes Science and Technology and Machine Translation.
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.