Eric Nichols
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Signal Processing top 10%
- Music and Audio Processing
Papers in
-
- Topic Modeling 23
- Natural Language Processing Techniques 17
- AI in Service Interactions 7
- Advanced Text Analysis Techniques 6
- Text Readability and Simplification 6
-
- Music and Audio Processing 9
- Co-authors
- Nut LimsopathamMarieke van ErpLeon DerczynskiLiam McDaidNazmul SiddiqueFrancis BondChristopher RaphaelDaniel Flickinger
- Journals
- Journal of Diabetes Science and Technology (1 paper)Journal of Hazardous Materials (1 paper)International Journal of Neural Systems (1 paper)IEEE Transactions on Cybernetics (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eric Nichols
51 papers receiving 633 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 440
- Signal Processing 70
- Computer Vision and Pattern Recognition 115
- Health Informatics 5
- Cognitive Neuroscience 57
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 37 | |
| 10 | 2017 | 217 | |
| 11 | DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets. | 2016 | 15 |
| 12 | TU Group at NTCIR9-RITE: Leveraging Diverse Lexical Resources for Recognizing Textual Entailment | 2011 | 1 |
| 13 | 2011 | 7 | |
| 14 | Lyric-Based Rhythm Suggestion | 2009 | 5 |
| 15 | Improving statistical machine translation by paraphrasing the training data. | 2008 | 21 |
| 16 | Combining resources for open source machine translation. | 2007 | 2 |
| 17 | 2007 | 14 | |
| 18 | Robust Ontology Acquisition from Multiple Sources | 2006 | 2 |
| 19 | Multilingual Ontology Acquisition from Multiple MRDs | 2006 | 7 |
| 20 | Robust ontology acquisition from machine-readable dictionaries | 2005 | 28 |
About Eric Nichols
Eric Nichols is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Social Psychology and Music, having authored 58 papers that have together received 705 indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (17 papers), Music and Audio Processing (9 papers), Music Technology and Sound Studies (8 papers), Social Robot Interaction and HRI (8 papers), AI in Service Interactions (7 papers), Advanced Text Analysis Techniques (6 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Artificial Intelligence (440 citations), Signal Processing (70 citations), Computer Vision and Pattern Recognition (115 citations), Health Informatics (5 citations) and Cognitive Neuroscience (57 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, Liam McDaid, Nazmul Siddique, Francis Bond, Christopher Raphael, Daniel Flickinger, Donald Byrd and Randy Gómez. Their work appears in journals such as Journal of Diabetes Science and Technology, Journal of Hazardous Materials, International Journal of Neural Systems, IEEE Transactions on Cybernetics and IEEE Robotics and Automation Letters.
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.