Chris Eckl
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
Papers in
-
- Artificial Intelligence in Healthcare 2
-
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 4
- Topic Modeling 3
- Machine Learning in Healthcare 2
- Co-authors
- Amir Hussain (14 shared papers)Erik Cambria (9 shared papers)Catherine Havasi (6 shared papers)James B. Munro (2 shared papers)Tim Benson (1 shared paper)T.S. Durrani (1 shared paper)Warner V. Slack (5 shared papers)Stephen James Leslie (4 shared papers)
- Journals
- Expert Systems with Applications (1 paper)Lecture notes in computer science (7 papers)Edinburgh Napier Research Repository (Edinburgh Napier University) (3 papers)Research Output (Edinburgh Napier University) (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Chris Eckl
14 papers receiving 630 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 496
- Health Information Management 31
- Statistical and Nonlinear Physics 58
- Experimental and Cognitive Psychology 53
- Social Psychology 57
Countries citing papers authored by Chris Eckl
This map shows the geographic impact of Chris Eckl'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 Chris Eckl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Eckl more than expected).
Fields of papers citing papers by Chris Eckl
This network shows the impact of papers produced by Chris Eckl. 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 Chris Eckl. The network helps show where Chris Eckl may publish in the future.
Co-authors
The 16 scholars most cited alongside Chris Eckl, 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 | 2010 | 106 | |
| 2 | 2010 | 92 | |
| 3 | 2009 | 88 | |
| 4 | 2012 | 85 | |
| 5 | 2011 | 75 | |
| 6 | 2010 | 61 | |
| 7 | AffectiveSpace: Blending Common Sense and Affective Knowledge to Perform Emotive Reasoning | 2009 | 45 |
| 8 | Towards Crowd Validation of the UK National Health Service | 2010 | 37 |
| 9 | 2011 | 22 | |
| 10 | 2012 | 12 | |
| 11 | Taking Refuge in Your Personal Sentic Corner | 2011 | 8 |
| 12 | 2013 | 4 | |
| 13 | 2012 | 4 | |
| 14 | 2013 | 2 | |
| 15 | 2024 | 0 |
About Chris Eckl
Chris Eckl is a scholar working on Health Information Management, Artificial Intelligence, Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Social Psychology, having authored 15 papers that have together received 641 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (4 papers), Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (3 papers), Artificial Intelligence in Healthcare (2 papers), Complex Network Analysis Techniques (2 papers), Machine Learning in Healthcare (2 papers) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Artificial Intelligence (496 citations), Health Information Management (31 citations), Statistical and Nonlinear Physics (58 citations), Experimental and Cognitive Psychology (53 citations) and Social Psychology (57 citations). Chris Eckl has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Amir Hussain, Erik Cambria, Catherine Havasi, James B. Munro, Tim Benson, T.S. Durrani, Warner V. Slack, Stephen James Leslie, Calum A. MacRae and Kaizhu Huang. Their work appears in journals such as Expert Systems with Applications, Lecture notes in computer science, Edinburgh Napier Research Repository (Edinburgh Napier University) and Research Output (Edinburgh Napier University).
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.