Newton Howard
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Amir HussainErik CambriaSoujanya PoriaMohamed ElgendiDerek AbbottRabab WardKenneth LimGuang-Bin Huang
- Topics
- Cognitive Computing and Networks (10 papers)Sentiment Analysis and Opinion Mining (6 papers)Natural Language Processing Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Newton Howard
72 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 1.1k
- Biomedical Engineering 675
- Cardiology and Cardiovascular Medicine 568
- Surgery 353
- Experimental and Cognitive Psychology 300
Countries citing papers authored by Newton Howard
This map shows the geographic impact of Newton Howard'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 Newton Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Newton Howard more than expected).
Fields of papers citing papers by Newton Howard
This network shows the impact of papers produced by Newton Howard. 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 Newton Howard. The network helps show where Newton Howard may publish in the future.
Co-authorship network of co-authors of Newton Howard
This figure shows the co-authorship network connecting the top 25 collaborators of Newton Howard. A scholar is included among the top collaborators of Newton Howard 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 Newton Howard. Newton Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 13 | |
| 3 | 25 | |
| 4 | 66 | |
| 5 | 26 | |
| 6 | 36 | |
| 7 | 92 | |
| 8 | 7 | |
| 9 | 28 | |
| 10 | The use of photoplethysmography for assessing hypertensionbreakdown → | 409 |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 69 | |
| 16 | 29 | |
| 17 | Common and Common-Sense Knowledge Integration for Concept-Level Sentiment Analysis | 1 |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 68 |
About Newton Howard
Newton Howard is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Health Informatics, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cognitive Computing and Networks (10 papers), Sentiment Analysis and Opinion Mining (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Health Informatics (43 citations) and Cardiology and Cardiovascular Medicine (568 citations). Newton Howard has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Amir Hussain, Erik Cambria, Soujanya Poria, Mohamed Elgendi, Derek Abbott, Rabab Ward, Kenneth Lim, Guang-Bin Huang, R. Fletcher and Nigel H. Lovell. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.