Newton Howard

4.2k total citations · 2 hit papers
75 papers, 2.5k citations indexed

About

Newton Howard is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Newton Howard has authored 75 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Cognitive Neuroscience and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Newton Howard's work include Cognitive Computing and Networks (10 papers), Sentiment Analysis and Opinion Mining (6 papers) and Natural Language Processing Techniques (6 papers). Newton Howard is often cited by papers focused on Cognitive Computing and Networks (10 papers), Sentiment Analysis and Opinion Mining (6 papers) and Natural Language Processing Techniques (6 papers). Newton Howard collaborates with scholars based in United States, United Kingdom and Canada. Newton Howard's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Newton Howard

72 papers receiving 2.4k citations

Hit Papers

The use of photoplethysmography for assessing hypertension 2015 2026 2018 2022 2019 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The use of photoplethysmography for assessing hypertension
    2019 409 citations Mohamed Elgendi, R. Fletcher et al. npj Digital Medicine profile →
  2. Fusing audio, visual and textual clues for sentiment analysis from multimodal content
    2015 327 citations Erik Cambria, Newton Howard et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Newton Howard United States 23 1.1k 675 568 353 300 75 2.5k
Javier Andreu-Pérez United Kingdom 18 885 0.8× 458 0.7× 199 0.4× 105 0.3× 95 0.3× 77 2.9k
Hong Hong China 28 253 0.2× 1.2k 1.8× 320 0.6× 281 0.8× 142 0.5× 158 2.6k
Dimitris Koutsouris Greece 27 361 0.3× 505 0.7× 335 0.6× 176 0.5× 54 0.2× 269 3.3k
Ricardo Buettner Germany 27 320 0.3× 173 0.3× 202 0.4× 128 0.4× 100 0.3× 123 1.9k
Thien Huu Nguyen United States 29 2.6k 2.4× 195 0.3× 126 0.2× 58 0.2× 195 0.7× 138 4.1k
Paweł Pławiak Poland 31 1.2k 1.1× 749 1.1× 1.2k 2.2× 49 0.1× 84 0.3× 128 4.1k
Carmen C. Y. Poon Hong Kong 30 470 0.4× 3.1k 4.6× 1.4k 2.5× 944 2.7× 75 0.3× 94 5.0k
Paul Dagum United States 29 578 0.5× 154 0.2× 1.2k 2.1× 749 2.1× 124 0.4× 70 2.5k
N. Arunkumar India 37 993 0.9× 504 0.7× 478 0.8× 45 0.1× 213 0.7× 109 5.0k
Abeer Alsadoon Australia 26 1.1k 1.0× 265 0.4× 54 0.1× 139 0.4× 149 0.5× 196 2.9k

Countries citing papers authored by Newton Howard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Howard, Newton, et al.. (2024). Comparative analysis of energy transfer mechanisms for neural implants. Frontiers in Neuroscience. 17. 1320441–1320441. 13 indexed citations
3.
Varone, Giuseppe, Zain Hussain, Zakariya Sheikh, et al.. (2021). Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures. Sensors. 21(2). 637–637. 25 indexed citations
4.
Elgendi, Mohamed, Muhammad Umer Nasir, Qunfeng Tang, et al.. (2021). The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective. Frontiers in Medicine. 8. 629134–629134. 66 indexed citations
5.
Ugail, Hassan, Andrés Iglesias, Newton Howard, et al.. (2021). Social distancing enhanced automated optimal design of physical spaces in the wake of the COVID-19 pandemic. Sustainable Cities and Society. 68. 102791–102791. 26 indexed citations
6.
Cooper, Rachel, P. A. Kyriacou, Dingchang Zheng, et al.. (2020). Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension. Journal of Clinical Medicine. 9(4). 1203–1203. 36 indexed citations
7.
Cooper, Rachel, P. A. Kyriacou, Dingchang Zheng, et al.. (2020). Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring. Journal of Clinical Medicine. 9(3). 723–723. 92 indexed citations
8.
Howard, Newton, et al.. (2020). BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework. Frontiers in Computational Neuroscience. 14. 16–16. 7 indexed citations
9.
Elgendi, Mohamed, Muhammad Umer Nasir, Qunfeng Tang, et al.. (2020). The Performance of Deep Neural Networks in Differentiating Chest X-Rays of COVID-19 Patients From Other Bacterial and Viral Pneumonias. Frontiers in Medicine. 7. 550–550. 28 indexed citations
10.
Elgendi, Mohamed, R. Fletcher, Yongbo Liang, et al.. (2019). The use of photoplethysmography for assessing hypertension. npj Digital Medicine. 2(1). 60–60. 409 indexed citations breakdown →
11.
Wang, Yingxu, Konstantinos N. Plataniotis, Sam Kwong, et al.. (2019). On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. Research Open (London South Bank University). 7–12. 10 indexed citations
12.
Howard, Newton. (2018). The Future of the Human Brain. 3–3. 1 indexed citations
13.
Wang, Yingxu, Newton Howard, Janusz Kacprzyk, et al.. (2018). Cognitive Informatics. International Journal of Cognitive Informatics and Natural Intelligence. 12(1). 1–13. 14 indexed citations
14.
Bergmann, Jeroen, et al.. (2017). A Bayesian Assessment of Real-World Behavior During Multitasking. Cognitive Computation. 9(6). 749–757. 2 indexed citations
15.
Kong, Xiangyi, et al.. (2017). Automatic Detection of Acromegaly From Facial Photographs Using Machine Learning Methods. EBioMedicine. 27. 94–102. 69 indexed citations
16.
Cambria, Erik, Newton Howard, Yunqing Xia, & Tat‐Seng Chua. (2016). Computational Intelligence for Big Social Data Analysis [Guest Editorial]. IEEE Computational Intelligence Magazine. 11(3). 8–9. 29 indexed citations
17.
Cambria, Erik & Newton Howard. (2014). Common and Common-Sense Knowledge Integration for Concept-Level Sentiment Analysis. The Florida AI Research Society. 1 indexed citations
18.
Bergmann, Jeroen, Patrick Langdon, R.E. Mayagoitia, & Newton Howard. (2014). Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories. PLoS ONE. 9(2). e88080–e88080. 13 indexed citations
19.
Bergmann, Jeroen, et al.. (2013). Comparison of median frequency between traditional and functional sensor placements during activity monitoring. Measurement. 46(7). 2193–2200. 4 indexed citations
20.
Neuman, Yair, Dan Assaf, Yohai Cohen, et al.. (2013). Metaphor Identification in Large Texts Corpora. PLoS ONE. 8(4). e62343–e62343. 68 indexed citations

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.

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