Matthew S. Goodwin

5.3k total citations · 1 hit paper
103 papers, 3.2k citations indexed

About

Matthew S. Goodwin is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Clinical Psychology. According to data from OpenAlex, Matthew S. Goodwin has authored 103 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Cognitive Neuroscience, 30 papers in Psychiatry and Mental health and 29 papers in Clinical Psychology. Recurrent topics in Matthew S. Goodwin's work include Autism Spectrum Disorder Research (68 papers), Child Development and Digital Technology (21 papers) and Behavioral and Psychological Studies (18 papers). Matthew S. Goodwin is often cited by papers focused on Autism Spectrum Disorder Research (68 papers), Child Development and Digital Technology (21 papers) and Behavioral and Psychological Studies (18 papers). Matthew S. Goodwin collaborates with scholars based in United States, Belgium and Mexico. Matthew S. Goodwin's co-authors include Stephen Intille, Wayne F. Velicer, O.H.G. Wilder‐Smith, Fahd Albinali, Rosalind W. Picard, Lisa L. Weyandt, Heather McGee, Marisa E. Marraccini, Siwei Liu and Shrikanth Narayanan and has published in prestigious journals such as The Lancet, PEDIATRICS and Scientific Reports.

In The Last Decade

Matthew S. Goodwin

101 papers receiving 3.1k citations

Hit Papers

align trajectories

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.

Interpersonal Autonomic Physiology: A Systematic Review of the Literature

2016 348 citations O.H.G. Wilder‐Smith, Matthew S. Goodwin et al. profile →

Peers

Matthew S. Goodwin

PMH

EDUCA

Mohamed Chétouani France

Lucia Billeci Italy

Daniel C. Krawczyk United States

Antonio Narzisi Italy

Agata Rozga United States

Barbara Carretti Italy

Hazel Emslie United Kingdom

Zachary Warren United States

Tom Manly United Kingdom

Filippo Muratori Italy

Mohamed Chétouani France

Matthew S. Goodwin

1.4k ×0.7

270 ×0.5

PMH

376 ×0.7

EDUCA

490 ×0.9

1.3k ×2.9

Citations per year, relative to Matthew S. Goodwin Matthew S. Goodwin (= 1×) peers Mohamed Chétouani

Countries citing papers authored by Matthew S. Goodwin

Since Specialization

Citations

This map shows the geographic impact of Matthew S. Goodwin'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 Matthew S. Goodwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Goodwin more than expected).

Fields of papers citing papers by Matthew S. Goodwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Goodwin. 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 Matthew S. Goodwin. The network helps show where Matthew S. Goodwin may publish in the future.

Co-authorship network of co-authors of Matthew S. Goodwin

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Goodwin. A scholar is included among the top collaborators of Matthew S. Goodwin 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 Matthew S. Goodwin. Matthew S. Goodwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wechsler, David, William Mandy, Meng‐Chuan Lai, et al.. (2025). Advancing health-care equity for autistic people: mental health as a key priority. The Lancet. 405(10491). 1723–1726. 2 indexed citations

Sathyanarayana, Aarti, et al.. (2025). Beyond Motion Artifacts: Optimizing PPG Preprocessing for Accurate Pulse Rate Variability Estimation. ArXiv.org. 1176–1182.

Goodwin, Matthew S., et al.. (2024). Examining the feasibility and utility of heart rate variability on intervention outcomes targeting emotion regulation in autism: a brief report. Scientific Reports. 14(1). 15409–15409. 1 indexed citations

Grasser, Lana Ruvolo, Matthew S. Goodwin, Reut Naim, et al.. (2023). Can peripheral psychophysiological markers predict response to exposure-based cognitive behavioral therapy in youth with severely impairing irritability? A study protocol. BMC Psychiatry. 23(1). 926–926. 6 indexed citations

Sultanik, Evan A., Carla A. Mazefsky, Lauren Brookman‐Frazee, et al.. (2023). A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols. 12. e45852–e45852. 3 indexed citations

Northrup, Jessie B., Matthew S. Goodwin, Christine Peura, et al.. (2022). Mapping the time course of overt emotion dysregulation, self‐injurious behavior, and aggression in psychiatrically hospitalized autistic youth: A naturalistic study. Autism Research. 15(10). 1855–1867. 14 indexed citations

Nuske, Heather J., Matthew S. Goodwin, Jeffrey W. Pennington, et al.. (2021). Evaluating commercially available wireless cardiovascular monitors for measuring and transmitting real‐time physiological responses in children with autism. Autism Research. 15(1). 117–130. 15 indexed citations

Akçakaya, Murat, Xiaojing Xu, Virginia R. de, et al.. (2021). Automated Pain Assessment in Children Using Electrodermal Activity and Video Data Fusion via Machine Learning. IEEE Transactions on Biomedical Engineering. 69(1). 422–431. 25 indexed citations

Vernetti, Angélina, Frederick Shic, Laura Boccanfuso, et al.. (2020). Atypical Emotional Electrodermal Activity in Toddlers with Autism Spectrum Disorder. Autism Research. 13(9). 1476–1488. 13 indexed citations

10.

Bangerter, Abigail, Nikolay V. Manyakov, David Lewin, et al.. (2019). Caregiver Daily Reporting of Symptoms in Autism Spectrum Disorder: Observational Study Using Web and Mobile Apps. JMIR Mental Health. 6(3). e11365–e11365. 23 indexed citations

11.

Goodwin, Matthew S., Carla A. Mazefsky, Stratis Ioannidis, Deniz Erdoğmuş, & Matthew Siegel. (2019). Predicting aggression to others in youth with autism using a wearable biosensor. Autism Research. 12(8). 1286–1296. 71 indexed citations

12.

Xu, Xiaojing, Kenneth D. Craig, Matthew S. Goodwin, et al.. (2019). Automated Pain Detection in Facial Videos of Children Using Human-Assisted Transfer Learning. Lecture notes in computer science. 2142. 162–180. 19 indexed citations

13.

Xu, Xiaojing, Hooman Nezamfar, Kenneth D. Craig, et al.. (2019). Towards Automated Pain Detection in Children Using Facial and Electrodermal Activity. Lecture notes in computer science. 2142. 181–189. 17 indexed citations

14.

Goodwin, Matthew S.. (2018). Automated Detection of Stereotypical Motor Movements in Children with Autism Spectrum Disorder Using Geometric Feature Fusion. 1 indexed citations

15.

Özdenizci, Ozan, Carla A. Mazefsky, Matthew Siegel, et al.. (2018). Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. PubMed. 2018. 5745–5748. 9 indexed citations

16.

Akçakaya, Murat, Hooman Nezamfar, Xiaojing Xu, et al.. (2018). Automated Pain Assessment using Electrodermal Activity Data and Machine Learning. PubMed. 2018. 372–375. 37 indexed citations

17.

Kleckner, Ian R., Rebecca Jones, O.H.G. Wilder‐Smith, et al.. (2017). Simple, Transparent, and Flexible Automated Quality Assessment Procedures for Ambulatory Electrodermal Activity Data. IEEE Transactions on Biomedical Engineering. 65(7). 1460–1467. 75 indexed citations

18.

Ness, Seth, Michael G. Aman, Anna J. Esbensen, et al.. (2017). Autism Behavior Inventory: A Novel Tool for Assessing Core and Associated Symptoms of Autism Spectrum Disorder. Journal of Child and Adolescent Psychopharmacology. 27(9). 814–822. 33 indexed citations

19.

Sikka, Karan, Alex A. Ahmed, Matthew S. Goodwin, et al.. (2015). Automated Assessment of Children’s Postoperative Pain Using Computer Vision. PEDIATRICS. 136(1). e124–e131. 94 indexed citations

20.

Hoque, Mohammed Ehsan, et al.. (2009). Exploring speech therapy games with children on the autism spectrum.. Conference of the International Speech Communication Association. 1455–1458. 8 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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