Matthew Engelhard

960 total citations
45 papers, 570 citations indexed

About

Matthew Engelhard is a scholar working on Pathology and Forensic Medicine, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Matthew Engelhard has authored 45 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 9 papers in Cognitive Neuroscience and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Matthew Engelhard's work include Multiple Sclerosis Research Studies (9 papers), Sleep and related disorders (6 papers) and Effects of Vibration on Health (5 papers). Matthew Engelhard is often cited by papers focused on Multiple Sclerosis Research Studies (9 papers), Sleep and related disorders (6 papers) and Effects of Vibration on Health (5 papers). Matthew Engelhard collaborates with scholars based in United States, South Africa and Norway. Matthew Engelhard's co-authors include Scott H. Kollins, Jessica R. Lunsford‐Avery, Ann Marie Návar, Myla Goldman, John Lach, Stephen D. Patek, Ricardo Henao, Katherine S. F. Damme, Vijay A. Mittal and Samuel I. Berchuck and has published in prestigious journals such as JAMA, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Matthew Engelhard

43 papers receiving 557 citations

Peers

Matthew Engelhard
Kyung Min Kim South Korea
Fiona Barwick United States
Hadas Lewy Israel
Jens Acker Germany
Victoria Garfield United Kingdom
Nada Pop‐Jordanova North Macedonia
Kyung Min Kim South Korea
Matthew Engelhard
Citations per year, relative to Matthew Engelhard Matthew Engelhard (= 1×) peers Kyung Min Kim

Countries citing papers authored by Matthew Engelhard

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Engelhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Engelhard

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Engelhard. A scholar is included among the top collaborators of Matthew Engelhard 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 Engelhard. Matthew Engelhard 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.
Lunsford‐Avery, Jessica R., Andrew D. Krystal, & Matthew Engelhard. (2024). 0814 Light Regularity Associated with Cognitive Performance in Adolescents with ADHD. SLEEP. 47(Supplement_1). A349–A349.
2.
Engelhard, Matthew, et al.. (2024). Improving Artificial Intelligence–based Microbial Keratitis Screening Tools Constrained by Limited Data Using Synthetic Generation of Slit-Lamp Photos. SHILAP Revista de lepidopterología. 5(3). 100676–100676. 1 indexed citations
3.
Meng, Marie‐Louise, Jerome J. Federspiel, Matthew A. Fuller, et al.. (2023). Severe Maternal Morbidity According to Mode of Delivery Among Pregnant Patients With Cardiomyopathies. JACC Heart Failure. 11(12). 1678–1689. 4 indexed citations
4.
Engelhard, Matthew, Ricardo Henao, Samuel I. Berchuck, et al.. (2023). Enhancing early autism prediction based on electronic records using clinical narratives. Journal of Biomedical Informatics. 144. 104390–104390. 7 indexed citations
5.
Engelhard, Matthew, Ricardo Henao, Samuel I. Berchuck, et al.. (2023). Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year. JAMA Network Open. 6(2). e2254303–e2254303. 14 indexed citations
6.
Engelhard, Matthew, et al.. (2022). A Disease Identification Algorithm for Medical Crowdfunding Campaigns: Validation Study. Journal of Medical Internet Research. 24(6). e32867–e32867. 4 indexed citations
7.
Adams, Elizabeth L., Albert J. Ksinan, Jessica R. Lunsford‐Avery, et al.. (2022). Sleep onset, duration, or regularity: which matters most for child adiposity outcomes?. International Journal of Obesity. 46(8). 1502–1509. 9 indexed citations
8.
Engelhard, Matthew, et al.. (2021). Prediction of Smoking Risk From Repeated Sampling of Environmental Images: Model Validation. Journal of Medical Internet Research. 23(11). e27875–e27875. 2 indexed citations
9.
Lunsford‐Avery, Jessica R., et al.. (2021). Impact of daily caffeine intake and timing on electroencephalogram-measured sleep in adolescents. Journal of Clinical Sleep Medicine. 18(3). 877–884. 18 indexed citations
10.
Lunsford‐Avery, Jessica R., et al.. (2020). Feasibility and Acceptability of Wearable Sleep Electroencephalogram Device Use in Adolescents: Observational Study. JMIR mhealth and uhealth. 8(10). e20590–e20590. 15 indexed citations
11.
Engelhard, Matthew, Samuel I. Berchuck, Jyotsna Garg, et al.. (2020). Health system utilization before age 1 among children later diagnosed with autism or ADHD. Scientific Reports. 10(1). 17677–17677. 12 indexed citations
12.
Engelhard, Matthew, Jason A. Oliver, & F. Joseph McClernon. (2020). Digital envirotyping: quantifying environmental determinants of health and behavior. npj Digital Medicine. 3(1). 36–36. 9 indexed citations
13.
Lunsford‐Avery, Jessica R., Katherine S. F. Damme, Matthew Engelhard, Scott H. Kollins, & Vijay A. Mittal. (2020). Sleep/Wake Regularity Associated with Default Mode Network Structure among Healthy Adolescents and Young Adults. Scientific Reports. 10(1). 509–509. 44 indexed citations
14.
Engelhard, Matthew & Scott H. Kollins. (2019). The Many Channels of Screen Media Technology in ADHD: a Paradigm for Quantifying Distinct Risks and Potential Benefits. Current Psychiatry Reports. 21(9). 90–90. 11 indexed citations
15.
Lunsford‐Avery, Jessica R., Matthew Engelhard, Ann Marie Návar, & Scott H. Kollins. (2018). Validation of the Sleep Regularity Index in Older Adults and Associations with Cardiometabolic Risk. Scientific Reports. 8(1). 14158–14158. 144 indexed citations
16.
Engelhard, Matthew, et al.. (2017). Remotely engaged: Lessons from remote monitoring in multiple sclerosis. International Journal of Medical Informatics. 100. 26–31. 23 indexed citations
17.
Brenton, J. Nicholas, et al.. (2017). Utility of Physical Disability Outcome Measures in Pediatric-Onset Multiple Sclerosis (P1.353). Neurology. 88(16_supplement). 1 indexed citations
18.
Engelhard, Matthew, Stephen D. Patek, John Lach, & Myla Goldman. (2017). Real-world walking in multiple sclerosis: Separating capacity from behavior. Gait & Posture. 59. 211–216. 16 indexed citations
19.
Engelhard, Matthew, et al.. (2016). Quantifying six-minute walk induced gait deterioration with inertial sensors in multiple sclerosis subjects. Gait & Posture. 49. 340–345. 35 indexed citations
20.
Engelhard, Matthew, et al.. (2015). Toward Detection and Monitoring of Gait Pathology using Inertial Sensors under Rotation, Scale, and Offset Invariant Dynamic Time Warping. EAI Endorsed Transactions on Pervasive Health and Technology. 2(5). 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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