Benjamin D. Wissel

856 total citations
16 papers, 472 citations indexed

About

Benjamin D. Wissel is a scholar working on Artificial Intelligence, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Benjamin D. Wissel has authored 16 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Psychiatry and Mental health and 4 papers in Neurology. Recurrent topics in Benjamin D. Wissel's work include Epilepsy research and treatment (7 papers), Machine Learning in Healthcare (7 papers) and Topic Modeling (4 papers). Benjamin D. Wissel is often cited by papers focused on Epilepsy research and treatment (7 papers), Machine Learning in Healthcare (7 papers) and Topic Modeling (4 papers). Benjamin D. Wissel collaborates with scholars based in United States, United Kingdom and Greece. Benjamin D. Wissel's co-authors include Tracy A. Glauser, Judith W. Dexheimer, John Pestian, Alberto J. Espay, Rhonda D. Szczesniak, Ameya Deshmukh, David Dean, Aaron Short, Jessica O. Winter and Francesco T. Mangano and has published in prestigious journals such as Neurology, Epilepsia and Journal of the American Medical Informatics Association.

In The Last Decade

Benjamin D. Wissel

16 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin D. Wissel United States 12 109 107 89 79 65 16 472
Lampros Kourtis United States 11 24 0.2× 124 1.2× 44 0.5× 142 1.8× 63 1.0× 15 695
Yauhen Statsenko United Arab Emirates 10 40 0.4× 72 0.7× 35 0.4× 26 0.3× 69 1.1× 61 387
Erik Reinertsen United States 12 70 0.6× 25 0.2× 23 0.3× 44 0.6× 52 0.8× 22 523
Eric J. Snider United States 15 21 0.2× 40 0.4× 33 0.4× 141 1.8× 26 0.4× 73 741
Alistair M. Glidden United States 6 225 2.1× 77 0.7× 23 0.3× 54 0.7× 78 1.2× 6 529
Carlos S. Mendoza Spain 12 94 0.9× 24 0.2× 35 0.4× 66 0.8× 34 0.5× 24 502
Paul Rinne United Kingdom 8 57 0.5× 53 0.5× 25 0.3× 50 0.6× 100 1.5× 10 375
Kadircan H. Keskinbora Türkiye 12 31 0.3× 64 0.6× 41 0.5× 23 0.3× 36 0.6× 40 629
Lei Cheng China 12 52 0.5× 67 0.6× 10 0.1× 60 0.8× 21 0.3× 52 488
Alessandro Peretti Italy 7 62 0.6× 67 0.6× 6 0.1× 35 0.4× 50 0.8× 17 497

Countries citing papers authored by Benjamin D. Wissel

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin D. Wissel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin D. Wissel. 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 Benjamin D. Wissel. The network helps show where Benjamin D. Wissel may publish in the future.

Co-authorship network of co-authors of Benjamin D. Wissel

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

All Works

16 of 16 papers shown
1.
Wissel, Benjamin D., Hansel M. Greiner, Tracy A. Glauser, et al.. (2024). Early Identification of Candidates for Epilepsy Surgery. Neurology. 102(4). e208048–e208048. 5 indexed citations
2.
Seas, Andreas, Christine Goertz, Benjamin D. Wissel, et al.. (2024). Machine learning in the diagnosis, management, and care of patients with low back pain: a scoping review of the literature and future directions. The Spine Journal. 25(1). 18–31. 1 indexed citations
3.
Hill, Emily J., Benjamin D. Wissel, Russell P. Sawyer, et al.. (2023). Parkinson's disease diagnosis codes are insufficiently accurate for electronic health record research and differ by race. Parkinsonism & Related Disorders. 114. 105764–105764. 6 indexed citations
4.
Beaulieu‐Jones, Brett K., Mauricio F. Villamar, Phil Scordis, et al.. (2023). Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study. The Lancet Digital Health. 5(12). e882–e894. 16 indexed citations
5.
Wissel, Benjamin D., Hansel M. Greiner, Tracy A. Glauser, et al.. (2023). Automated, machine learning–based alerts increase epilepsy surgery referrals: A randomized controlled trial. Epilepsia. 64(7). 1791–1799. 11 indexed citations
6.
Wissel, Benjamin D., Yizhao Ni, Nathan M. Pajor, et al.. (2022). Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study. JMIR Medical Informatics. 10(12). e37833–e37833. 17 indexed citations
7.
Wissel, Benjamin D., Hansel M. Greiner, Tracy A. Glauser, et al.. (2021). Early identification of epilepsy surgery candidates: A multicenter, machine learning study. Acta Neurologica Scandinavica. 144(1). 41–50. 17 indexed citations
8.
Wissel, Benjamin D., Pieter-Jan Van Camp, Michal Kouril, et al.. (2020). An interactive online dashboard for tracking COVID-19 in U.S. counties, cities, and states in real time. Journal of the American Medical Informatics Association. 27(7). 1121–1125. 74 indexed citations
9.
Wissel, Benjamin D., Hansel M. Greiner, Tracy A. Glauser, et al.. (2019). Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery. Epilepsia. 61(1). 39–48. 45 indexed citations
10.
Wissel, Benjamin D., Hansel M. Greiner, Tracy A. Glauser, et al.. (2019). Investigation of bias in an epilepsy machine learning algorithm trained on physician notes. Epilepsia. 60(9). e93–e98. 29 indexed citations
11.
Glauser, Tracy A., Melissa P. DelBello, Robert Faist, et al.. (2019). Identifying epilepsy psychiatric comorbidities with machine learning. Acta Neurologica Scandinavica. 141(5). 388–396. 18 indexed citations
12.
Wissel, Benjamin D., Georgia Mitsi, Alok Dwivedi, et al.. (2018). Tablet-Based Application for Objective Measurement of Motor Fluctuations in Parkinson Disease. PubMed. 1(2). 126–135. 23 indexed citations
13.
Mitsi, Georgia, Benjamin D. Wissel, Alok Dwivedi, et al.. (2017). Biometric Digital Health Technology for Measuring Motor Function in Parkinson’s Disease: Results from a Feasibility and Patient Satisfaction Study. Frontiers in Neurology. 8. 273–273. 24 indexed citations
14.
Wissel, Benjamin D., Alok Dwivedi, Tyler E. Gaston, et al.. (2016). Which patients with epilepsy are at risk for psychogenic nonepileptic seizures (PNES)? A multicenter case–control study. Epilepsy & Behavior. 61. 180–184. 25 indexed citations
15.
Merola, Aristide, Alberto Romagnolo, Michela Rosso, et al.. (2016). Orthostatic hypotension in Parkinson's disease: Does it matter if asymptomatic?. Parkinsonism & Related Disorders. 33. 65–71. 76 indexed citations
16.
Short, Aaron, et al.. (2015). Hydrogels that allow and facilitate bone repair, remodeling, and regeneration. Journal of Materials Chemistry B. 3(40). 7818–7830. 85 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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