Matthew D. Stanley

1.0k total citations · 1 hit paper
8 papers, 681 citations indexed

About

Matthew D. Stanley is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Matthew D. Stanley has authored 8 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Surgery. Recurrent topics in Matthew D. Stanley's work include Machine Learning in Healthcare (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). Matthew D. Stanley is often cited by papers focused on Machine Learning in Healthcare (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). Matthew D. Stanley collaborates with scholars based in United States and Egypt. Matthew D. Stanley's co-authors include Shamim Nemati, Andre L. Holder, Gari D. Clifford, Timothy G. Buchman, Fereshteh Razmi, Qiao Li, Supreeth P. Shashikumar, Mohammad M. Ghassemi, Eric C Kutscher and Paul A. Kearney and has published in prestigious journals such as Critical Care Medicine, Alcoholism Clinical and Experimental Research and JACC: Cardiovascular Interventions.

In The Last Decade

Matthew D. Stanley

8 papers receiving 666 citations

Hit Papers

An Interpretable Machine Learning Model for Accurate Pred... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew D. Stanley United States 6 381 352 131 85 80 8 681
Thomas Desautels United States 9 348 0.9× 388 1.1× 82 0.6× 68 0.8× 54 0.7× 10 633
Fereshteh Razmi United States 2 309 0.8× 275 0.8× 88 0.7× 78 0.9× 52 0.7× 2 516
Yaniv Kerem United States 12 436 1.1× 389 1.1× 171 1.3× 82 1.0× 97 1.2× 13 925
Christopher W. Barton United States 11 310 0.8× 257 0.7× 120 0.9× 70 0.8× 60 0.8× 17 733
Melissa Jay United States 8 625 1.6× 597 1.7× 136 1.0× 101 1.2× 61 0.8× 11 925
Katharine E. Henry United States 8 354 0.9× 448 1.3× 99 0.8× 189 2.2× 43 0.5× 14 826
Lucas M. Fleuren Netherlands 11 345 0.9× 217 0.6× 78 0.6× 91 1.1× 39 0.5× 22 708
Tingjie Guo Netherlands 11 329 0.9× 190 0.5× 86 0.7× 66 0.8× 37 0.5× 24 682
Supreeth P. Shashikumar United States 16 534 1.4× 578 1.6× 129 1.0× 90 1.1× 256 3.2× 40 1.2k
Luca F. Roggeveen Netherlands 9 309 0.8× 192 0.5× 74 0.6× 72 0.8× 34 0.4× 14 612

Countries citing papers authored by Matthew D. Stanley

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Stanley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Stanley

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

All Works

8 of 8 papers shown
1.
Stanley, Matthew D. & Manu S. Sancheti. (2022). Management of Complications in Robotic Thoracic Surgery. Thoracic surgery clinics/Thorac. surg. clin.. 33(1). 19–24. 1 indexed citations
2.
Gill, Deanna, Matthew T. Brown, Ronald Chang, et al.. (2021). Percutaneous Thromboembolectomy in a High-Risk Surgical Patient With Thrombus Straddling a Patent Foramen Ovale. JACC: Cardiovascular Interventions. 14(5). e45–e47. 2 indexed citations
3.
Stanley, Matthew D., et al.. (2018). A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. PubMed. 2018. 4927–4931. 28 indexed citations
4.
Shashikumar, Supreeth P., Matthew D. Stanley, Qiao Li, et al.. (2017). Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics. Journal of Electrocardiology. 50(6). 739–743. 110 indexed citations
5.
Nemati, Shamim, Andre L. Holder, Fereshteh Razmi, et al.. (2017). An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU. Critical Care Medicine. 46(4). 547–553. 505 indexed citations breakdown →
6.
Stanley, Matthew D., et al.. (2011). An Acute Care Surgery Rotation Contributes Significant General Surgical Operative Volume to Residency Training Compared With Other Rotations. The Journal of Trauma: Injury, Infection, and Critical Care. 70(3). 590–594. 18 indexed citations
7.
Stanley, Matthew D., et al.. (2010). Amphetamine Self-Administration in Light and Moderate Drinkers. Alcoholism Clinical and Experimental Research. 35(3). 443–453. 5 indexed citations
8.
Kutscher, Eric C, et al.. (2009). Chantix-induced mental status changes in a young healthy female.. PubMed. 62(5). 193, 195–193, 195. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026