Benjamin Shickel
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 12
- Topic Modeling 5
-
- Artificial Intelligence in Healthcare and Education 11
- Co-authors
- Azra Bihorac (39 shared papers)Parisa Rashidi (35 shared papers)Patrick Tighe (14 shared papers)Tezcan Ozrazgat‐Baslanti (27 shared papers)Matthew M. Ruppert (17 shared papers)Tyler J. Loftus (32 shared papers)Gilbert R. Upchurch (15 shared papers)Yuanfang Ren (15 shared papers)
- Journals
- Surgery (3 papers)Scientific Reports (3 papers)Clinical Journal of the American Society of Nephrology (2 papers)Nature Reviews Nephrology (2 papers)Journal of the American Society of Nephrology (2 papers)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Benjamin Shickel
53 papers receiving 1.6k citations
Benjamin Shickel's Hit Papers
Peers
Comparison fields: 5 of 134
- Health Informatics 267
- Health Information Management 279
- Artificial Intelligence 725
- Family Practice 21
- Radiology, Nuclear Medicine and Imaging 183
Countries citing papers authored by Benjamin Shickel
This map shows the geographic impact of Benjamin Shickel'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 Shickel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Shickel more than expected).
Fields of papers citing papers by Benjamin Shickel
This network shows the impact of papers produced by Benjamin Shickel. 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 Shickel. The network helps show where Benjamin Shickel may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Shickel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis Hit paper breakdown → | 2017 | 876 |
| 2 | 2019 | 93 | |
| 3 | 2022 | 78 | |
| 4 | 2022 | 59 | |
| 5 | 2024 | 59 | |
| 6 | Use of artificial intelligence in critical care: opportunities and obstacles Hit paper breakdown → | 2024 | 53 |
| 7 | 2022 | 50 | |
| 8 | 2022 | 38 | |
| 9 | 2022 | 33 | |
| 10 | 2021 | 33 | |
| 11 | 2022 | 31 | |
| 12 | 2023 | 28 | |
| 13 | 2016 | 25 | |
| 14 | 2022 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 2022 | 11 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2025 | 9 |
About Benjamin Shickel
Benjamin Shickel is a scholar working on Artificial Intelligence, Health Informatics, Epidemiology, Surgery and Biomedical Engineering, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (12 papers), Artificial Intelligence in Healthcare and Education (11 papers), Sepsis Diagnosis and Treatment (9 papers), Surgical Simulation and Training (5 papers), Intensive Care Unit Cognitive Disorders (5 papers), Topic Modeling (5 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Mental Health via Writing (3 papers). The work is most often cited by research in Health Informatics (267 citations), Health Information Management (279 citations), Artificial Intelligence (725 citations), Family Practice (21 citations) and Radiology, Nuclear Medicine and Imaging (183 citations). Benjamin Shickel has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Azra Bihorac, Parisa Rashidi, Patrick Tighe, Tezcan Ozrazgat‐Baslanti, Matthew M. Ruppert, Tyler J. Loftus, Gilbert R. Upchurch, Yuanfang Ren, Scott Siegel and Jeremy A. Balch. Their work appears in journals such as Surgery, Scientific Reports, Clinical Journal of the American Society of Nephrology, Nature Reviews Nephrology and Journal of the American Society of Nephrology.
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.