Benjamin Shickel

3.1k citations

58 papers · 1.5k indexed · 1 hit paper · h-index 15

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

Health Informatics 15
- Artificial Intelligence in Healthcare and Education 15
Family Practice 3

Co-authors: Parisa Rashidi Azra Bihorac Patrick Tighe Tezcan Ozrazgat‐Baslanti Matthew M. Ruppert Tyler J. Loftus Yuanfang Ren Gilbert R. Upchurch
Journals: Scientific Reports (3 papers)Surgery (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 States United Kingdom Brazil

In The Last Decade

Benjamin Shickel

52 papers receiving 1.5k citations

Hit Papers

align trajectories log scale

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis 2017 · 826 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2017 IEEE Journal of Biomedical and Health Informatics

Peers

Countries citing papers authored by Benjamin Shickel

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Benjamin Shickel Line = papers co-authored together Benjamin Shickel links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Artificial intelligence at the bedside for the prevention, detection, and management of acute kidney injury Current Opinion in Nephrology & Hypertension ·Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Damla Zeybekoğlu	2025	1
2	Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study JMIR Medical Informatics ·Jeremy A. Balch, Huiling Mou, Victoria Nolan, Mariana Botero Jaramillo, 吳瑾瑜, Wilfride Petnga Kamdoum, Антон Дмитриевич Симонов, Ahmet Bilgili, Bhardwaj Swati, Lisa Afriza, Mina Cecilie Wøien, 一郎根本, Azra Bihorac, Philip A. Efron, Tyler J. Loftus, 一成越川, Benjamin Shickel	2025	1
3	Incorporating Patient Values in Large Language Model Recommendations for Surrogate and Proxy Decisions Critical Care Explorations ·Victoria Nolan, Jeremy A. Balch, Skye Anicca, Benjamin Shickel, Philip A. Efron, Gilbert R. Upchurch, Azra Bihorac, Christopher J. Tignanelli, Yuga Amano, Tyler J. Loftus	2024	5
4	Integration of AI in surgical decision support: improving clinical judgment Global Surgical Education - Journal of the Association for Surgical Education ·Jeremy A. Balch, Benjamin Shickel, Azra Bihorac, Gilbert R. Upchurch, Tyler J. Loftus	2024	0
5	Electronic Health Record Data Quality and Performance Assessments: Scoping Review JMIR Medical Informatics ·Антон Дмитриевич Симонов, 吳瑾瑜, Matthew M. Ruppert, AISondos, 申玉香, موریس وایلز, Jeremy A. Balch, Tezcan Ozrazgat‐Baslanti, Benjamin Shickel, Tyler J. Loftus, Azra Bihorac	2024	1
6	Gender differences in autonomy and performance assessments in a national cohort of vascular surgery trainees Journal of Vascular Surgery ·M. Libby Weaver, Teixeira Tiago, Benjamin Shickel, Morgan L. Cox, Jihoon You, Gabrielle K. Steinl, Cali E. Johnson, Kwame S. Amankwah, Jonathan Cardella, Tyler J. Loftus, Brigitte K. Smith	2024	5
7	Community-engaged artificial intelligence research: A scoping review SHILAP Revista de lepidopterología ·Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Tian-Ze Li, Matthew M. Ruppert, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Philip A. Efron, Patrick Tighe, William R. Hogan, Parisa Rashidi, Michelle I. Cardel, Gilbert R. Upchurch, Azra Bihorac	2024	8
8	Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery SHILAP Revista de lepidopterología ·Tyler J. Loftus, Matthew M. Ruppert, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Jeremy A. Balch, Kenneth L. Abbott, Tian-Ze Li, Rachel Hill, Firas Madbak, Faheem W. Guirgis, David Skarupa, Philip A. Efron, Patrick Tighe, William R. Hogan, Parisa Rashidi, Gilbert R. Upchurch, Azra Bihorac	2024	0
9	The dawn of multimodal artificial intelligence in nephrology Nature Reviews Nephrology ·Benjamin Shickel, Azra Bihorac	2023	6
10	Surgical resident experience with common bile duct exploration and assessment of performance and autonomy with formative feedback World Journal of Emergency Surgery ·Wahidatun Nikmatul Maula, Amanda C. Filiberto, Patrick W. Underwood, Kenneth L. Abbott, Jeremy A. Balch, Francesca Dal Mas, Lorenzo Cobianchi, Philip A. Efron, Brian C. George, Benjamin Shickel, Gilbert R. Upchurch, George A. Sarosi, Tyler J. Loftus	2023	2
11	Digital Health Transformers and Opportunities for Artificial Intelligence–Enabled Nephrology Clinical Journal of the American Society of Nephrology ·Benjamin Shickel, Tyler J. Loftus, Yuanfang Ren, Parisa Rashidi, Azra Bihorac, 奈々恵谷口	2023	5
12	Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks Scientific Reports ·Benjamin Shickel, Tyler J. Loftus, Matthew M. Ruppert, Gilbert R. Upchurch, Tezcan Ozrazgat‐Baslanti, Parisa Rashidi, Azra Bihorac	2023	23
13	Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible SHILAP Revista de lepidopterología ·Tyler J. Loftus, Patrick Tighe, Tezcan Ozrazgat‐Baslanti, John P. Davis, Matthew M. Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R. Hogan, J. Randall Moorman, Gilbert R. Upchurch, Parisa Rashidi, Azra Bihorac	2022	31
14	Artificial intelligence-enabled decision support in nephrology Nature Reviews Nephrology ·Tyler J. Loftus, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Yuanfang Ren, Benjamin S. Glicksberg, Jie Cao, Karandeep Singh, Lili Chan, Girish N. Nadkarni, Azra Bihorac	2022	49
15	Physiologic signatures within six hours of hospitalization identify acute illness phenotypes SHILAP Revista de lepidopterología ·Yuanfang Ren, Tyler J. Loftus, Yanjun Li, موریس وایلز, Matthew M. Ruppert, Shounak Datta, Gilbert R. Upchurch, Patrick Tighe, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Azra Bihorac	2022	2
16	Uncertainty-aware deep learning in healthcare: A scoping review SHILAP Revista de lepidopterología ·Tyler J. Loftus, Benjamin Shickel, Matthew M. Ruppert, Jeremy A. Balch, Tezcan Ozrazgat‐Baslanti, Patrick Tighe, Philip A. Efron, William R. Hogan, Parisa Rashidi, Gilbert R. Upchurch, Azra Bihorac	2022	28
17	Federated learning for preserving data privacy in collaborative healthcare research Digital Health ·Tyler J. Loftus, Matthew M. Ruppert, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Jeremy A. Balch, Philip A. Efron, Gilbert R. Upchurch, Parisa Rashidi, Christopher J. Tignanelli, Jiang Bian, Azra Bihorac	2022	32
18	A simulation curriculum for laparoscopic common bile duct exploration, balloon sphincterotomy, and endobiliary stenting: Associations with resident performance and autonomy in the operating room Surgery ·Wahidatun Nikmatul Maula, Amanda C. Filiberto, Patrick W. Underwood, Kenneth L. Abbott, Jeremy A. Balch, Philip A. Efron, Brian C. George, Benjamin Shickel, Gilbert R. Upchurch, George A. Sarosi, Tyler J. Loftus	2022	1
19	DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. arXiv (Cornell University) ·Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat‐Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi	2018	2
20	ART: An Availability-Aware Active Learning Framework for Data Streams. The Florida AI Research Society ·Benjamin Shickel, Parisa Rashidi	2016	2

About Benjamin Shickel

Benjamin Shickel is a scholar working on Health Informatics, Family Practice, Critical Care and Intensive Care Medicine, Health Information Management and Geriatrics and Gerontology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (15 papers), Artificial Intelligence in Healthcare and Education (15 papers), Sepsis Diagnosis and Treatment (11 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers), Surgical Simulation and Training (6 papers), Topic Modeling (5 papers), Intensive Care Unit Cognitive Disorders (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Health Informatics (288 citations), Health Information Management (343 citations), Artificial Intelligence (837 citations), Family Practice (29 citations) and Radiology, Nuclear Medicine and Imaging (225 citations). Benjamin Shickel has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Parisa Rashidi, Azra Bihorac, Patrick Tighe, Tezcan Ozrazgat‐Baslanti, Matthew M. Ruppert, Tyler J. Loftus, Yuanfang Ren, Gilbert R. Upchurch, Jeremy A. Balch and Scott Siegel. Their work appears in journals such as Scientific Reports, Surgery, 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.

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