Adam Schiavi

1.6k total citations
36 papers, 603 citations indexed

About

Adam Schiavi is a scholar working on Physiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Adam Schiavi has authored 36 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 13 papers in Surgery and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Adam Schiavi's work include Simulation-Based Education in Healthcare (14 papers), Innovations in Medical Education (6 papers) and Airway Management and Intubation Techniques (5 papers). Adam Schiavi is often cited by papers focused on Simulation-Based Education in Healthcare (14 papers), Innovations in Medical Education (6 papers) and Airway Management and Intubation Techniques (5 papers). Adam Schiavi collaborates with scholars based in United States, Cuba and Israel. Adam Schiavi's co-authors include Christina R. Miller, Serkan Toy, Vinciya Pandian, Marek A. Mirski, Nasir I. Bhatti, David Feller‐Kopman, Elliott R. Haut, Deborah A. Schwengel, L. Baumbach and Calixto Machado and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and The American Journal of Human Genetics.

In The Last Decade

Adam Schiavi

36 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Schiavi United States 15 193 193 163 102 88 36 603
B. Tourniaire France 12 66 0.3× 120 0.6× 173 1.1× 69 0.7× 33 0.4× 36 652
M P Wailoo United Kingdom 18 360 1.9× 157 0.8× 47 0.3× 109 1.1× 41 0.5× 43 801
Douglas M. Hildrew United States 8 253 1.3× 148 0.8× 107 0.7× 462 4.5× 30 0.3× 21 773
Liane Ioannou Australia 16 194 1.0× 67 0.3× 27 0.2× 78 0.8× 144 1.6× 38 789
Anil Patel United Kingdom 13 275 1.4× 136 0.7× 140 0.9× 130 1.3× 18 0.2× 26 774
Frédéric Dailler France 14 94 0.5× 229 1.2× 47 0.3× 19 0.2× 105 1.2× 56 912
John Crowther United Kingdom 15 104 0.5× 222 1.2× 86 0.5× 55 0.5× 18 0.2× 47 765
John Carl United States 10 411 2.1× 69 0.4× 30 0.2× 172 1.7× 69 0.8× 15 793
Michael Nochomovitz United States 14 211 1.1× 121 0.6× 31 0.2× 56 0.5× 40 0.5× 20 562
Caleb Smith United States 12 455 2.4× 172 0.9× 35 0.2× 82 0.8× 125 1.4× 30 828

Countries citing papers authored by Adam Schiavi

Since Specialization
Citations

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

Fields of papers citing papers by Adam Schiavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Schiavi

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Schiavi. A scholar is included among the top collaborators of Adam Schiavi 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 Adam Schiavi. Adam Schiavi 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.
Miller, Christina R., et al.. (2025). Debriefing Is Germane to Simulation-Based Learning: Parsing Cognitive Load Components and the Effect of Debriefing. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 20(6). 349–356. 1 indexed citations
2.
Schiavi, Adam, et al.. (2022). Measurement of Information Transfer During Simulated Sequential Complete Shift-to-Shift Intraoperative Handoffs. SHILAP Revista de lepidopterología. 7(1). 9–19. 1 indexed citations
3.
4.
Miller, Christina R., Eric M. Jackson, Benjamin Lee, Allan Gottschalk, & Adam Schiavi. (2020). Anesthesia Simulation Boot Camp—a Decade of Experience Enhancing Self-efficacy in First-year Residents. PubMed. 22(4). E653–E653. 4 indexed citations
5.
6.
Toy, Serkan, et al.. (2020). Evaluation of 3 Cognitive Load Measures During Repeated Simulation Exercises for Novice Anesthesiology Residents. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 15(6). 388–396. 9 indexed citations
7.
Miller, Christina R., et al.. (2020). The sim must go on: adapting resident education to the COVID-19 pandemic using telesimulation. SHILAP Revista de lepidopterología. 5(1). 26–26. 52 indexed citations
8.
Miller, Christina R., et al.. (2019). Training novice anaesthesiology trainees to speak up for patient safety. British Journal of Anaesthesia. 122(6). 767–775. 29 indexed citations
9.
Machado, Calixto, et al.. (2018). Very High Frequency Oscillations of Heart Rate Variability in Healthy Humans and in Patients with Cardiovascular Autonomic Neuropathy. Advances in experimental medicine and biology. 1070. 49–70. 17 indexed citations
10.
Machado, Calixto, et al.. (2018). Influence of Heart Rate, Age, and Gender on Heart Rate Variability in Adolescents and Young Adults. Advances in experimental medicine and biology. 1133. 19–33. 24 indexed citations
11.
Leeper, W. Robert, Elliott R. Haut, Vinciya Pandian, et al.. (2018). Multidisciplinary Difficult Airway Course: An Essential Educational Component of a Hospital-Wide Difficult Airway Response Program. Journal of surgical education. 75(5). 1264–1275. 16 indexed citations
12.
Pandian, Vinciya, Adam Schiavi, David Feller‐Kopman, et al.. (2016). Predicting the need for nonstandard tracheostomy tubes in critically ill patients. Journal of Critical Care. 37. 173–178. 9 indexed citations
13.
Mark, Lynette J., Kurt R. Herzer, Vinciya Pandian, et al.. (2015). Difficult Airway Response Team. Anesthesia & Analgesia. 121(1). 127–139. 78 indexed citations
14.
Pandian, Vinciya, Adam Schiavi, Lonny Yarmus, et al.. (2014). Utilization of a standardized tracheostomy capping and decannulation protocol to improve patient safety. The Laryngoscope. 124(8). 1794–1800. 48 indexed citations
15.
Yi, James, et al.. (2012). Flumazenil Pretreatment in Benzodiazepine-Free Patients. Journal of Ect. 28(3). 185–189. 15 indexed citations
16.
Yarmus, Lonny, Vinciya Pandian, Christopher R. Gilbert, et al.. (2012). Safety and Efficiency of Interventional Pulmonologists Performing Percutaneous Tracheostomy. Respiration. 84(2). 123–127. 24 indexed citations
17.
Schiavi, Adam, Alexander Papangelou, & Marek A. Mirski. (2009). Preoperative Preparation of the Surgical Patient with Neurologic Disease. Medical Clinics of North America. 93(5). 1123–1130. 5 indexed citations
18.
Schiavi, Adam, et al.. (2009). Preoperative Preparation of the Surgical Patient with Neurologic Disease. Anesthesiology Clinics. 27(4). 779–786. 2 indexed citations
19.
Kobayashi, Hitome, L. Baumbach, Tara C. Matise, et al.. (1995). A gene for a severe lethal form of X-linked arthrogryposis (X-linked infantile spinal muscular atrophy) maps to human chromosome Xp11.3-q11.2. Human Molecular Genetics. 4(7). 1213–1216. 54 indexed citations
20.
Baumbach, L. & Adam Schiavi. (1994). X-linked lethal infantile spinal muscular atrophy: From clinical description to molecular mapping. The American Journal of Human Genetics. 55. 1 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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