Daniel J. Scott

1.5k total citations
32 papers, 1.1k citations indexed

About

Daniel J. Scott is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Daniel J. Scott has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 16 papers in Public Health, Environmental and Occupational Health and 16 papers in Physiology. Recurrent topics in Daniel J. Scott's work include Surgical Simulation and Training (24 papers), Simulation-Based Education in Healthcare (16 papers) and Innovations in Medical Education (14 papers). Daniel J. Scott is often cited by papers focused on Surgical Simulation and Training (24 papers), Simulation-Based Education in Healthcare (16 papers) and Innovations in Medical Education (14 papers). Daniel J. Scott collaborates with scholars based in United States, Italy and Belgium. Daniel J. Scott's co-authors include E. Matt Ritter, James R. Korndorffer, Daniel B. Jones, Carla M. Pugh, Rebecca M. Minter, Gary L. Dunnington, Rosemary A. Kozar, Juan Cendán, Seifu T. Tesfay and Robert V. Rege and has published in prestigious journals such as Annals of Surgery, The Journal of Urology and The American Journal of Surgery.

In The Last Decade

Daniel J. Scott

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Scott United States 15 957 484 333 318 210 32 1.1k
E. Matthew Ritter United States 20 917 1.0× 412 0.9× 387 1.2× 360 1.1× 192 0.9× 61 1.3k
Patricia C. Bergen United States 9 1.4k 1.5× 691 1.4× 346 1.0× 291 0.9× 249 1.2× 10 1.6k
E. G. G. Verdaasdonk Netherlands 13 803 0.8× 401 0.8× 224 0.7× 207 0.7× 285 1.4× 14 1.0k
Christopher G. Andrew Canada 8 1.4k 1.4× 754 1.6× 357 1.1× 275 0.9× 373 1.8× 12 1.5k
Ravindar S. Sidhu Canada 12 650 0.7× 328 0.7× 244 0.7× 190 0.6× 203 1.0× 14 832
Royce Laycock United States 6 976 1.0× 623 1.3× 249 0.7× 258 0.8× 217 1.0× 6 1.1k
Lelan F. Sillin United States 16 1.4k 1.5× 423 0.9× 203 0.6× 222 0.7× 181 0.9× 34 1.7k
Kent R. Van Sickle United States 18 779 0.8× 394 0.8× 201 0.6× 254 0.8× 153 0.7× 25 884
Julián Varas Chile 18 702 0.7× 298 0.6× 290 0.9× 296 0.9× 116 0.6× 95 1.0k
S Bann United Kingdom 13 997 1.0× 544 1.1× 160 0.5× 223 0.7× 336 1.6× 20 1.2k

Countries citing papers authored by Daniel J. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Scott. 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 Daniel J. Scott. The network helps show where Daniel J. Scott may publish in the future.

Co-authorship network of co-authors of Daniel J. Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Scott. A scholar is included among the top collaborators of Daniel J. Scott 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 Daniel J. Scott. Daniel J. Scott 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
2.
Scott, Daniel J., et al.. (2024). Proficiency Levels and Validity Evidence for Scoring Metrics for a Virtual Reality and Inanimate Robotic Surgery Simulation Curriculum. Journal of surgical education. 81(4). 589–596. 7 indexed citations
3.
Jamieson, Andrew R., et al.. (2024). Rubrics to Prompts: Assessing Medical Student Post-Encounter Notes with AI. NEJM AI. 1(12). 12 indexed citations
4.
Rege, Robert V., et al.. (2022). At-home medical student simulation: achieving knot-tying proficiency using video-based assessment. Global Surgical Education - Journal of the Association for Surgical Education. 1(1). 4–4. 2 indexed citations
5.
Scott, Daniel J., et al.. (2022). Developing a Robotic Surgery Curriculum: Selection of Virtual Reality Drills for Content Alignment. Journal of Surgical Research. 283. 726–732. 14 indexed citations
6.
Scott, Daniel J., et al.. (2019). Are you better off than you were 4 years ago? Measuring the impact of the ABS flexible endoscopy curriculum. Surgical Endoscopy. 34(9). 4110–4114. 5 indexed citations
7.
Park, Caroline, Jennifer Grant, Ryan P. Dumas, et al.. (2019). Does simulation work? Monthly trauma simulation and procedural training are associated with decreased time to intervention. The Journal of Trauma: Injury, Infection, and Critical Care. 88(2). 242–248. 26 indexed citations
8.
Scott, Daniel J., et al.. (2019). Multidisciplinary Simulation Activity Effectively Prepares Residents for Participation in Patient Safety Activities. Journal of surgical education. 76(6). e232–e237. 5 indexed citations
9.
Farr, Deborah, et al.. (2018). A proficiency-based surgical boot camp May not provide trainees with a durable foundation in fundamental surgical skills. The American Journal of Surgery. 217(2). 244–249. 9 indexed citations
10.
Mellinger, John D., Reed G. Williams, Hilary Sanfey, et al.. (2016). Teaching and assessing operative skills: From theory to practice. Current Problems in Surgery. 54(2). 44–81. 17 indexed citations
11.
Gardner, Aimee K., Marc DeMoya, Glen Tinkoff, et al.. (2016). Using simulation for disaster preparedness. Surgery. 160(3). 565–570. 19 indexed citations
12.
Gardner, Aimee K. & Daniel J. Scott. (2015). Concepts for Developing Expert Surgical Teams Using Simulation. Surgical Clinics of North America. 95(4). 717–728. 11 indexed citations
13.
Stefanidis, Dimitrios, Harsh Grewal, John T. Paige, et al.. (2014). Establishing technical performance norms for general surgery residents. Surgical Endoscopy. 28(11). 3179–3185. 11 indexed citations
14.
Glass, Charity C., Robert D. Acton, Patrice Gabler Blair, et al.. (2013). American College of Surgeons/Association for Surgical Education medical student simulation-based surgical skills curriculum needs assessment. The American Journal of Surgery. 207(2). 165–169. 30 indexed citations
16.
Korndorffer, James R., et al.. (2006). Laparoscopic skills laboratories: current assessment and a call for resident training standards. The American Journal of Surgery. 191(1). 17–22. 150 indexed citations
17.
Scott, Daniel J.. (2006). Patient Safety, Competency, and the Future of Surgical Simulation. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 1(3). 164–170. 76 indexed citations
18.
Sims, Thomas L., et al.. (2003). Intraoperative ultrasound and prophylactic ursodiol for gallstone prevention following laparoscopic gastric bypass. Surgical Endoscopy. 17(11). 1796–1802. 58 indexed citations
19.
Scott, Daniel J., R. James Valentine, Patricia C. Bergen, et al.. (2000). Evaluating surgical competency with the American Board of Surgery In-Training Examination, skill testing, and intraoperative assessment. Surgery. 128(4). 613–622. 115 indexed citations
20.
Hampton, J. G. & Daniel J. Scott. (1990). New Zealand seed certification.. 3(3). 173–180. 6 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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