Amy Cohn

708 total citations
34 papers, 499 citations indexed

About

Amy Cohn is a scholar working on Emergency Medical Services, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Amy Cohn has authored 34 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Emergency Medical Services, 9 papers in Management Science and Operations Research and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Amy Cohn's work include Healthcare Operations and Scheduling Optimization (11 papers), Scheduling and Timetabling Solutions (5 papers) and Hospital Admissions and Outcomes (5 papers). Amy Cohn is often cited by papers focused on Healthcare Operations and Scheduling Optimization (11 papers), Scheduling and Timetabling Solutions (5 papers) and Hospital Admissions and Outcomes (5 papers). Amy Cohn collaborates with scholars based in United States. Amy Cohn's co-authors include Karmel S. Shehadeh, James Cutler, Sara Spangelo, Ruiwei Jiang, Neng Fan, Sarah Root, Marina A. Epelman, Ali Pınar, Brian T. Denton and Alon Z. Weizer and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Power Systems and Investigative Ophthalmology & Visual Science.

In The Last Decade

Amy Cohn

32 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy Cohn United States	13	166	119	97	86	84	34	499
Eduardo Pérez United States	15	182 1.1×	66 0.6×	107 1.1×	106 1.2×	25 0.3×	53	716
Mustafa Y. Sır United States	16	179 1.1×	88 0.7×	21 0.2×	77 0.9×	98 1.2×	66	752
Shervin AhmadBeygi United States	7	91 0.5×	90 0.8×	216 2.2×	108 1.3×	10 0.1×	13	476
Matthew J. Robbins United States	16	29 0.2×	41 0.3×	130 1.3×	58 0.7×	27 0.3×	38	641
Sara Khodaparasti Italy	13	44 0.3×	42 0.4×	64 0.7×	253 2.9×	15 0.2×	25	530
Nadia Lahrichi Canada	15	229 1.4×	268 2.3×	18 0.2×	741 8.6×	33 0.4×	50	1.2k
Dennis C. Dietz United States	10	196 1.2×	67 0.6×	27 0.3×	49 0.6×	11 0.1×	26	355
Izack Cohen Israel	15	37 0.2×	250 2.1×	45 0.5×	143 1.7×	25 0.3×	27	529
Matthew Rosenshine United States	12	80 0.5×	101 0.8×	17 0.2×	81 0.9×	38 0.5×	29	375

Countries citing papers authored by Amy Cohn

Since Specialization

Citations

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

Fields of papers citing papers by Amy Cohn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Cohn

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

All Works

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20 of 20 papers shown

Cohn, Amy, et al.. (2023). A two-stage partial fixing approach for solving the residency block scheduling problem. Health Care Management Science. 26(2). 363–393.

Kurlander, Jacob E., Akbar K. Waljee, Stacy B. Menees, et al.. (2021). Regression and Random Forest Machine Learning Have Limited Performance in Predicting Bowel Preparation in Veteran Population. Digestive Diseases and Sciences. 67(7). 2827–2841. 4 indexed citations

Cohn, Amy, et al.. (2020). Integrated Simulation Tool to Analyze Patient Access to and Flow During Colonoscopy Appointments. 934–943. 3 indexed citations

Abdellatif, Mohamed, et al.. (2019). Infrastructure Robotics Research at the University of Leeds. 1 indexed citations

Cohn, Amy, et al.. (2019). Using Discrete-Event Simulation to Find Ways to Reduce Patient Wait Time in A Glaucoma Clinic. PubMed. 57. 1243–1254. 3 indexed citations

Shehadeh, Karmel S., Amy Cohn, & Marina A. Epelman. (2019). Analysis of models for the Stochastic Outpatient Procedure Scheduling Problem. European Journal of Operational Research. 279(3). 721–731. 29 indexed citations

Richardson, Donald & Amy Cohn. (2018). Modeling the impact of make-ahead chemotherapy drug policies through discrete-event simulation. Winter Simulation Conference. 2690–2700. 1 indexed citations

Richardson, Donald & Amy Cohn. (2018). MODELING THE IMPACT OF MAKE-AHEAD CHEMOTHERAPY DRUG POLICIES THROUGH DISCRETE-EVENT SIMULATION. 2018 Winter Simulation Conference (WSC). 2690–2700. 3 indexed citations

Patel, Nish, et al.. (2017). Lean evaluation of glaucoma clinic wait times to inform the development of an educational intervention. Investigative Ophthalmology & Visual Science. 58(8). 5048–5048. 1 indexed citations

10.

Cohn, Amy, et al.. (2017). Algorithm for the N-2 Security-Constrained Unit Commitment Problem with Transmission Switching. INFORMS journal on computing. 29(4). 645–659. 8 indexed citations

11.

Richardson, Donald, Seth D. Guikema, & Amy Cohn. (2017). Predicting Patient Treatment Deferrals at an Outpatient Chemotherapy Infusion Center: A Statistical Approach. JCO Clinical Cancer Informatics. 1(1). 1–8. 1 indexed citations

12.

Runaas, Lyndsey, David A. Hanauer, Molly E. Maher, et al.. (2017). BMT Roadmap: A User-Centered Design Health Information Technology Tool to Promote Patient-Centered Care in Pediatric Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 23(5). 813–819. 42 indexed citations

13.

Cohn, Amy, et al.. (2016). A stochastic programming approach to reduce patient wait times and overtime in an outpatient infusion center. 6(3). 111–125. 41 indexed citations

14.

Cohn, Amy, et al.. (2016). Algorithm to solve a chance‐constrained network capacity design problem with stochastic demands and finite support. Naval Research Logistics (NRL). 63(3). 236–246.

15.

Cohn, Amy, et al.. (2016). Transmission expansion with smart switching under demand uncertainty and line failures. Energy Systems. 8(3). 549–580. 12 indexed citations

16.

Spangelo, Sara, et al.. (2014). Optimization-based scheduling for the single-satellite, multi-ground station communication problem. Computers & Operations Research. 57. 1–16. 90 indexed citations

17.

Cohn, Amy, et al.. (2012). Predicting Emergency Department Volume Using Forecasting Methods to Create a “Surge Response” for Noncrisis Events. Academic Emergency Medicine. 19(5). 569–576. 19 indexed citations

18.

Cohn, Amy, et al.. (2009). Scheduling Medical Residents at Boston University School of Medicine. INFORMS Journal on Applied Analytics. 39(3). 186–195. 55 indexed citations

19.

Cohn, Amy. (2008). Constructing pareto-optimal residency call schedules. International Conference on Information Systems. 1 indexed citations

20.

Cohn, Amy, et al.. (2005). A Framework for Evaluating Production Policies to Improve Customer Responsiveness. CIRP Annals. 54(1). 401–406. 14 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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