John Rapoport

3.2k total citations
38 papers, 2.1k citations indexed

About

John Rapoport is a scholar working on Economics and Econometrics, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, John Rapoport has authored 38 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in General Health Professions. Recurrent topics in John Rapoport's work include Healthcare Policy and Management (8 papers), Sepsis Diagnosis and Treatment (8 papers) and Emergency and Acute Care Studies (6 papers). John Rapoport is often cited by papers focused on Healthcare Policy and Management (8 papers), Sepsis Diagnosis and Treatment (8 papers) and Emergency and Acute Care Studies (6 papers). John Rapoport collaborates with scholars based in United States, Canada and United Kingdom. John Rapoport's co-authors include Stanley Lemeshow, Daniel Teres, Edwin Mansfield, Samuel Wagner, Anthony A. Romeo, STANLEY LEMESHOW, Stephen H. Gehlbach, DANIEL TERES, Philip Jacobs and Jill Spitz Avrunin and has published in prestigious journals such as JAMA, Annals of Internal Medicine and The Quarterly Journal of Economics.

In The Last Decade

John Rapoport

34 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Rapoport United States 21 701 653 509 393 287 38 2.1k
John E. Billi United States 22 206 0.3× 222 0.3× 1.4k 2.8× 285 0.7× 246 0.9× 47 2.6k
Jim Briggs United Kingdom 19 424 0.6× 286 0.4× 508 1.0× 107 0.3× 163 0.6× 74 2.3k
Dean G. Smith United States 25 139 0.2× 805 1.2× 226 0.4× 291 0.7× 227 0.8× 110 2.1k
Johannes Stoelwinder Australia 29 407 0.6× 547 0.8× 1.1k 2.2× 403 1.0× 473 1.6× 89 4.0k
Martin Utley United Kingdom 31 511 0.7× 363 0.6× 213 0.4× 433 1.1× 548 1.9× 110 3.3k
Leigh Kinsman Australia 31 571 0.8× 799 1.2× 1.4k 2.7× 343 0.9× 298 1.0× 107 4.4k
David Meltzer United States 32 462 0.7× 1.4k 2.1× 553 1.1× 235 0.6× 357 1.2× 98 4.2k
Melissa Honour United States 11 474 0.7× 93 0.1× 482 0.9× 373 0.9× 561 2.0× 11 3.6k
Thomas Rotter Canada 23 246 0.4× 506 0.8× 217 0.4× 195 0.5× 247 0.9× 60 2.5k
Paul E. Plsek United States 21 294 0.4× 582 0.9× 207 0.4× 103 0.3× 253 0.9× 49 3.9k

Countries citing papers authored by John Rapoport

Since Specialization
Citations

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

Fields of papers citing papers by John Rapoport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Rapoport

This figure shows the co-authorship network connecting the top 25 collaborators of John Rapoport. A scholar is included among the top collaborators of John Rapoport 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 John Rapoport. John Rapoport 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.
Negrini, Daniela, Gary Mills, Philip Jacobs, et al.. (2005). International Programme for Resource Use in Critical Care (IPOC) – a methodology and initial results of cost and provision in four European countries. Acta Anaesthesiologica Scandinavica. 50(1). 72–79. 38 indexed citations
2.
Rapoport, John, Philip Jacobs, Neil R. Bell, & Scott Klarenbach. (2004). Refining the measurement of the economic burden of chronic diseases in Canada.. PubMed. 25(1). 13–21. 108 indexed citations
3.
Jacobs, Philip, John Rapoport, & David Edbrooke. (2004). Economies of scale in British intensive care units and combined intensive care/high dependency units. Intensive Care Medicine. 30(4). 660–664. 40 indexed citations
4.
Higgins, Thomas L., William T. McGee, Jay S. Steingrub, et al.. (2003). Early indicators of prolonged intensive care unit stay: Impact of illness severity, physician staffing, and pre–intensive care unit length of stay. Critical Care Medicine. 31(1). 45–51. 165 indexed citations
5.
Rapoport, John, et al.. (2003). Length of Stay Data as a Guide to Hospital Economic Performance for ICU Patients. Medical Care. 41(3). 386–397. 135 indexed citations
6.
Teres, Daniel, et al.. (2002). Effects of severity of illness on resource use by survivors and nonsurvivors of severe sepsis at intensive care unit admission*. Critical Care Medicine. 30(11). 2413–2419. 35 indexed citations
7.
8.
Rapoport, John, Daniel Teres, & Stanley Lemeshow. (1996). Resource Use Implications of Do Not Resuscitate Orders for Intensive Care Unit Patients. American Journal of Respiratory and Critical Care Medicine. 153(1). 185–190. 38 indexed citations
9.
Rapoport, John, Daniel Teres, Philip Jacobs, et al.. (1995). A comparison of intensive care unit utilization in Alberta and western Massachusetts. Critical Care Medicine. 23(8). 1336–1346. 46 indexed citations
10.
Norris, Colleen M., Philip Jacobs, John Rapoport, & Stewart M. Hamilton. (1995). ICU and non-ICU cost per day. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 42(3). 192–196. 68 indexed citations
11.
Teres, Daniel, et al.. (1995). LEGISLATING DNR ORDERS IN THE ICU: COMPARING NEW YORK STATE TO SURROUNDING STATES WITHOUT A LEGISLATED APPROACH. Critical Care Medicine. 23(Supplement). A35–A35. 1 indexed citations
12.
Rapoport, John, DANIEL TERES, STANLEY LEMESHOW, & Stephen H. Gehlbach. (1994). A method for assessing the clinical performance and cost-effectiveness of intensive care units. Critical Care Medicine. 22(9). 1385–1391. 154 indexed citations
13.
LEMESHOW, STANLEY, Daniel Teres, Jill Spitz Avrunin, et al.. (1994). Mortality probability models for patients in the intensive care unit for 48 or 72 hours. Critical Care Medicine. 22(9). 1351–1358. 132 indexed citations
14.
Rapoport, John, et al.. (1990). Explaining Variability of Cost Using a Severity-of-lllness Measure for ICU Patients. Medical Care. 28(4). 338–348. 65 indexed citations
15.
Rapoport, John, DANIEL TERES, STANLEY LEMESHOW, & D.R. Harris. (1990). Timing of intensive care unit admission in relation to ICU outcome. Critical Care Medicine. 18(11). 1231–1235. 58 indexed citations
16.
Rapoport, John, et al.. (1989). Impact of Physical Therapy Weekend Coverage on Length of Stay in an Acute Care Community Hospital. Physical Therapy. 69(1). 32–37. 39 indexed citations
17.
Rapoport, John. (1978). Diffusion of technological innovation among nonprofit firms: a case study of radioisotopes in U.S. hospitals.. PubMed. 30(2). 108–18. 24 indexed citations
18.
Mansfield, Edwin & John Rapoport. (1975). The Costs of Industrial Product Innovations. Management Science. 21(12). 1380–1386. 24 indexed citations
19.
Mantel, Samuel J., et al.. (1973). Research and Innovation in the Modern Corporation. Technology and Culture. 14(4). 663–663. 146 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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