Paul S. Heckerling

2.6k total citations
60 papers, 1.8k citations indexed

About

Paul S. Heckerling is a scholar working on Pediatrics, Perinatology and Child Health, Family Practice and Surgery. According to data from OpenAlex, Paul S. Heckerling has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pediatrics, Perinatology and Child Health, 11 papers in Family Practice and 9 papers in Surgery. Recurrent topics in Paul S. Heckerling's work include Clinical Reasoning and Diagnostic Skills (11 papers), Prenatal Screening and Diagnostics (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (6 papers). Paul S. Heckerling is often cited by papers focused on Clinical Reasoning and Diagnostic Skills (11 papers), Prenatal Screening and Diagnostics (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (6 papers). Paul S. Heckerling collaborates with scholars based in United States. Paul S. Heckerling's co-authors include Ben S. Gerber, Marion S. Verp, Robert S. Wigton, Arthur S. Elstein, Thomas G. Tape, Charles P. Friedman, Paul L. Fine, Fredric M. Wolf, Gwendolyn C. Murphy and Timothy M. Franz and has published in prestigious journals such as JAMA, Annals of Internal Medicine and Diabetes Care.

In The Last Decade

Paul S. Heckerling

60 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul S. Heckerling United States 23 330 280 260 258 211 60 1.8k
Frank Sanfilippo Australia 31 372 1.1× 327 1.2× 251 1.0× 530 2.1× 179 0.8× 197 3.3k
Jonathan R. Nebeker United States 23 246 0.7× 187 0.7× 165 0.6× 106 0.4× 272 1.3× 91 2.7k
Robert A. Greevy United States 36 454 1.4× 310 1.1× 134 0.5× 492 1.9× 117 0.6× 125 3.8k
Brian C. Sauer United States 31 225 0.7× 405 1.4× 157 0.6× 599 2.3× 243 1.2× 177 3.8k
Robert M. Centor United States 27 634 1.9× 374 1.3× 165 0.6× 629 2.4× 121 0.6× 55 3.3k
Ilkka Kunnamo Finland 26 458 1.4× 420 1.5× 121 0.5× 312 1.2× 69 0.3× 77 2.1k
Kazuhiko Ohe Japan 29 443 1.3× 337 1.2× 74 0.3× 250 1.0× 113 0.5× 196 2.8k
Rajeev Chaudhry United States 26 523 1.6× 372 1.3× 81 0.3× 360 1.4× 92 0.4× 99 1.9k
Janice L. Kwan Canada 17 419 1.3× 193 0.7× 155 0.6× 211 0.8× 98 0.5× 39 1.6k
Tewodros Eguale United States 27 253 0.8× 222 0.8× 192 0.7× 573 2.2× 328 1.6× 64 2.7k

Countries citing papers authored by Paul S. Heckerling

Since Specialization
Citations

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

Fields of papers citing papers by Paul S. Heckerling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul S. Heckerling. 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 Paul S. Heckerling. The network helps show where Paul S. Heckerling may publish in the future.

Co-authorship network of co-authors of Paul S. Heckerling

This figure shows the co-authorship network connecting the top 25 collaborators of Paul S. Heckerling. A scholar is included among the top collaborators of Paul S. Heckerling 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 Paul S. Heckerling. Paul S. Heckerling 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.
Schwartz, Alan, et al.. (2009). Development of Goal-Sensitive Health-Related Utility Assessment Procedures. Medical Decision Making. 29(5). 590–598. 3 indexed citations
2.
Schwartz, Alan, et al.. (2008). Life Goals and Health Decisions: What Will People Live (or Die) For?. Medical Decision Making. 28(2). 209–219. 11 indexed citations
3.
Heckerling, Paul S.. (2006). Placebo surgery research: A blinding imperative. Journal of Clinical Epidemiology. 59(9). 876–880. 19 indexed citations
4.
Heckerling, Paul S., et al.. (2006). Predictors of urinary tract infection based on artificial neural networks and genetic algorithms. International Journal of Medical Informatics. 76(4). 289–296. 50 indexed citations
5.
Friedman, Charles P., Guido Gatti, Timothy M. Franz, et al.. (2005). Do physicians know when their diagnoses are correct?. Journal of General Internal Medicine. 20(4). 334–339. 139 indexed citations
6.
Gerber, Ben S., Irwin Brodsky, Kimberly A. Lawless, et al.. (2005). Implementation and Evaluation of a Low-Literacy Diabetes Education Computer Multimedia Application. Diabetes Care. 28(7). 1574–1580. 180 indexed citations
7.
Heckerling, Paul S., Ben S. Gerber, Thomas G. Tape, & Robert S. Wigton. (2003). Prediction of Community-Acquired Pneumonia Using Artificial Neural Networks. Medical Decision Making. 23(2). 112–121. 27 indexed citations
8.
Friedman, Charles P., Guido Gatti, Gwendolyn C. Murphy, et al.. (2002). Exploring the boundaries of plausibility: empirical study of a key problem in the design of computer-based clinical simulations.. PubMed. 275–9. 2 indexed citations
9.
Heckerling, Paul S.. (2001). Parametric Three-Way Receiver Operating Characteristic Surface Analysis Using Mathematica. Medical Decision Making. 21(5). 409–417. 43 indexed citations
10.
Friedman, Charles P., Arthur S. Elstein, Fredric M. Wolf, et al.. (1999). Enhancement of Clinicians' Diagnostic Reasoning by Computer-Based Consultation. JAMA. 282(19). 1851–1851. 155 indexed citations
11.
Heckerling, Paul S., Marion S. Verp, & Nancy M. Albert. (1998). The Role of Physician Preferences in the Choice of Amniocentesis or Chorionic Villus Sampling for Prenatal Genetic Testing. Genetic Testing. 2(1). 61–66. 4 indexed citations
12.
Elstein, Arthur S., Charles P. Friedman, Fredric M. Wolf, et al.. (1996). Effects of a Decision Support System on the Diagnostic Accuracy of Users: A Preliminary Report. Journal of the American Medical Informatics Association. 3(6). 422–428. 23 indexed citations
13.
Heckerling, Paul S. & Khawaja Afzal Ammar. (1996). Bromide Intoxication due to Propantheline Bromide. American Journal of Nephrology. 16(6). 537–539. 8 indexed citations
14.
Elstein, Arthur S., et al.. (1993). Diagnostic Reasoning of High - and Low - domain-knowledge Clinicians. Medical Decision Making. 13(1). 21–29. 19 indexed citations
15.
Heckerling, Paul S., Thomas G. Tape, & Robert S. Wigton. (1992). Relation of Physicians' Predicted Probabilities of Pneumonia to Their Utilities for Ordering Chest X-rays to Detect Pneumonia. Medical Decision Making. 12(1). 32–38. 14 indexed citations
16.
Heckerling, Paul S. & Marion S. Verp. (1991). Amniocentesis or chorionic villus sampling for prenatal genetic testing: A decision analysis. Journal of Clinical Epidemiology. 44(7). 657–670. 52 indexed citations
17.
Heckerling, Paul S., et al.. (1991). The effect of incomplete knowledge on the diagnoses of a computer consultant system. Medical Informatics. 16(4). 363–370. 14 indexed citations
18.
Steward, David S., Caryn Christensen, Paul S. Heckerling, et al.. (1991). Framing Bias among Expert and Novice Physicians. Academic Medicine. 66(Supplement). S76–S78. 1 indexed citations
19.
Heckerling, Paul S., et al.. (1990). Clinical Prediction Rule for Pulmonary Infiltrates. Annals of Internal Medicine. 113(9). 664–670. 140 indexed citations
20.
Heckerling, Paul S.. (1983). Aeromonas hydrophila myonecrosis and gas gangrene in a nonimmunocompromised host. Archives of Internal Medicine. 143(10). 2005–2007. 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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