William Fleischman

26 papers receiving 882 citations

Hit Papers

Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach 2015 · 336 citations
3360+3+7Years since publication100200300

Peers

William Fleischman
Comparison fields: 5 of 122
  • Health Informatics 34
  • Family Practice 46
  • Pharmacology 167
  • Emergency Medicine 172
  • Health Information Management 81
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Rosa Gini Italy
Paul Avillach United States
Ioana Danciu United States
Mark McGilchrist United Kingdom
Jari Forsström Finland
Rashmee U. Shah United States
Manfred Hauben United States
Eric S. Kirkendall United States
Ruijun Chen United States
C Friedman United States
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Citations per year

Countries citing papers authored by William Fleischman

Since Specialization
Citations

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

Fields of papers citing papers by William Fleischman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Fleischman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Fleischman Line = papers co-authored together William Fleischman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach
Hit paper breakdown →
2015336
2 2016110
3 201786
4
Hypertension and the rate of cognitive decline in patients with dementia of the Alzheimer type.
200576
5 201544
6 197039
7 201335
8 201631
9 201629
10 201525
11 197023
12 197016
13 200913
14 201912
15 201911
16 201610
17 20169
18 20148
19 20177
20 20155

About William Fleischman

William Fleischman is a scholar working on General Health Professions, Economics and Econometrics, Pharmacology, Emergency Medicine and Geometry and Topology, having authored 28 papers that have together received 937 indexed citations. Recurring topics across this work include Pharmaceutical industry and healthcare (5 papers), Healthcare cost, quality, practices (5 papers), Pharmaceutical Economics and Policy (5 papers), Emergency and Acute Care Studies (4 papers), Advanced Topology and Set Theory (3 papers), Healthcare Systems and Technology (2 papers), Ethics and Social Impacts of AI (2 papers) and Frailty in Older Adults (2 papers). The work is most often cited by research in Health Informatics (34 citations), Family Practice (46 citations), Pharmacology (167 citations), Emergency Medicine (172 citations) and Health Information Management (81 citations). William Fleischman has collaborated with scholars based in United States, France and Portugal. Frequent co-authors include Arjun K. Venkatesh, Edward R. Melnick, M. Kennedy Hall, Richard A. Taylor, Joseph R. Pare, Hani Mowafi, Joseph S. Ross, Shantanu Agrawal, Harlan M. Krumholz and Douglas Brown. Their work appears in journals such as Academic Emergency Medicine, The American Journal of Emergency Medicine, Annals of Emergency Medicine, Proceedings of the American Mathematical Society and JAMA Network Open.

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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