David A. Hanauer

105 papers receiving 3.6k citations

David A. Hanauer's Hit Papers

Supporting information retrieval from electronic health records: A report of University of Michigan’s nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE) 2015 · 327 citations
3270+4+8Years since publication100200300

Peers

David A. Hanauer
Comparison fields: 5 of 160
  • Health Information Management 416
  • Emergency Medical Services 180
  • General Health Professions 591
  • Hematology 237
  • Issues, ethics and legal aspects 24
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Citations per year

Countries citing papers authored by David A. Hanauer

Since Specialization
Citations

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

Fields of papers citing papers by David A. Hanauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Hanauer. 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 David A. Hanauer. The network helps show where David A. Hanauer may publish in the future.

Co-authors

The 25 scholars most cited alongside David A. Hanauer, 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 David A. Hanauer Line = papers co-authored together David A. Hanauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Supporting information retrieval from electronic health records: A report of University of Michigan’s nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE)
Hit paper breakdown →
2015327
2
Public Awareness, Perception, and Use of Online Physician Rating Sites
Hit paper breakdown →
2014296
3 2009219
4 2011139
5 2009127
6 2010118
7 2010111
8 2014108
9
EMERSE: The Electronic Medical Record Search Engine.
200687
10 200486
11 201575
12 200971
13 201562
14 200761
15 201461
16 200761
17 201257
18 201457
19 200956
20 201453

About David A. Hanauer

David A. Hanauer is a scholar working on Health Information Management, General Health Professions, Molecular Biology, Artificial Intelligence and Information Systems, having authored 111 papers that have together received 3.8k indexed citations. Recurring topics across this work include Electronic Health Records Systems (22 papers), Mobile Health and mHealth Applications (12 papers), Biomedical Text Mining and Ontologies (11 papers), Health Literacy and Information Accessibility (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Data Quality and Management (5 papers), Healthcare Systems and Technology (5 papers) and Healthcare Policy and Management (4 papers). The work is most often cited by research in Health Information Management (416 citations), Emergency Medical Services (180 citations), General Health Professions (591 citations), Hematology (237 citations) and Issues, ethics and legal aspects (24 citations). David A. Hanauer has collaborated with scholars based in United States, Vietnam and South Korea. Frequent co-authors include Kai Zheng, Qiaozhu Mei, Sung Won Choi, Dianne Singer, Achamyeleh Gebremariam, Matthew M. Davis, Ritu Khanna, James Law, Katherine Wentzell and Lori M. Laffel. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Medical Informatics, Biology of Blood and Marrow Transplantation, Journal of Biomedical Informatics and PLoS ONE.

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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