Daniel Lorence

1.5k citations
67 papers · 1.1k · h-index 16

Impact in

Papers in

Daniel Lorence

64 papers receiving 1.0k citations

Peers

Daniel Lorence
Comparison fields: 5 of 126
  • Health Information Management 123
  • Health 159
  • General Health Professions 441
  • Applied Psychology 39
  • Information Systems and Management 46
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Julie A. Gray United Kingdom
Alex Jadad Canada
Ken Masters Oman
Shariq Khoja Pakistan
Catherine Arnott Smith United States
Heiko Spallek United States
van Marjolein Offenbeek Netherlands
José F. Arocha Canada
Mahnaz Samadbeik Iran
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Lorence

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lorence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Daniel Lorence, 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 Daniel Lorence Line = papers co-authored together Daniel Lorence links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006149
2 1993133
3 200498
4
Benchmarking variation in coding accuracy across the United States.
200377
5 200666
6 200850
7
Web-based consumer health information: public access, digital division, and remainders.
200646
8 200243
9 200442
10 200739
11 200634
12 200724
13 200820
14 200318
15 200518
16
Disparity in coding concordance: do physicians and coders agree?
200317
17 200215
18 200514
19 200314
20 200212

About Daniel Lorence

Daniel Lorence is a scholar working on General Health Professions, Health Information Management, Epidemiology, Economics and Econometrics and Health, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (19 papers), Medical Coding and Health Information (13 papers), Electronic Health Records Systems (11 papers), Social Media in Health Education (8 papers), Data-Driven Disease Surveillance (7 papers), Mobile Health and mHealth Applications (6 papers), Healthcare Policy and Management (5 papers) and Primary Care and Health Outcomes (5 papers). The work is most often cited by research in Health Information Management (123 citations), Health (159 citations), General Health Professions (441 citations), Applied Psychology (39 citations) and Information Systems and Management (46 citations). Daniel Lorence has collaborated with scholars based in United States, Türkiye and Jordan. Frequent co-authors include Heeyoung Park, Susannah Fox, Amanda Spink, H. Cenk Özmutlu, Ann Barry Flood, Jiao Ding, Klim McPherson, Nicholas Black, Yin Yang and Seda Özmutlu. Their work appears in journals such as Journal of Medical Systems, Health Information & Libraries Journal, The Journal of Behavioral Health Services & Research, Information Processing & Management and International Journal of Intellectual Property Management.

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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