Daniel Lorence

1.5k citations
69 papers · 1.2k · h-index 17

Impact in

Papers in

Daniel Lorence

65 papers receiving 1.1k citations

Peers

Daniel Lorence
Comparison fields: 5 of 118
  • Health Information Management 106
  • General Health Professions 389
  • Health 100
  • Medical Terminology 2
  • Information Systems and Management 48
Replace Julie A. Gray with:
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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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006162
2 1993137
3 2004106
4
Benchmarking variation in coding accuracy across the United States.
200379
5 200667
6 200853
7 200250
8
Web-based consumer health information: public access, digital division, and remainders.
200649
9 200445
10 200640
11 200739
12 200727
13 200823
14 200523
15 200318
16 200517
17
Disparity in coding concordance: do physicians and coders agree?
200317
18 200215
19 200314
20 200213

About Daniel Lorence

Daniel Lorence is a scholar working on General Health Professions, Health Information Management, Epidemiology, Economics and Econometrics and Health, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (20 papers), Medical Coding and Health Information (12 papers), Electronic Health Records Systems (11 papers), Data-Driven Disease Surveillance (8 papers), Social Media in Health Education (7 papers), Primary Care and Health Outcomes (5 papers), Mobile Health and mHealth Applications (5 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Health Information Management (106 citations), General Health Professions (389 citations), Health (100 citations), Medical Terminology (2 citations) and Information Systems and Management (48 citations). Daniel Lorence has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Heeyoung Park, Amanda Spink, Susannah Fox, H. Cenk Özmutlu, Ann Barry Flood, Jiao Ding, Nicholas Black, Klim McPherson, Bernard J. Jansen and Yin Yang. Their work appears in journals such as Journal of Medical Systems, Health Information & Libraries Journal, The Journal of Behavioral Health Services & Research, Journal of General Internal Medicine 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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