Nathaniel Hendrix

641 citations
35 papers · 404 · h-index 12

Impact in

Papers in

Nathaniel Hendrix

35 papers receiving 389 citations

Peers

Nathaniel Hendrix
Comparison fields: 5 of 74
  • Health Informatics 88
  • Health Information Management 43
  • Pharmacology 22
  • Immunology 40
  • Economics and Econometrics 50
Replace Jae Hyun Kim with:
Jae Hyun Kim South Korea
Jonca C. Bull United States
John C. W. Lim Singapore
Hui–Hsing Wong United States
Isabelle Bossé France
Emer Cooke Netherlands
Alex Asiimwe Germany
Michiel Van Eerd Germany
Rakesh Kumar Yadav India
Eve Mathieu‐Dupas France
Nathaniel Hendrix relative to Jae Hyun Kim South Korea Jae Hyun Kim's profile →
Citations per field
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Jae Hyun Kim · 1×
Citations per year

Countries citing papers authored by Nathaniel Hendrix

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Hendrix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202160
2 202040
3 201830
4 202424
5 201723
6 201720
7 202218
8 202318
9 202017
10 202117
11 201815
12 202112
13 202410
14 20209
15 20229
16 20249
17 20178
18 20188
19 20227
20 20186

About Nathaniel Hendrix

Nathaniel Hendrix is a scholar working on Health Information Management, Economics and Econometrics, Health, Health Informatics and Pharmacology, having authored 35 papers that have together received 404 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Electronic Health Records Systems (6 papers), Artificial Intelligence in Healthcare and Education (3 papers), Healthcare Systems and Reforms (3 papers), Vaccine Coverage and Hesitancy (3 papers), Psoriasis: Treatment and Pathogenesis (2 papers), AI in cancer detection (2 papers) and Medical Coding and Health Information (2 papers). The work is most often cited by research in Health Informatics (88 citations), Health Information Management (43 citations), Pharmacology (22 citations), Immunology (40 citations) and Economics and Econometrics (50 citations). Nathaniel Hendrix has collaborated with scholars based in United States, Ethiopia and Switzerland. Frequent co-authors include David Leroy Veenstra, Stéphane Verguet, Aasthaa Bansal, Robert Phillips, Christoph I. Lee, Andrew Bazemore, Clint J Pecenka, Brett Hauber, Julia Adler‐Milstein and Lisa S. Rotenstein. Their work appears in journals such as Value in Health, JAMA Network Open, PLoS ONE, BMJ Open and The Journal of the American Board of Family Medicine.

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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