Nicholas DeVito

3.9k citations
42 papers · 822 · h-index 12

Impact in

Papers in

Nicholas DeVito

39 papers receiving 786 citations

Peers

Nicholas DeVito
Comparison fields: 5 of 125
  • Statistics, Probability and Uncertainty 162
  • Health Informatics 14
  • Public Health, Environmental and Occupational Health 204
  • Pharmacology 64
  • Information Systems and Management 47
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Cole Wayant United States
Rebecca J. Williams United States
Laragh Gollogly United States
Julia Kreis Germany
James Topping United States
Camilla Hansen Nejstgaard Denmark
Ignacio Atal France
Bruce P. Squires United States
Brendan Clarke United Kingdom
Mario Malički Croatia
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Citations per field
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Citations per year

Countries citing papers authored by Nicholas DeVito

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas DeVito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020190
2 2018143
3 2018121
4 202055
5 201945
6 201830
7 201728
8 202021
9 202120
10 202018
11 202114
12 202013
13 202412
14 202211
15 201811
16 202110
17 202410
18 20219
19 20217
20 20236

About Nicholas DeVito

Nicholas DeVito is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, Information Systems and Management, Economics and Econometrics and Pharmacology, having authored 42 papers that have together received 822 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (18 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Ethics in Clinical Research (5 papers), Health and Medical Research Impacts (5 papers), Scientific Computing and Data Management (4 papers), Healthcare cost, quality, practices (2 papers), scientometrics and bibliometrics research (2 papers) and Opioid Use Disorder Treatment (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (162 citations), Health Informatics (14 citations), Public Health, Environmental and Occupational Health (204 citations), Pharmacology (64 citations) and Information Systems and Management (47 citations). Nicholas DeVito has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Ben M. Goldacre, Seb Bacon, Georgia Catherine Richards, Helen Jane Curtis, Carl Heneghan, Jessica Fleminger, Caroline E Morton, Lisa French, Stephen H Bradley and Kelly Elizabeth Lloyd. Their work appears in journals such as BMJ, BMJ Evidence-Based Medicine, BMJ Open, JAMA Network Open and Royal Society Open Science.

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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