Sandra D. Griffith

1.5k citations
31 papers · 1.2k · h-index 18

Impact in

Papers in

Sandra D. Griffith

31 papers receiving 1.2k citations

Peers

Sandra D. Griffith
Comparison fields: 5 of 86
  • Health Information Management 109
  • Statistics and Probability 117
  • Oncology 187
  • Pulmonary and Respiratory Medicine 191
  • Neurology 86
Replace Jacqueline Corrigan‐Curay with:
Jacqueline Corrigan‐Curay United States
Marcus D. Ruopp United States
Donna K. McClish United States
Rachel L. Hughes United States
Rachel S. Wallwork United States
Luis Henrique Braga Canada
Candice Yong United States
Kelly M. Strait United States
Rodney C. G. Franklin United Kingdom
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Sandra D. Griffith relative to Jacqueline Corrigan‐Curay United States Jacqueline Corrigan‐Curay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sandra D. Griffith

Since Specialization
Citations

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

Fields of papers citing papers by Sandra D. Griffith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra D. Griffith. 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 Sandra D. Griffith. The network helps show where Sandra D. Griffith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015201
2 2018180
3 2019135
4 201988
5 201563
6 201462
7 201247
8 201946
9 201637
10 201535
11 201729
12 200928
13 201428
14 201423
15 201523
16 201520
17 202020
18 201519
19 201518
20 201416

About Sandra D. Griffith

Sandra D. Griffith is a scholar working on Health Information Management, Statistics and Probability, Management Science and Operations Research, Oncology and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electronic Health Records Systems (5 papers), Medical Coding and Health Information (3 papers), Psychometric Methodologies and Testing (3 papers), Statistical Methods in Clinical Trials (3 papers), Lung Cancer Treatments and Mutations (2 papers), Suicide and Self-Harm Studies (2 papers), Machine Learning in Healthcare (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Health Information Management (109 citations), Statistics and Probability (117 citations), Oncology (187 citations), Pulmonary and Respiratory Medicine (191 citations) and Neurology (86 citations). Sandra D. Griffith has collaborated with scholars based in United States. Frequent co-authors include Nicolas R. Thompson, Youran Fan, Lara E. Jehi, Irene L. Katzan, Paul You, Melisa Tucker, Sumeet Vadera, Benjamin P. Rosenbaum, Jarrod E. Dalton and William B. Capra. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Psychosomatics, Neurology, PLoS ONE and Statistics in 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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