David B. Flora

9.8k citations
110 papers · 7.0k indexed · 2 hit papers · h-index 36

David B. Flora

106 papers receiving 6.7k citations

Hit Papers

Your Coefficient Alpha...301200420262011201850010001.5k2.0k

Peers

David B. Flora
Comparison fields: 5 of 202
  • Clinical Psychology 2.3k
  • Applied Psychology 494
  • Experimental and Cognitive Psychology 1.1k
  • Social Psychology 1.3k
  • Pharmacy 221
Replace Amanda J. Fairchild with:
Amanda J. Fairchild United States
Erin J. Strahan Canada
James Peugh United States
Matthew S. Fritz United States
Scott B. Morris United States
Chih‐Ping Chou United States
Michael Τ. Brannick United States
Urbano Lorenzo‐Seva Spain
Jeanne M. Hoffman United States
Diane L. Putnick United States
David B. Flora relative to Amanda J. Fairchild United States Amanda J. Fairchild's profile →
Citations per field
00.5×1.5×2.0×
Amanda J. Fairchild · 1×
Citations per year

Countries citing papers authored by David B. Flora

Since Specialization
Citations

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

Fields of papers citing papers by David B. Flora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Flora. 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 David B. Flora. The network helps show where David B. Flora may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20234
3 202316
4 20221
5 202121
6 202117
7 201937
8 201710
9 2017188
10 201595
11 201517
12 201348
13 201230
14 201111
15 2008329
16 200819
17 200733
18 200710
19 20058
20 1997116

About David B. Flora

David B. Flora is a scholar working on Pharmacy, Clinical Psychology, Periodontics, Pediatrics, Perinatology and Child Health and Statistics and Probability, having authored 110 papers that have together received 7.0k indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (28 papers), Infant Health and Development (19 papers), Pediatric Pain Management Techniques (17 papers), Psychometric Methodologies and Testing (11 papers), Advanced Statistical Modeling Techniques (10 papers), Fluoride Effects and Removal (10 papers), Attention Deficit Hyperactivity Disorder (7 papers) and Mental Health Research Topics (6 papers). The work is most often cited by research in Clinical Psychology (2.3k citations), Applied Psychology (494 citations), Experimental and Cognitive Psychology (1.1k citations), Social Psychology (1.3k citations) and Pharmacy (221 citations). David B. Flora has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Patrick J. Curran, Laurie Chassin, Kevin M. King, R. Philip Chalmers, Kimberley B. Mercer-Lynn, Shelley A. Fahlman, John D. Eastwood, Jolynn Pek, Jessica Kay Flake and Maggie E. Toplak. Their work appears in journals such as Pain, Assessment, Journal of Pediatric Psychology, Group Dynamics Theory Research and Practice and Structural Equation Modeling A Multidisciplinary Journal.

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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