F. D. Naylor

600 citations
22 papers · 461 · h-index 11

Impact in

Papers in

F. D. Naylor

20 papers receiving 391 citations

Peers

F. D. Naylor
Comparison fields: 5 of 79
  • Experimental and Cognitive Psychology 153
  • Pediatrics, Perinatology and Child Health 151
  • Safety Research 53
  • Social Psychology 80
  • Endocrine and Autonomic Systems 25
Replace Berit Carlstedt with:
Berit Carlstedt Sweden
R. I. F. Brown United Kingdom
Martin Jelínek Czechia
Sheldon Blackman United States
Fiona Davies Australia
Cheryl Clark Australia
Dimitrios Papadopoulos Greece
Mark E. Ware United States
Kathy Gribbin United States
Karen Elliot United Kingdom
F. D. Naylor relative to Berit Carlstedt Sweden Berit Carlstedt's profile →
Citations per field
00.5×8.3×
Berit Carlstedt · 1×
Citations per year

Countries citing papers authored by F. D. Naylor

Since Specialization
Citations

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

Fields of papers citing papers by F. D. Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside F. D. Naylor, 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 F. D. Naylor Line = papers co-authored together F. D. Naylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981147
2 1980103
3 197939
4 198026
5 199122
6 198118
7 199316
8 199415
9
Personality and educational achievement
197213
10 197812
11 198411
12 19808
13 19738
14 19846
15 19865
16 19714
17 19913
18 19802
19 19972
20 19711

About F. D. Naylor

F. D. Naylor is a scholar working on Experimental and Cognitive Psychology, Education, Safety Research, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 461 indexed citations. Recurring topics across this work include Career Development and Diversity (7 papers), Education, Achievement, and Giftedness (4 papers), Neonatal Respiratory Health Research (4 papers), Psychological and Educational Research Studies (3 papers), Infant Nutrition and Health (3 papers), Higher Education and Employability (3 papers), Infant Development and Preterm Care (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (153 citations), Pediatrics, Perinatology and Child Health (151 citations), Safety Research (53 citations), Social Psychology (80 citations) and Endocrine and Autonomic Systems (25 citations). F. D. Naylor has collaborated with scholars based in Australia. Frequent co-authors include W. H. Kitchen, Anne McDougall, Anne Rickards, F. A. Billson, E. H. Keir, Margaret M. Ryan, Esther Care, John D. Krumboltz, Gerald R. Elsworth and Michael E. Bernard. Their work appears in journals such as Australian Journal of Education, Developmental Medicine & Child Neurology, Australian Psychologist, Educational Philosophy and Theory and The Journal of Educational Research.

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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