F. D. Naylor

600 total citations
22 papers, 461 citations indexed

About

F. D. Naylor is a scholar working on Experimental and Cognitive Psychology, Education and Safety Research. According to data from OpenAlex, F. D. Naylor has authored 22 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Experimental and Cognitive Psychology, 9 papers in Education and 7 papers in Safety Research. Recurrent topics in F. D. Naylor's work include Career Development and Diversity (7 papers), Neonatal Respiratory Health Research (4 papers) and Education, Achievement, and Giftedness (4 papers). F. D. Naylor is often cited by papers focused on Career Development and Diversity (7 papers), Neonatal Respiratory Health Research (4 papers) and Education, Achievement, and Giftedness (4 papers). F. D. Naylor collaborates with scholars based in Australia. F. D. Naylor's co-authors include Anne McDougall, W. H. Kitchen, Anne Rickards, F. A. Billson, E. H. Keir, Margaret M. Ryan, John D. Krumboltz, Esther Care, Gerald R. Elsworth and Michael E. Bernard and has published in prestigious journals such as Journal of Educational Psychology, Developmental Medicine & Child Neurology and Educational and Psychological Measurement.

In The Last Decade

F. D. Naylor

20 papers receiving 391 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. D. Naylor Australia 11 153 151 103 101 80 22 461
Berit Carlstedt Sweden 11 216 1.4× 52 0.3× 47 0.5× 5 0.0× 58 0.7× 16 466
Martin Jelínek Czechia 10 63 0.4× 69 0.5× 45 0.4× 8 0.1× 161 2.0× 61 433
Mark E. Ware United States 12 42 0.3× 18 0.1× 158 1.5× 4 0.0× 80 1.0× 47 410
Dimitrios Papadopoulos Greece 9 45 0.3× 22 0.1× 59 0.6× 14 0.1× 43 0.5× 21 306
Fanny Guglielmucci Italy 14 62 0.4× 122 0.8× 111 1.1× 138 1.4× 57 0.7× 26 643
Fiona Davies Australia 9 105 0.7× 37 0.2× 59 0.6× 4 0.0× 177 2.2× 15 543
Kathy Gribbin United States 6 124 0.8× 11 0.1× 37 0.4× 8 0.1× 88 1.1× 7 517
Christopher M. Swoboda United States 11 37 0.2× 17 0.1× 27 0.3× 17 0.2× 109 1.4× 21 332
Ruth M. Stone United States 11 50 0.3× 14 0.1× 15 0.1× 14 0.1× 51 0.6× 45 439
R. I. F. Brown United Kingdom 14 54 0.4× 20 0.1× 10 0.1× 17 0.2× 151 1.9× 20 1.0k

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-authorship network of co-authors of F. D. Naylor

This figure shows the co-authorship network connecting the top 25 collaborators of F. D. Naylor. A scholar is included among the top collaborators of F. D. Naylor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. D. Naylor. F. D. Naylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Naylor, F. D., et al.. (1997). Sex, status, and generic interests in fields of work, parents and offspring, and fields of study. Australian Psychologist. 32(1). 12–18. 2 indexed citations
2.
Naylor, F. D. & John D. Krumboltz. (1994). The Independence of Aptitudes, Interests, and Career Beliefs. The Career Development Quarterly. 43(2). 152–160. 15 indexed citations
3.
Naylor, F. D.. (1993). The generality of interest themes. Australian Psychologist. 28(1). 1–7. 16 indexed citations
4.
Naylor, F. D., et al.. (1991). The Predictive Power of Measured Interests in Tertiary Course Choice: The Case of Science. Australian Journal of Education. 35(3). 261–272. 22 indexed citations
5.
Naylor, F. D., et al.. (1991). The Predictive Validity of the Investigative Scale of the Career Assessment Inventory. Educational and Psychological Measurement. 51(1). 217–226. 3 indexed citations
6.
Naylor, F. D., et al.. (1986). The identification of holland categories and occupational classifications by the vocational preference inventory and the strong-campbell interest inventory. Australian Journal of Psychology. 38(2). 161–167. 5 indexed citations
7.
Care, Esther & F. D. Naylor. (1984). The Factor Structure of Expressed Preferences for School Subjects. Australian Journal of Education. 28(2). 145–153. 11 indexed citations
8.
Naylor, F. D.. (1984). Sex, schools and emerging occupational interests. Melbourne Studies in Education. 26(1). 189–212. 6 indexed citations
9.
Bernard, Michael E., et al.. (1981). Sex-role behavior and gender in teacher–student evaluations.. Journal of Educational Psychology. 73(5). 681–696. 18 indexed citations
10.
Kitchen, W. H., Anne McDougall, & F. D. Naylor. (1980). A Longitudinal Study of Very Low‐birthweight Infants. Ill: Distance Growth at Eight Years of Age. Developmental Medicine & Child Neurology. 22(2). 163–171. 26 indexed citations
11.
Kitchen, W. H., Margaret M. Ryan, Anne Rickards, et al.. (1980). A Longitudinal Study of Very Low‐birthweight Infants. IV: An Overview of Performance at Eight Years of Age. Developmental Medicine & Child Neurology. 22(2). 172–188. 103 indexed citations
12.
Kitchen, W. H., Anne Rickards, Monique M. Ryan, et al.. (1980). A Longitudinal Study of Very Low-Birthweight Infants. II. Obstetrical & Gynecological Survey. 35(7). 445–446. 2 indexed citations
13.
Naylor, F. D., Gerald R. Elsworth, & Jill Astbury. (1980). Interactions of factorial components and testing occasions in the determination of scores on the a-state scale of the state-trait anxiety inventory. Australian Journal of Psychology. 32(3). 217–223. 8 indexed citations
14.
Kitchen, W. H., Anne Rickards, Margaret M. Ryan, et al.. (1979). A Longitudinal Study of Very Low‐birthweight Infants. II: Results of Controlled Trial of Intensive Care and Incidence of Handicaps. Developmental Medicine & Child Neurology. 21(5). 582–589. 39 indexed citations
15.
Naylor, F. D.. (1978). Success and failure experiences and the factor structure of the state-trait anxiety inventory. Australian Journal of Psychology. 30(3). 217–222. 12 indexed citations
16.
Naylor, F. D.. (1975). Theory and Educational Research. Educational Philosophy and Theory. 7(1). 1–14.
17.
Naylor, F. D. & Eric Gaudry. (1973). The Relationship of Adjustment, Anxiety, and Intelligence to Mathematics Performance. The Journal of Educational Research. 66(9). 413–417. 8 indexed citations
18.
Naylor, F. D.. (1972). The Attribution by Schoolteachers of Open-Mindedness to Students at Different Educational Levels. Australian Journal of Education. 16(3). 296–300.
19.
Naylor, F. D.. (1971). Some Problems in the Relation Between Psychology And Educational Psychology. Educational Philosophy and Theory. 3(1). 47–53. 1 indexed citations
20.
Naylor, F. D.. (1971). The Characteristics of semantic space in a sample of young children. Australian Journal of Psychology. 23(2). 161–165. 4 indexed citations

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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