David Barker

474 total citations
20 papers, 285 citations indexed

About

David Barker is a scholar working on Education, General Agricultural and Biological Sciences and Statistics and Probability. According to data from OpenAlex, David Barker has authored 20 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 3 papers in General Agricultural and Biological Sciences and 3 papers in Statistics and Probability. Recurrent topics in David Barker's work include Mathematics Education and Teaching Techniques (5 papers), Teacher Education and Leadership Studies (4 papers) and Cognitive and developmental aspects of mathematical skills (2 papers). David Barker is often cited by papers focused on Mathematics Education and Teaching Techniques (5 papers), Teacher Education and Leadership Studies (4 papers) and Cognitive and developmental aspects of mathematical skills (2 papers). David Barker collaborates with scholars based in United States, India and New Zealand. David Barker's co-authors include John K. Lannin, Sandra K. Abell, Chia-Yu Wang, Meredith Park Rogers, Vishal Arghode, Peter Rundquist, Wen‐Pin Chang, Bárbara J. Reys, James E. Tarr and Lisa I. Pilkington and has published in prestigious journals such as Food Chemistry, Food Research International and Educational Studies in Mathematics.

In The Last Decade

David Barker

16 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Barker United States	10	172	49	33	30	28	20	285
Seyum Getenet Australia	12	234 1.4×	22 0.4×	43 1.3×	10 0.3×	62 2.2×	36	365
Anne Pitkethly Australia	6	271 1.6×	120 2.4×	52 1.6×	19 0.6×	24 0.9×	9	347
Stephanie Z. Smith United States	9	407 2.4×	106 2.2×	53 1.6×	4 0.1×	32 1.1×	32	497
Esma Emmioğlu Sarıkaya Türkiye	8	275 1.6×	247 5.0×	14 0.4×	18 0.6×	15 0.5×	22	422
Clive Kanes Sweden	11	263 1.5×	73 1.5×	49 1.5×	4 0.1×	55 2.0×	33	334
Hunter R. Boylan United States	12	391 2.3×	26 0.5×	46 1.4×	23 0.8×	19 0.7×	38	473
Dorian Stoilescu Canada	8	150 0.9×	6 0.1×	34 1.0×	6 0.2×	24 0.9×	27	248
Michelle Hodara United States	12	345 2.0×	19 0.4×	25 0.8×	17 0.6×	16 0.6×	30	383
Sultan Idris Malaysia	10	139 0.8×	17 0.3×	25 0.8×	9 0.3×	57 2.0×	42	283
Diana S. Mason United States	10	281 1.6×	12 0.2×	115 3.5×	14 0.5×	30 1.1×	45	382

Countries citing papers authored by David Barker

Since Specialization

Citations

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

Fields of papers citing papers by David Barker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Barker

This figure shows the co-authorship network connecting the top 25 collaborators of David Barker. A scholar is included among the top collaborators of David Barker 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 David Barker. David Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Webster, Chris, David Barker, Rebecca C. Deed, & Lisa I. Pilkington. (2025). Mead production and quality: A review of chemical and sensory mead quality evaluation with a focus on analytical methods. Food Research International. 202. 115655–115655. 6 indexed citations

Webster, Chris, David Barker, Rebecca C. Deed, & Lisa I. Pilkington. (2025). Quantification of methyl glyoxal in New Zealand Mānuka honey and honey meads. Food Chemistry. 478. 143697–143697. 1 indexed citations

Arghode, Vishal, et al.. (2022). Principal self-efficacy, mindset and performance outcomes: exploring the connection. European journal of training and development. 47(5/6). 565–585. 12 indexed citations

Barker, David, et al.. (2020). A Phenomenological Approach to Explore Faculty Perceptions about Invisible Labor. Community College Journal of Research and Practice. 44(10-12). 804–818. 10 indexed citations

Barker, David, et al.. (2020). A grounded theory approach for exploring shared leadership: evidence from urban primary schools in Pennsylvania. International Journal of Leadership in Education. 26(2). 201–222. 5 indexed citations

Barker, David, et al.. (2019). Integrating Knowledge for Instruction: A Tale of Two Teachers. The Mathematics Enthusiast. 16(1-3). 331–358.

Rundquist, Peter, et al.. (2012). Determining Cognitive and Non-Cognitive Predictors of Success on the National Physical Therapy Examination. Internet Journal of Allied Health Sciences and Practice. 25 indexed citations

Lannin, John K., et al.. (2007). How students view the general nature of their errors. Educational Studies in Mathematics. 66(1). 43–59. 27 indexed citations

Lannin, John K., et al.. (2006). Research, Reflection, Practice: Making the Most of Student Errors. Teaching Children Mathematics. 13(3). 182–186.

10.

Lannin, John K., et al.. (2006). Why, Why Should I Justify?. Mathematics Teaching in the Middle School. 11(9). 438–443. 1 indexed citations

11.

Lannin, John K., et al.. (2006). Recursive and explicit rules: How can we build student algebraic understanding?. The Journal of Mathematical Behavior. 25(4). 299–317. 52 indexed citations

12.

Tarr, James E., et al.. (2006). Selecting High-Quality Mathematics Textbooks. Mathematics Teaching in the Middle School. 12(1). 50–54. 12 indexed citations

13.

Rogers, Meredith Park, et al.. (2006). Effective Professional Development in Science and Mathematics Education: Teachers' and Facilitators' Views. International Journal of Science and Mathematics Education. 5(3). 507–532. 74 indexed citations

14.

Barker, David, et al.. (1992). Encounters with the Television Image: Thirty Years of Encoding Research. Annals of the International Communication Association. 15(1). 209–210.

15.

Barker, David. (1991). The emergence of television's repertoire of representation, 1920–1935. Journal of Broadcasting & Electronic Media. 35(3). 305–318. 1 indexed citations

16.

Barker, David. (1988). “It's been real”: Forms of television representation. Critical Studies in Mass Communication. 5(1). 42–56. 14 indexed citations

17.

Barker, David. (1985). Television production techniques as communication. Critical Studies in Mass Communication. 2(3). 234–246. 23 indexed citations

18.

Downing, Steven M., et al.. (1984). The predictive validity of test formats and a psychometric theory of clinical competence.. PubMed. 23. 76–82. 7 indexed citations

19.

Barker, David. (1979). Appropriate Methodology: An Example using a Traditional African Board Game to measure Farmers' Attitudes and Environmental Images¹. OpenDocs (Institute of Development Studies). 10(2). 37–40. 14 indexed citations

20.

Barker, David. (1965). PRIMARY SCHOOL SCIENCE AN ATTEMPT TO INVESTIGATE THE EFFECTS OF THE INFORMAL USE OF A ‘DISCOVERY TABLE’ ON THE SCIENTIFIC KNOWLEDGE OF PRIMARY SCHOOL CHILDREN. Educational Research. 7(2). 155–158. 1 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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