J. D. Fletcher

2.8k total citations · 1 hit paper
30 papers, 1.3k citations indexed

About

J. D. Fletcher is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, J. D. Fletcher has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Developmental and Educational Psychology and 3 papers in Social Psychology. Recurrent topics in J. D. Fletcher's work include Intelligent Tutoring Systems and Adaptive Learning (11 papers), AI-based Problem Solving and Planning (5 papers) and Educational Games and Gamification (5 papers). J. D. Fletcher is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (11 papers), AI-based Problem Solving and Planning (5 papers) and Educational Games and Gamification (5 papers). J. D. Fletcher collaborates with scholars based in United States and Japan. J. D. Fletcher's co-authors include Sigmund Tobias, James A. Kulik, Alexander P. Wind, R. C. Atkinson, Veda R. Charrow, Robert A. Wisher, David Yun Dai, Shozo Ishii, Koichi Yasuoka and Fei Chen and has published in prestigious journals such as Science, Proceedings of the IEEE and Journal of Educational Psychology.

In The Last Decade

J. D. Fletcher

30 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effectiveness of Intelligent Tutoring Systems

2015 365 citations James A. Kulik, J. D. Fletcher Review of Educational Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. D. Fletcher United States	14	648	391	344	285	125	30	1.3k
Maria Cutumisu Canada	22	382 0.6×	214 0.5×	356 1.0×	380 1.3×	141 1.1×	85	1.2k
Gregory K. W. K. Chung United States	19	483 0.7×	237 0.6×	190 0.6×	420 1.5×	77 0.6×	74	1.2k
Melissa Duffy Canada	14	438 0.7×	134 0.3×	184 0.5×	358 1.3×	141 1.1×	33	911
Linda S. Steinberg United States	17	470 0.7×	393 1.0×	262 0.8×	570 2.0×	97 0.8×	33	1.3k
Karsten Stegmann Germany	19	1.3k 1.9×	235 0.6×	376 1.1×	882 3.1×	84 0.7×	52	1.8k
Jason M. Harley Canada	20	360 0.6×	223 0.6×	224 0.7×	277 1.0×	270 2.2×	56	1.4k
Matthew Ventura United States	17	625 1.0×	429 1.1×	324 0.9×	210 0.7×	292 2.3×	37	1.3k
Yao-Ting Sung Taiwan	16	636 1.0×	129 0.3×	196 0.6×	603 2.1×	196 1.6×	39	1.5k
Juan Zheng Canada	18	473 0.7×	133 0.3×	299 0.9×	461 1.6×	138 1.1×	54	1.2k
Richard Van Eck United States	13	776 1.2×	139 0.4×	269 0.8×	305 1.1×	99 0.8×	33	1.2k

Countries citing papers authored by J. D. Fletcher

Since Specialization

Citations

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

Fields of papers citing papers by J. D. Fletcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. Fletcher

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Fletcher, J. D.. (2018). Comments and reflections on ITS and STEM education and training. International Journal of STEM Education. 5(1). 16–16. 5 indexed citations

2.

Fletcher, J. D. & Robert A. Sottilare. (2017). Shared Mental Models in Support of Adaptive Instruction for Teams Using the GIFT Tutoring Architecture. International Journal of Artificial Intelligence in Education. 28(2). 265–285. 8 indexed citations

3.

Fletcher, J. D.. (2017). The value of digital tutoring and accelerated expertise for military veterans. Educational Technology Research and Development. 65(3). 679–698. 2 indexed citations

4.

Tobias, Sigmund, J. D. Fletcher, & Fei Chen. (2015). Digital Games as Educational Technology: Promise and Challenges in the Use of Games to Teach.. Educational Technology archive. 55(5). 3–12. 11 indexed citations

5.

Kulik, James A. & J. D. Fletcher. (2015). Effectiveness of Intelligent Tutoring Systems. Review of Educational Research. 86(1). 42–78. 365 indexed citations breakdown →

6.

Fletcher, J. D. & John E. Morrison. (2014). Accelerating Development of Expertise: A Digital Tutor for Navy Technical Training. 2 indexed citations

7.

Fletcher, J. D. & Alexander P. Wind. (2013). Cost Considerations in Using Simulations for Medical Training. Military Medicine. 178(10S). 37–46. 40 indexed citations

8.

Tobias, Sigmund & J. D. Fletcher. (2011). Computer Games and Instruction.. 298 indexed citations

9.

Tobias, Sigmund, J. D. Fletcher, Alexander P. Wind, & David Yun Dai. (2011). Review of Research on Computer Games. 127–221. 67 indexed citations

10.

Fletcher, J. D.. (2009). The Value of Expertise and Expert Performance: A Review of Evidence from the Military. Cambridge University Press eBooks. 449–469. 6 indexed citations

11.

Fletcher, J. D., Sigmund Tobias, & Robert A. Wisher. (2007). Learning Anytime, Anywhere: Advanced Distributed Learning and the Changing Face of Education. Educational Researcher. 36(2). 96–102. 54 indexed citations

12.

Fletcher, J. D., et al.. (2006). Water Treatment by Fast Oxygen Radical Flow With DC-Driven Microhollow Cathode Discharge. IEEE Transactions on Plasma Science. 34(4). 1375–1381. 39 indexed citations

13.

Fletcher, J. D., et al.. (2004). Opportunities for New “Smart” Learning Environments Enabled by Next-Generation Web Capabilities. Journal of educational multimedia and hypermedia. 13(4). 391–404. 31 indexed citations

14.

Fletcher, J. D. & R. Johnston. (2002). Effectiveness and cost benefits of computer-based decision aids for equipment maintenance. Computers in Human Behavior. 18(6). 717–728. 8 indexed citations

15.

Fletcher, J. D.. (2001). What Do Sharable Instructional Objects Have to do With Intelligent Tutoring Systems, and Vice Versa?. 5(3). 317–333. 6 indexed citations

16.

Tobias, Sigmund & J. D. Fletcher. (2000). Training & retraining : a handbook for business, industry, government, and the military. 80 indexed citations

17.

Fletcher, J. D., et al.. (1976). Models of individual trajectories in computer-assisted instruction for deaf students.. Journal of Educational Psychology. 68(2). 117–127. 29 indexed citations

18.

Fletcher, J. D., et al.. (1973). Learning Language by Computer.. The Volta Review. 2 indexed citations

19.

Fletcher, J. D. & Marian Beard. (1973). Computer-assisted instruction in language arts for hearing-impaired students. 5 indexed citations

20.

Fletcher, J. D. & R. C. Atkinson. (1972). Evaluation of the Stanford CAI program in initial reading.. Journal of Educational Psychology. 63(6). 597–602. 47 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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