J. D. Barrett

1.8k total citations
55 papers, 1.3k citations indexed

About

J. D. Barrett is a scholar working on Building and Construction, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, J. D. Barrett has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Building and Construction, 16 papers in Mechanical Engineering and 15 papers in Mechanics of Materials. Recurrent topics in J. D. Barrett's work include Wood Treatment and Properties (32 papers), Tree Root and Stability Studies (11 papers) and Creativity in Education and Neuroscience (10 papers). J. D. Barrett is often cited by papers focused on Wood Treatment and Properties (32 papers), Tree Root and Stability Studies (11 papers) and Creativity in Education and Neuroscience (10 papers). J. D. Barrett collaborates with scholars based in Canada, United States and Japan. J. D. Barrett's co-authors include Ricardo O. Foschi, R. O. Foschi, Michael D. Mumford, Frank Lam, William B. Vessey, Arno P. Schniewind, Lauren Blackwell Landon, Kelley J. Slack, Kimberly S. Hester and Dean F. Hougen and has published in prestigious journals such as American Psychologist, International Journal for Numerical Methods in Engineering and The Leadership Quarterly.

In The Last Decade

J. D. Barrett

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. D. Barrett Canada 22 606 371 331 216 183 55 1.3k
Olle Hagman Sweden 19 326 0.5× 115 0.3× 93 0.3× 58 0.3× 17 0.1× 70 1.1k
W. J. M. Douglas Canada 24 32 0.1× 634 1.7× 123 0.4× 31 0.1× 47 0.3× 105 1.8k
Paul Rodgers United Kingdom 17 52 0.1× 717 1.9× 37 0.1× 18 0.1× 229 1.3× 112 1.3k
Daniel Stefaniak Germany 13 50 0.1× 380 1.0× 443 1.3× 74 0.3× 54 0.3× 40 778
Xiaojian Chen China 13 55 0.1× 143 0.4× 61 0.2× 41 0.2× 7 0.0× 54 752
John W. Wallace United States 39 2.4k 4.0× 77 0.2× 93 0.3× 3.7k 17.3× 17 0.1× 178 4.6k
Rongrong Yu Australia 21 317 0.5× 129 0.3× 6 0.0× 26 0.1× 113 0.6× 109 1.4k
Hongli Wang China 10 45 0.1× 114 0.3× 208 0.6× 49 0.2× 7 0.0× 46 537
Nayeon Kim South Korea 16 15 0.0× 166 0.4× 66 0.2× 61 0.3× 33 0.2× 71 1.1k

Countries citing papers authored by J. D. Barrett

Since Specialization
Citations

This map shows the geographic impact of J. D. Barrett'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. Barrett 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. Barrett more than expected).

Fields of papers citing papers by J. D. Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Barrett. A scholar is included among the top collaborators of J. D. Barrett 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. Barrett. J. D. Barrett 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.
Richardson, Debra J., Jill Tseng, Theresa L. Werner, et al.. (2022). 33 UPLIFT (ENGOT-ov67/GOG-3048) a pivotal cohort of upifitamab rilsodotin (XMT-1536; UpRi), a NaPi2b-directed antibody drug conjugate (ADC) in platinum-resistant ovarian cancer. Gynecologic Oncology Reports. 44. S16–S17. 2 indexed citations
2.
Landon, Lauren Blackwell, Kelley J. Slack, & J. D. Barrett. (2018). Teamwork and collaboration in long-duration space missions: Going to extremes.. American Psychologist. 73(4). 563–575. 78 indexed citations
3.
Barrett, J. D., et al.. (2014). Yield analysis of Hem-Fir (N) lamina for Japanese visual and machine grade standards. Journal of Wood Science. 60(6). 389–395.
4.
Peterson, David R., J. D. Barrett, Kimberly S. Hester, et al.. (2013). Teaching People to Manage Constraints: Effects on Creative Problem-Solving. Creativity Research Journal. 25(3). 335–347. 26 indexed citations
5.
Barrett, J. D., William B. Vessey, & Michael D. Mumford. (2011). Getting leaders to think: Effects of training, threat, and pressure on performance. The Leadership Quarterly. 22(4). 729–750. 21 indexed citations
6.
Barrett, J. D., et al.. (2009). Mechanical properties of Canadian coastal Douglas-fir and Hem-Fir.. Forest Products Journal. 59(6). 44–54. 5 indexed citations
7.
Byrne, Cristina L., Michael D. Mumford, J. D. Barrett, & William B. Vessey. (2009). Examining the Leaders of Creative Efforts: What Do They Do, and What Do They Think About?. Creativity and Innovation Management. 18(4). 256–268. 61 indexed citations
8.
Green, David W., et al.. (2007). Predicting The Effect of Moisture Content On The Flexural Properties of Douglas-Fir Dimension Lumber. Wood and Fiber Science. 20(1). 107–131. 9 indexed citations
9.
Barrett, J. D., et al.. (2007). Compression strength adjustments for moisture content in Douglas-fir structural lumber. Wood and Fiber Science. 23(4). 543–557. 1 indexed citations
10.
Lam, Frank, et al.. (2004). Influence of knot area ratio based grading rules on the engineering properties of Hem-fir used in Japanese post and beam housing. Wood Science and Technology. 38(2). 83–92. 4 indexed citations
11.
Lam, Frank, et al.. (1998). The effect of edge knots on the strength of SPF MSR lumber. Forest Products Journal. 48(4). 75–81. 7 indexed citations
12.
Lam, Frank, et al.. (1997). Economic feasibility of improved strength and stiffness prediction of MEL and MSR lumber.. Forest Products Journal. 47. 85–91. 2 indexed citations
13.
Barrett, J. D., et al.. (1995). Size Effects in Visually Graded Softwood Structural Lumber. Journal of Materials in Civil Engineering. 7(1). 19–30. 39 indexed citations
14.
Karacabeyli, Erol & J. D. Barrett. (1993). Rate of loading effects on strength of lumber. Forest Products Journal. 43(5). 28–36. 2 indexed citations
15.
Barrett, J. D.. (1981). Fracture mechanics in design and service: ‘living with defects’ - Fracture mechanics and the design of wood structures. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 299(1446). 217–226. 12 indexed citations
16.
Avriel, Mordecai & J. D. Barrett. (1978). Optimal design of pitched laminated wood beams. Journal of Optimization Theory and Applications. 26(2). 291–303. 3 indexed citations
17.
Barrett, J. D. & R. O. Foschi. (1977). Mode II stress-intensity factors for cracked wood beams. Engineering Fracture Mechanics. 9(2). 371–378. 137 indexed citations
18.
Barrett, J. D.. (1976). Effect of crack-front width on fracture toughness of Douglas-fir. Engineering Fracture Mechanics. 8(4). 711–717. 11 indexed citations
19.
Barrett, J. D.. (1974). Effect of Size on Tension Perpendicular-To-Grain Strength of Douglas-Fir. Wood and Fiber Science. 6(2). 126–143. 54 indexed citations
20.
Barrett, J. D. & Arno P. Schniewind. (1973). Three-Dimensional Finite-Element Models of Cylindrical Wood Fibers. Wood and Fiber Science. 5(3). 215–225. 9 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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