John M. Long

3.4k total citations
96 papers, 1.8k citations indexed

About

John M. Long is a scholar working on Media Technology, Biomedical Engineering and Education. According to data from OpenAlex, John M. Long has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Media Technology, 18 papers in Biomedical Engineering and 14 papers in Education. Recurrent topics in John M. Long's work include Experimental Learning in Engineering (19 papers), Engineering Education and Curriculum Development (13 papers) and Innovative Teaching Methods (9 papers). John M. Long is often cited by papers focused on Experimental Learning in Engineering (19 papers), Engineering Education and Curriculum Development (13 papers) and Innovative Teaching Methods (9 papers). John M. Long collaborates with scholars based in Australia, United States and France. John M. Long's co-authors include Daniel E. Singer, Steven J. Atlas, Richard A. Deyo, Donald L. Patrick, Robert B. Keller, Abbas Z. Kouzani, John Morton, Roger Guillemin, Scott Adams and Andrew V. Schally and has published in prestigious journals such as Nature, JAMA and Journal of the American College of Cardiology.

In The Last Decade

John M. Long

86 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John M. Long Australia	20	480	479	421	274	233	96	1.8k
Jong‐In Kim South Korea	35	96 0.2×	260 0.5×	455 1.1×	385 1.4×	39 0.2×	213	3.6k
E. F. J. Ring United Kingdom	27	304 0.6×	308 0.6×	151 0.4×	283 1.0×	377 1.6×	70	2.8k
Seong Jae Lee South Korea	21	156 0.3×	148 0.3×	137 0.3×	668 2.4×	34 0.1×	104	1.9k
Tien Tuan Dao France	17	111 0.2×	181 0.4×	107 0.3×	502 1.8×	61 0.3×	93	2.0k
Hyung Jin Choi South Korea	32	178 0.4×	575 1.2×	120 0.3×	1.4k 5.1×	21 0.1×	155	4.5k
Sang‐Heon Lee South Korea	34	1.4k 2.9×	1.1k 2.3×	1.2k 2.9×	304 1.1×	22 0.1×	242	3.7k
Richard M. Smith Australia	42	220 0.5×	1.0k 2.1×	281 0.7×	2.0k 7.2×	33 0.1×	191	5.3k
Tae‐Joon Kim South Korea	33	89 0.2×	174 0.4×	100 0.2×	40 0.1×	27 0.1×	148	4.3k
Guan‐Liang Chang Taiwan	23	191 0.4×	311 0.6×	80 0.2×	711 2.6×	21 0.1×	57	1.7k
Jian Li China	28	175 0.4×	1.3k 2.7×	84 0.2×	536 2.0×	44 0.2×	244	3.3k

Countries citing papers authored by John M. Long

Since Specialization

Citations

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

Fields of papers citing papers by John M. Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Long. 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 John M. Long. The network helps show where John M. Long may publish in the future.

Co-authorship network of co-authors of John M. Long

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Long. A scholar is included among the top collaborators of John M. Long 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 John M. Long. John M. Long 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

Long, John M., et al.. (2024). A self-stiffening compliant intracortical microprobe. Biomedical Microdevices. 26(1). 17–17. 3 indexed citations

Chandrasekaran, Sivachandran, John M. Long, Yanan Wang, et al.. (2024). Australasian Partnership in a First Year Engineering Course: Deakin University and Wuhan University of Science and Technology.

Clark, W. Dennis, et al.. (2023). The effects of chromium propionate supplementation to yearling steers in a commercial feedyard on growth performance, carcass characteristics, and health. Translational Animal Science. 7(1). txad078–txad078. 4 indexed citations

Long, John M., et al.. (2023). A binary stiffness compliant neural microprobe. Sensors and Actuators A Physical. 363. 114759–114759. 11 indexed citations

Long, John M., J. H. Pryor, Charles R. Long, et al.. (2021). Maternal nutrient restriction in late pregnancy programs postnatal metabolism and pituitary development in beef heifers. PLoS ONE. 16(4). e0249924–e0249924. 12 indexed citations

Chandrasekaran, Sivachandran, et al.. (2020). Assessing Learners’ Perceptions of Graduate Employability. Sustainability. 12(2). 460–460. 20 indexed citations

Lucey, Anthony D., Euan Lindsay, David F. Treagust, et al.. (2020). The Effects of Remote Laboratory Implementation on Freshman Engineering Students' Experience. Papers on Engineering Education Repository (American Society for Engineering Education). 6 indexed citations

Long, John M., J. H. Pryor, C. R. Long, et al.. (2020). Maternal nutrient restriction alters endocrine pancreas development in fetal heifers. Domestic Animal Endocrinology. 74. 106580–106580. 14 indexed citations

Lucey, Anthony D., Euan Lindsay, David F. Treagust, et al.. (2019). Student perceptions of instruction sheets in face-to-face and remotely-operated engineering laboratory learning. European Journal of Engineering Education. 45(4). 491–515. 15 indexed citations

10.

Long, John M., Michael P. Pereira, & Sivachandran Chandrasekaran. (2017). Implementation of project-oriented design-based learning in a second-year mechanical/mechatronics subject. Swinburne Research Bank (Swinburne University of Technology). 963–973. 4 indexed citations

11.

Long, John M.. (2013). Recent advances in distance education for physics students. Deakin Research Online (Deakin University). 47–47. 1 indexed citations

12.

Long, John M., et al.. (2006). Modeling of Leaching Surface Evolution in Stressed Particulate Media. Environmental Engineering Science. 23(1). 171–186.

13.

Long, John M., et al.. (2005). Experience Using Standard Software To Provide A Comprehensive Information Processing System For A Large And Complex Clinical Study. 563–565.

14.

Long, John M., et al.. (2000). Comparison of Methods to Measure Fibril Angle in Wood Fibres. Deakin Research Online (Deakin University). 12 indexed citations

15.

Atlas, Steven J., Richard A. Deyo, Robert B. Keller, et al.. (1996). The Maine Lumbar Spine Study, Part II. Spine. 21(15). 1777–1786. 271 indexed citations

16.

Fitch, Laurie L., Hēnry Buchwald, John P. Matts, et al.. (1995). Effect of aspirin use on death and recurrent myocardial infarction in current and former cigarette smokers. American Heart Journal. 129(4). 656–662. 2 indexed citations

17.

Buchwald, Hēnry, Christian T. Campos, John P. Matts, et al.. (1992). Women in the POSCH Trial Effects of Aggressive Cholesterol Modification in Women With Coronary Heart Disease. Annals of Surgery. 216(4). 389–400. 17 indexed citations

18.

Kriewall, Timothy J. & John M. Long. (1991). Guest Editor's Introduction: Computer-Based Medical Systems. 24(3). 9–12.

19.

Matts, John P., et al.. (1989). Using Artificial Neural Nets for Statistical Discovery: Observations after Using Backpropogation, Expert Systems, and Multiple-Linear Regression on Clinical Trial Data.. Complex Systems. 3. 2 indexed citations

20.

Buchwald, Hēnry, John P. Matts, Laurie L. Fitch, et al.. (1989). Program on the surgical control of the hyperlipidemias (POSCH): Design and methodology. Journal of Clinical Epidemiology. 42(12). 1111–1127. 29 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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