J. D. Carlson

14.6k total citations · 10 hit papers
128 papers, 11.7k citations indexed

About

J. D. Carlson is a scholar working on Civil and Structural Engineering, Biomedical Engineering and Radiation. According to data from OpenAlex, J. D. Carlson has authored 128 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Civil and Structural Engineering, 16 papers in Biomedical Engineering and 14 papers in Radiation. Recurrent topics in J. D. Carlson's work include Vibration Control and Rheological Fluids (45 papers), Seismic Performance and Analysis (19 papers) and Structural Engineering and Vibration Analysis (17 papers). J. D. Carlson is often cited by papers focused on Vibration Control and Rheological Fluids (45 papers), Seismic Performance and Analysis (19 papers) and Structural Engineering and Vibration Analysis (17 papers). J. D. Carlson collaborates with scholars based in United States, South Korea and Japan. J. D. Carlson's co-authors include M.K. Sain, Mark Jolly, Shirley J. Dyke, Billie F. Spencer, B. F. Spencer, Beth Muñoz, Keith D. Weiss, Jonathan W. Bender, Guo‐Min Yang and Todd A. Bullions and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Soil Science Society of America Journal.

In The Last Decade

J. D. Carlson

120 papers receiving 10.8k citations

Hit Papers

Phenomenological Model for Magnetorheological Dampers 1996 2026 2006 2016 1997 1996 2000 1996 2002 500 1000 1.5k

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. Carlson United States 43 9.2k 2.2k 1.7k 1.1k 832 128 11.7k
Norman Jones United Kingdom 51 5.6k 0.6× 6.5k 3.0× 475 0.3× 819 0.7× 1.4k 1.6× 259 10.8k
Alberto Carpinteri Italy 58 5.6k 0.6× 1.8k 0.8× 600 0.4× 353 0.3× 442 0.5× 545 14.3k
G. F. Hewitt United Kingdom 13 812 0.1× 5.7k 2.6× 2.2k 1.3× 354 0.3× 2.4k 2.9× 30 11.1k
Jan Carmeliet Switzerland 59 1.2k 0.1× 1.1k 0.5× 910 0.5× 44 0.0× 1.8k 2.2× 314 12.8k
J. G. Williams United States 57 1.0k 0.1× 1.6k 0.7× 542 0.3× 90 0.1× 247 0.3× 297 12.6k
David White United States 57 10.0k 1.1× 1.8k 0.8× 217 0.1× 229 0.2× 1.0k 1.2× 610 13.7k
Christopher E. Brennen United States 46 1.0k 0.1× 2.8k 1.3× 2.5k 1.5× 299 0.3× 4.3k 5.1× 151 10.9k
R. Plunkett United States 15 1.4k 0.2× 1.5k 0.7× 720 0.4× 685 0.6× 343 0.4× 55 4.4k
Xianghui Xiao United States 49 2.1k 0.2× 2.8k 1.3× 1000 0.6× 25 0.0× 417 0.5× 247 10.0k
Waloddi Weibull Sweden 6 1.5k 0.2× 2.1k 1.0× 753 0.4× 120 0.1× 347 0.4× 11 9.0k

Countries citing papers authored by J. D. Carlson

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Carlson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Carlson. A scholar is included among the top collaborators of J. D. Carlson 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. Carlson. J. D. Carlson 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.
Krueger, Erik S., Matthew R. Levi, Kevin O. Achieng, et al.. (2022). Using soil moisture information to better understand and predict wildfire danger: a review of recent developments and outstanding questions. International Journal of Wildland Fire. 32(2). 111–132. 28 indexed citations
2.
Carlson, J. D.. (2019). Is the NPT Still Relevant? – How to Progress the NPT’s Disarmament Provisions. Journal for Peace and Nuclear Disarmament. 2(1). 97–113. 8 indexed citations
3.
Krueger, Erik S., Tyson E. Ochsner, J. D. Carlson, et al.. (2016). Concurrent and antecedent soil moisture relate positively or negatively to probability of large wildfires depending on season. International Journal of Wildland Fire. 25(6). 657–668. 46 indexed citations
4.
Krueger, Erik S., Tyson E. Ochsner, David M. Engle, et al.. (2015). Soil Moisture Affects Growing-Season Wildfire Size in the Southern Great Plains. Soil Science Society of America Journal. 79(6). 1567–1576. 89 indexed citations
5.
Carlson, J. D.. (2014). Defending the Secular from its Secularist Critics Albert Camus, Saint Augustine, and the New Atheism. Soundings An Interdisciplinary Journal. 97(1). 50–74. 2 indexed citations
6.
Goncalves, Fernando D. & J. D. Carlson. (2009). An alternate operation mode for MR fluids—magnetic gradient pinch. Journal of Physics Conference Series. 149. 12050–12050. 53 indexed citations
7.
Carlson, J. D.. (2008). Is There a Christian Realist Theory of War and Peace?. Journal of the Society of Christian Ethics. 28(1). 133–161. 5 indexed citations
8.
Carlson, J. D., Ping Sheng, & Weijia Wen. (2006). Magnetorheological and Electrorheological Fluid Highlights. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3 indexed citations
9.
Carlson, J. D., et al.. (2006). Safeguards and Non-proliferation: Current Challenges and the Implications for Australia. 1146. 3 indexed citations
10.
Spencer, Billie F., et al.. (2004). Dynamic Modeling of Large-Scale Magnetorheological Damper Systems for Civil Engineering Applications. Journal of Engineering Mechanics. 130(9). 1107–1114. 173 indexed citations
11.
Carlson, J. D.. (2002). Controlling Vibration with Magnetorheological Fluid Damping. Sensors. 19(2). 30–35. 4 indexed citations
12.
Carlson, J. D., et al.. (2001). <title>Smart prosthetics based on magnetorheological fluids</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4332. 308–316. 73 indexed citations
13.
Carlson, J. D.. (2000). LOW-COST MR FLUID SPONGE DEVICES. 621–628. 9 indexed citations
14.
Dyke, Shirley J., et al.. (1999). Application of magnetorheological dampers to seismically excited structures. 3727. 410–416. 22 indexed citations
15.
Dyke, Shirley J., B. F. Spencer, M.K. Sain, & J. D. Carlson. (1997). An Experimental Study of Magnetorheological Dampers for Seismic Hazard Mitigation. 1358–1362. 3 indexed citations
16.
Dyke, Shirley J., B. F. Spencer, M.K. Sain, & J. D. Carlson. (1996). A New Semi-Active Control Device for Seismic Response Reduction. Engineering Mechanics. 886–889. 9 indexed citations
17.
Spencer, Billie F., Shirley J. Dyke, M.K. Sain, & J. D. Carlson. (1996). Nonlinear identification of semi-active control devices. Engineering Mechanics. 164–167. 6 indexed citations
18.
Jolly, Mark, J. D. Carlson, & Beth Muñoz. (1996). A model of the behaviour of magnetorheological materials. Smart Materials and Structures. 5(5). 607–614. 714 indexed citations breakdown →
19.
Weiss, Keith D. & J. D. Carlson. (1994). A growing attraction to magnetic fluids. Machine design. 66(15). 61–64. 114 indexed citations
20.
Carlson, J. D., A.F. Sprecher, & H. Conrad. (1990). Electrorheological fluids : proceedings of the Second International Conference on ER Fluids. 2 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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