L.G. Olson

1.4k total citations
63 papers, 1.0k citations indexed

About

L.G. Olson is a scholar working on Mechanics of Materials, Mathematical Physics and Control and Systems Engineering. According to data from OpenAlex, L.G. Olson has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanics of Materials, 17 papers in Mathematical Physics and 13 papers in Control and Systems Engineering. Recurrent topics in L.G. Olson's work include Numerical methods in inverse problems (17 papers), Electrical and Bioimpedance Tomography (10 papers) and Fluid Dynamics and Vibration Analysis (9 papers). L.G. Olson is often cited by papers focused on Numerical methods in inverse problems (17 papers), Electrical and Bioimpedance Tomography (10 papers) and Fluid Dynamics and Vibration Analysis (9 papers). L.G. Olson collaborates with scholars based in United States, Canada and United Kingdom. L.G. Olson's co-authors include Klaus‐Jürgen Bathe, R.D. Throne, William W. Schultz, Georgios C. Georgiou, Georgios Georgiou, George Gogos, Jüri Kurol, John R. Windle, Christopher G. Ullrich and David Matthews and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Biomedical Engineering and Plastic & Reconstructive Surgery.

In The Last Decade

L.G. Olson

59 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.G. Olson United States 19 396 302 186 182 179 63 1.0k
M.R. Hematiyan Iran 23 332 0.8× 1.4k 4.8× 170 0.9× 120 0.7× 693 3.9× 113 1.8k
Antoinette M. Maniatty United States 20 238 0.6× 824 2.7× 303 1.6× 27 0.1× 155 0.9× 60 1.4k
R.E. Nickell United States 11 318 0.8× 276 0.9× 100 0.5× 117 0.6× 125 0.7× 35 754
Sorin Vlase Romania 20 132 0.3× 813 2.7× 266 1.4× 168 0.9× 249 1.4× 185 1.6k
C.V. Massalas Greece 18 216 0.5× 449 1.5× 392 2.1× 108 0.6× 303 1.7× 89 1.1k
Erwin Stein Germany 22 630 1.6× 1.0k 3.5× 368 2.0× 79 0.4× 279 1.6× 68 1.9k
José R. Fernández Spain 21 131 0.3× 1.2k 4.0× 375 2.0× 195 1.1× 58 0.3× 200 1.8k
Patrick Smolinski United States 32 478 1.2× 459 1.5× 527 2.8× 82 0.5× 79 0.4× 120 3.0k
Matti Schneider Germany 28 277 0.7× 2.0k 6.8× 236 1.3× 63 0.3× 237 1.3× 111 2.4k
G. Dhatt Canada 19 333 0.8× 591 2.0× 99 0.5× 273 1.5× 584 3.3× 41 1.3k

Countries citing papers authored by L.G. Olson

Since Specialization
Citations

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

Fields of papers citing papers by L.G. Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.G. Olson. 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 L.G. Olson. The network helps show where L.G. Olson may publish in the future.

Co-authorship network of co-authors of L.G. Olson

This figure shows the co-authorship network connecting the top 25 collaborators of L.G. Olson. A scholar is included among the top collaborators of L.G. Olson 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 L.G. Olson. L.G. Olson 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.
Olson, L.G. & R.D. Throne. (2022). Stiffness mapping for early detection of breast cancer: combined force and displacement measurements. Engineering With Computers. 38(5). 4023–4041. 3 indexed citations
2.
Olson, L.G. & R.D. Throne. (2012). An inverse problem approach to stiffness mapping for early detection of breast cancer. Inverse Problems in Science and Engineering. 21(2). 314–338. 10 indexed citations
3.
Throne, R.D., et al.. (2006). Estimates of Endocardial Potentials from Non-contact Intracavitary Probes. PubMed. 7. 2560–2563. 1 indexed citations
4.
Gorishnyy, Taras, L.G. Olson, Magnus Odén, Samir Aouadi, & S. L. Rohde. (2002). Optimization of wear-resistant coating architectures using finite element analysis. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 21(1). 332–339. 20 indexed citations
6.
Geselowitz, David B., et al.. (2000). Comments on "Fusion of body surface potential and body surface Laplacian signals for electrocardiographic imaging". IEEE Transactions on Biomedical Engineering. 47(8). 1138–1138. 1 indexed citations
7.
Throne, R.D. & L.G. Olson. (2000). Fusion of body surface potential and body surface Laplacian signals for electrocardiographic imaging. IEEE Transactions on Biomedical Engineering. 47(4). 452–462. 14 indexed citations
8.
Throne, R.D., et al.. (1999). A comparison of higher-order generalized eigensystem techniques and tikhonov regularization for the inverse problem of electrocardiography*. Inverse problems in engineering. 7(2). 143–193. 13 indexed citations
10.
Gogos, George, et al.. (1998). New models for rotational molding of plastics. Polymer Engineering and Science. 38(9). 1387–1398. 27 indexed citations
11.
Olson, L.G., R.D. Throne, & John R. Windle. (1997). Performance of generalized eigensystem and truncated singular value decomposition methods for the inverse problem of electrocardiography. Inverse problems in engineering. 5(4). 239–277. 6 indexed citations
12.
Throne, R.D., et al.. (1997). Generalized eigensystem techniques for the inverse problem of electrocardiography applied to a realistic heart-torso geometry. IEEE Transactions on Biomedical Engineering. 44(6). 447–454. 23 indexed citations
13.
Gogos, George, et al.. (1997). Computational model for rotational molding of thermoplastics. 3216–3219. 1 indexed citations
14.
Throne, R.D. & L.G. Olson. (1995). The effects of errors in assumed conductivities and geometry on numerical solutions to the inverse problem of electrocardiography. IEEE Transactions on Biomedical Engineering. 42(12). 1192–1200. 30 indexed citations
15.
Olson, L.G. & R.D. Throne. (1995). Computational issues arising in multidimensional elliptic inverseproblems: the inverse problem of electrocardiography. Engineering Computations. 12(4). 343–356. 19 indexed citations
16.
Throne, R.D. & L.G. Olson. (1994). A generalized eigensystem approach to the inverse problem of electrocardiography. IEEE Transactions on Biomedical Engineering. 41(6). 592–600. 33 indexed citations
17.
Olson, L.G., et al.. (1994). A variational approach for modelling surface tension effects in inviscid fluids. Computational Mechanics. 14(2). 140–153. 5 indexed citations
18.
Olson, L.G.. (1993). A simplified finite element model for ultrasonic cleaning. Journal of Sound and Vibration. 161(1). 137–156. 2 indexed citations
19.
Kurol, Jüri & L.G. Olson. (1991). Ankylosis of primary molars--a future periodontal threat to the first permanent molars?. European Journal of Orthodontics. 13(5). 404–409. 26 indexed citations
20.
Lachance, Marc‐André, et al.. (1985). Assessment of Intraspecific Variation in Clavispora sp. by Restriction Mapping of Tandemly Repeated Deoxyribonucleic Acid. International Journal of Systematic Bacteriology. 35(4). 462–466. 6 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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