Eric A. Lindgren

619 total citations
64 papers, 405 citations indexed

About

Eric A. Lindgren is a scholar working on Mechanical Engineering, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Eric A. Lindgren has authored 64 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Mechanical Engineering, 36 papers in Mechanics of Materials and 24 papers in Civil and Structural Engineering. Recurrent topics in Eric A. Lindgren's work include Non-Destructive Testing Techniques (37 papers), Ultrasonics and Acoustic Wave Propagation (30 papers) and Structural Health Monitoring Techniques (19 papers). Eric A. Lindgren is often cited by papers focused on Non-Destructive Testing Techniques (37 papers), Ultrasonics and Acoustic Wave Propagation (30 papers) and Structural Health Monitoring Techniques (19 papers). Eric A. Lindgren collaborates with scholars based in United States. Eric A. Lindgren's co-authors include John C. Aldrin, Jeremy S. Knopp, Harold A. Sabbagh, Charles Annis, M. Rosen, Priscilla L. Southwell, Kumar V. Jata, Donald O. Thompson, Dale E. Chimenti and Eric B. Shell and has published in prestigious journals such as Journal of Applied Physics, The Journal of the Acoustical Society of America and Materials Science and Engineering A.

In The Last Decade

Eric A. Lindgren

58 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric A. Lindgren United States 12 259 250 141 86 46 64 405
Zhufeng Yue China 12 241 0.9× 125 0.5× 125 0.9× 55 0.6× 58 1.3× 46 390
Konstantinos Karapiperis United States 12 164 0.6× 151 0.6× 269 1.9× 27 0.3× 31 0.7× 26 589
Saeid Nezamabadi France 16 277 1.1× 117 0.5× 165 1.2× 82 1.0× 12 0.3× 37 675
Maolin Liao China 11 78 0.3× 116 0.5× 91 0.6× 69 0.8× 8 0.2× 28 333
Tao Meng China 12 83 0.3× 123 0.5× 43 0.3× 137 1.6× 5 0.1× 48 443
Alexandre Clément France 12 274 1.1× 112 0.4× 183 1.3× 18 0.2× 200 4.3× 23 523
Eduardo W. V. Chaves Spain 6 384 1.5× 78 0.3× 194 1.4× 24 0.3× 14 0.3× 6 492
Abdelbacet Oueslati France 11 252 1.0× 132 0.5× 74 0.5× 17 0.2× 23 0.5× 31 328
V. Murti Australia 10 238 0.9× 62 0.2× 153 1.1× 29 0.3× 14 0.3× 19 333
Robert Visintainer United States 10 74 0.3× 147 0.6× 30 0.2× 75 0.9× 19 0.4× 36 317

Countries citing papers authored by Eric A. Lindgren

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Lindgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Lindgren. 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 Eric A. Lindgren. The network helps show where Eric A. Lindgren may publish in the future.

Co-authorship network of co-authors of Eric A. Lindgren

This figure shows the co-authorship network connecting the top 25 collaborators of Eric A. Lindgren. A scholar is included among the top collaborators of Eric A. Lindgren 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 Eric A. Lindgren. Eric A. Lindgren 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
2.
Lindgren, Eric A.. (2017). Opportunities for Nondestructive Evaluation: Quantitative Characterization. Materials Evaluation. 75(7). 862–869. 4 indexed citations
3.
Aldrin, John C., et al.. (2017). Model-based probe state estimation and crack inverse methods addressing eddy current probe variability. AIP conference proceedings. 1806. 110013–110013. 6 indexed citations
4.
Aldrin, John C., Charles Annis, Harold A. Sabbagh, & Eric A. Lindgren. (2016). Best practices for evaluating the capability of nondestructive evaluation (NDE) and structural health monitoring (SHM) techniques for damage characterization. AIP conference proceedings. 1706. 200002–200002. 12 indexed citations
5.
Sabbagh, Harold A., et al.. (2016). Nondestructive damage characterization of complex aircraft structures by inverse methods: Advances in multiscale models. AIP conference proceedings. 1706. 90007–90007. 1 indexed citations
6.
Southwell, Priscilla L., et al.. (2016). A Case Study in Left Wing Neo-Populism: The Rise of the Syriza Party in Greece. Review of European Studies. 8(4). 174–174.
7.
Shell, Eric B., et al.. (2016). Flaw characterization using inversion of eddy current response and the effect of filters and scan resolution. AIP conference proceedings. 1706. 90021–90021. 5 indexed citations
8.
Aldrin, John C., Charles Annis, Harold A. Sabbagh, et al.. (2015). Case study on NDE characterization metrics for optimization, validation and quality control. AIP conference proceedings. 1650. 845–855. 1 indexed citations
9.
Удпа, Лалита, et al.. (2014). Statistical algorithms for eddy current signal and noise analysis. AIP conference proceedings. 1328–1335. 1 indexed citations
10.
Aldrin, John C., et al.. (2013). Progress in defect quantification in multi-layered structures using ultrasonic inspection. AIP conference proceedings. 769–776. 4 indexed citations
11.
Lindgren, Eric A., et al.. (2011). Demonstration of Model Assisted Reliability Assessment Protocol on a Proposed Low Frequency Vibration Based Damage Sensing Case. Structural Health Monitoring.
12.
Lindgren, Eric A., et al.. (2011). The Need and Requirements for Validating Damage Detection Capability. Structural Health Monitoring. 4 indexed citations
13.
Aldrin, John C., et al.. (2011). Protocol for Reliability Assessment of Structural Health Monitoring Systems Incorporating Model-Assisted Probability of Detection (MAPOD) Approach. Structural Health Monitoring. 16 indexed citations
14.
Aldrin, John C., et al.. (2011). CASE STUDIES FOR MODEL-ASSISTED PROBABILISTIC RELIABILITY ASSESSMENT FOR STRUCTURAL HEALTH MONITORING SYSTEMS. AIP conference proceedings. 1589–1596. 9 indexed citations
15.
Lindgren, Eric A., et al.. (2007). Ultrasonic plate waves for fatigue crack detection in multi-layered metallic structures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6532. 653207–653207. 17 indexed citations
16.
Aldrin, John C., et al.. (2006). Reliability Demonstration for an Eddy Current NDE Technique Using A Computational Electromagnetic Model-Assisted Approach (Postprint). Defense Technical Information Center (DTIC). 1 indexed citations
17.
Lindgren, Eric A., et al.. (2003). Nondestructive Evaluation (NDE) Technology Initiatives Program (NTIP) Delivery Order 0029: Advanced Thermosonic Methods (SONIC IR). Defense Technical Information Center (DTIC). 1 indexed citations
18.
Lindgren, Eric A., Jay C. Poret, M. Rosen, et al.. (1998). Development of Terfenol-D transducer material. Journal of Applied Physics. 83(11). 7282–7284. 14 indexed citations
19.
Lindgren, Eric A., et al.. (1994). <title>Thermographic inspection of marine composite structures</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2245. 173–175. 1 indexed citations
20.
Poret, Jay C., et al.. (1993). Laser-generated ultrasonic characterization of irradiated glass optical fibers. Journal of Non-Crystalline Solids. 160(1-2). 82–88. 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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