Steven R. LeClair

1.4k total citations
61 papers, 1.1k citations indexed

About

Steven R. LeClair is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Steven R. LeClair has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Industrial and Manufacturing Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Steven R. LeClair's work include Manufacturing Process and Optimization (17 papers), Neural Networks and Applications (11 papers) and Near-Field Optical Microscopy (9 papers). Steven R. LeClair is often cited by papers focused on Manufacturing Process and Optimization (17 papers), Neural Networks and Applications (11 papers) and Near-Field Optical Microscopy (9 papers). Steven R. LeClair collaborates with scholars based in United States, Japan and South Korea. Steven R. LeClair's co-authors include A. G. Jackson, Massood Tabib‐Azar, M. C. Ohmer, George E. Ponchak, C. L. Philip Chen, Yoh‐Han Pao, B. Igelnik, Weidong Ma, Yiming Rong and Preeti Pathak and has published in prestigious journals such as Journal of Applied Physics, Acta Materialia and Sensors and Actuators B Chemical.

In The Last Decade

Steven R. LeClair

57 papers receiving 985 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven R. LeClair United States 17 400 280 224 168 161 61 1.1k
Chi Kin Chow Hong Kong 20 550 1.4× 210 0.8× 300 1.3× 90 0.5× 146 0.9× 57 1.6k
Wen Shen China 18 396 1.0× 163 0.6× 415 1.9× 38 0.2× 142 0.9× 67 1.0k
Shih-Chieh Chang Taiwan 21 1.1k 2.8× 168 0.6× 259 1.2× 68 0.4× 280 1.7× 138 1.5k
Witold Jacak Poland 16 258 0.6× 279 1.0× 206 0.9× 54 0.3× 219 1.4× 79 780
K. Inoue Japan 12 143 0.4× 53 0.2× 149 0.7× 100 0.6× 140 0.9× 59 854
Guifang Shao China 19 135 0.3× 116 0.4× 403 1.8× 38 0.2× 152 0.9× 88 963
V. Natarajan India 24 1.7k 4.2× 492 1.8× 186 0.8× 96 0.6× 208 1.3× 112 2.2k
Teng Jiang China 18 240 0.6× 154 0.6× 298 1.3× 59 0.4× 145 0.9× 68 1.0k
Yuki Sato Japan 17 157 0.4× 304 1.1× 280 1.3× 36 0.2× 548 3.4× 114 1.6k
K. A. Jose United States 17 796 2.0× 372 1.3× 166 0.7× 48 0.3× 140 0.9× 67 1.3k

Countries citing papers authored by Steven R. LeClair

Since Specialization
Citations

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

Fields of papers citing papers by Steven R. LeClair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven R. LeClair. 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 Steven R. LeClair. The network helps show where Steven R. LeClair may publish in the future.

Co-authorship network of co-authors of Steven R. LeClair

This figure shows the co-authorship network connecting the top 25 collaborators of Steven R. LeClair. A scholar is included among the top collaborators of Steven R. LeClair 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 Steven R. LeClair. Steven R. LeClair 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.
LeClair, Steven R., et al.. (2003). Qualitative process automation. 558–563. 3 indexed citations
2.
Tabib‐Azar, Massood, Tao Zhang, & Steven R. LeClair. (2002). Self-oscillating evanescent microwave probes for nondestructive evaluations of materials. IEEE Transactions on Instrumentation and Measurement. 51(5). 1126–1132. 6 indexed citations
3.
Igelnik, B., Massood Tabib‐Azar, & Steven R. LeClair. (2001). A net with complex weights. IEEE Transactions on Neural Networks. 12(2). 236–249. 13 indexed citations
4.
Kim, Jaihie, et al.. (2000). Intelligent process control via gaze detection technology. Engineering Applications of Artificial Intelligence. 13(5). 577–587. 19 indexed citations
5.
Pao, Y.-H., et al.. (2000). Analysis and visualization of category membership distribution in multivariate data. Engineering Applications of Artificial Intelligence. 13(5). 521–525. 2 indexed citations
6.
Igelnik, B., et al.. (1999). The ensemble approach to neural-network learning and generalization. IEEE Transactions on Neural Networks. 10(1). 19–30. 47 indexed citations
7.
Kim, Jaihie, Gu‐Gon Park, & Steven R. LeClair. (1999). Process control via gaze detection technology. 1263–1269 vol.2. 2 indexed citations
8.
Tabib‐Azar, Massood, Deji Akinwande, George E. Ponchak, & Steven R. LeClair. (1999). Evanescent microwave probes on high-resistivity silicon and its application in characterization of semiconductors. Review of Scientific Instruments. 70(7). 3083–3086. 23 indexed citations
9.
Tabib‐Azar, Massood, et al.. (1999). 0.4 μm spatial resolution with 1 GHz (λ=30 cm) evanescent microwave probe. Review of Scientific Instruments. 70(3). 1725–1729. 85 indexed citations
10.
Jackson, A. G., M. C. Ohmer, & Steven R. LeClair. (1997). Relationship of the second order nonlinear optical coefficient to energy gap in inorganic non-centrosymmetric crystals. Infrared Physics & Technology. 38(4). 233–244. 169 indexed citations
11.
Pao, Yoh‐Han, et al.. (1996). Neural-net computing for interpretation of semiconductor film optical ellipsometry parameters. IEEE Transactions on Neural Networks. 7(4). 816–829. 9 indexed citations
12.
Maguire, John F., et al.. (1996). An Intelligent Real-Time System for Polymer and Composite Processing. IFAC Proceedings Volumes. 29(7). 259–262. 2 indexed citations
13.
Jackson, A. G., et al.. (1996). Rough sets applied to materials data. Acta Materialia. 44(11). 4475–4484. 16 indexed citations
14.
Weiss, Ittay, Raghavan Srinivasan, Muhammad Saqib, et al.. (1996). Bulk deformation of Ti-6.8Mo-4.5Fe-1.5Al (timetal LCB) alloy. Journal of Materials Engineering and Performance. 5(3). 335–352. 9 indexed citations
15.
Pao, Y.-H., et al.. (1994). Neural-net based optical ellipsometry for monitoring growth of semiconductor films. Annual Review in Automatic Programming. 19. 123–128. 2 indexed citations
16.
Chen, C. L. Philip & Steven R. LeClair. (1994). Integration of design and manufacturing: solving setup generation and feature sequencing using an unsupervised-learning approach. Computer-Aided Design. 26(1). 59–75. 38 indexed citations
17.
LeClair, Steven R., et al.. (1993). Self-improving process control for molecular beam epitaxy. The International Journal of Advanced Manufacturing Technology. 8(4). 244–251. 5 indexed citations
18.
LeClair, Steven R., et al.. (1989). Qualitative Process Automation. International Journal of Computer Integrated Manufacturing. 2(4). 205–211. 16 indexed citations
19.
LeClair, Steven R., et al.. (1987). Qualitative Process Automation vs. Quantitative Process Control. American Control Conference. 24(24). 1368–1374. 9 indexed citations
20.
LeClair, Steven R.. (1986). Sensor fusion: the application of artificial intelligence technology to process control. 4(2). 125–132. 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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