L.A. Feldkamp

12.5k total citations · 3 hit papers
100 papers, 9.4k citations indexed

About

L.A. Feldkamp is a scholar working on Artificial Intelligence, Control and Systems Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, L.A. Feldkamp has authored 100 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 24 papers in Control and Systems Engineering and 17 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in L.A. Feldkamp's work include Neural Networks and Applications (40 papers), Control Systems and Identification (18 papers) and Advanced Chemical Physics Studies (12 papers). L.A. Feldkamp is often cited by papers focused on Neural Networks and Applications (40 papers), Control Systems and Identification (18 papers) and Advanced Chemical Physics Studies (12 papers). L.A. Feldkamp collaborates with scholars based in United States, Czechia and France. L.A. Feldkamp's co-authors include L. C. Davis, G.V. Puskorius, Steven A. Goldstein, G. Jesion, Robert W. Goulet, Janet L. Kuhn, Michael A. Parfitt, Michael Kleerekoper, Marc B. Brown and G. Venkataraman and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

L.A. Feldkamp

98 papers receiving 9.0k citations

Hit Papers

Practical cone-beam algorithm 1984 2026 1998 2012 1984 1989 1994 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.A. Feldkamp United States 30 3.7k 3.4k 1.7k 1.0k 1.0k 100 9.4k
H. E. Cline United States 39 3.5k 0.9× 3.3k 1.0× 357 0.2× 227 0.2× 597 0.6× 122 19.2k
Françoise Peyrin France 54 2.3k 0.6× 3.4k 1.0× 1.3k 0.8× 2.7k 2.6× 159 0.2× 311 8.6k
James F. Greenleaf United States 54 10.2k 2.8× 10.2k 3.0× 193 0.1× 864 0.8× 1.1k 1.1× 386 16.5k
L. C. Davis United States 37 3.2k 0.9× 3.7k 1.1× 1.6k 1.0× 108 0.1× 2.1k 2.0× 100 9.9k
Joachim Hornegger Germany 55 7.5k 2.0× 4.0k 1.2× 648 0.4× 71 0.1× 271 0.3× 448 13.5k
Kevin J. Parker United States 51 6.1k 1.7× 5.8k 1.7× 121 0.1× 477 0.5× 301 0.3× 347 9.2k
Kaori Togashi Japan 68 7.8k 2.1× 1.8k 0.5× 246 0.1× 193 0.2× 315 0.3× 561 20.1k
Josien P. W. Pluim Netherlands 40 6.1k 1.6× 2.2k 0.6× 978 0.6× 135 0.1× 152 0.1× 180 12.5k
Aaron Fenster Canada 62 5.5k 1.5× 4.4k 1.3× 2.2k 1.3× 45 0.0× 313 0.3× 538 13.4k
Franz Pfeiffer Germany 67 4.9k 1.3× 7.2k 2.1× 15.6k 9.3× 255 0.2× 3.1k 3.0× 505 20.5k

Countries citing papers authored by L.A. Feldkamp

Since Specialization
Citations

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

Fields of papers citing papers by L.A. Feldkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L.A. Feldkamp

This figure shows the co-authorship network connecting the top 25 collaborators of L.A. Feldkamp. A scholar is included among the top collaborators of L.A. Feldkamp 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.A. Feldkamp. L.A. Feldkamp 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.
Murphey, Yi Lu, et al.. (2007). An incremental neural learning framework and its application to vehicle diagnostics. Applied Intelligence. 28(1). 29–49. 8 indexed citations
2.
Puskorius, G.V. & L.A. Feldkamp. (2005). Global calibration of a robot/vision system. 4. 190–195. 10 indexed citations
3.
Murphey, Yi Lu, Hong Guo, & L.A. Feldkamp. (2004). Neural Learning from Unbalanced Data. Applied Intelligence. 21(2). 117–128. 57 indexed citations
4.
Feldkamp, L.A., et al.. (2003). Training a hybrid neural-fuzzy system. 2. 739–744. 4 indexed citations
5.
Feldkamp, L.A., et al.. (2003). Recurrent neural network training by nprKF joint estimation. i. 2086–2091. 6 indexed citations
6.
Feldkamp, L.A., et al.. (2003). Neural control systems trained by dynamic gradient methods for automotive applications. 2. 798–804. 3 indexed citations
7.
Feldkamp, L.A., et al.. (2003). Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks☆. Neural Networks. 16(5-6). 683–689. 51 indexed citations
8.
Feldkamp, L.A., et al.. (2002). Influence value defuzzification method. Proceedings of IEEE 5th International Fuzzy Systems. 3. 1819–1824. 8 indexed citations
9.
Feldkamp, L.A. & G.V. Puskorius. (1998). A signal processing framework based on dynamic neural networks with application to problems in adaptation, filtering, and classification. Proceedings of the IEEE. 86(11). 2259–2277. 98 indexed citations
10.
Puskorius, G.V., L.A. Feldkamp, & L. I. Davis. (1996). Dynamic neural network methods applied to on-vehicle idle speed control. Proceedings of the IEEE. 84(10). 1407–1420. 60 indexed citations
11.
Goulet, Robert W., et al.. (1994). The relationship between the structural and orthogonal compressive properties of trabecular bone. Journal of Biomechanics. 27(4). 375–389. 573 indexed citations breakdown →
12.
Davis, L. I., et al.. (1992). Neural network modeling and control of an anti-lock brake system. 179–184. 27 indexed citations
13.
Feldkamp, L.A., G. Jesion, G.V. Puskorius, & David Kubinski. (1991). Neural network classifier to threshold images from 3D microcomputed tomography. 934 vol.2–934 vol.2. 1 indexed citations
14.
Feldkamp, L.A., L. C. Davis, & S Webb. (1988). Comments, with reply, on "Tomographic reconstruction from experimentally obtained cone-beam projections" by S. Webb, et al. IEEE Transactions on Medical Imaging. 7(1). 73–74. 7 indexed citations
15.
Feldkamp, L.A., et al.. (1984). Practical cone-beam algorithm. Journal of the Optical Society of America A. 1(6). 10 indexed citations
16.
Feldkamp, L.A., et al.. (1983). X-Ray Tomography Applied to NDE of Ceramics. 5 indexed citations
17.
Feldkamp, L.A. & L. C. Davis. (1980). X-ray photoemission spectra of core levels in Ni metal. Physical review. B, Condensed matter. 22(8). 3644–3653. 67 indexed citations
18.
Feldkamp, L.A., L. C. Davis, & Mary Beth Stearns. (1977). Analysis of electron inelastic-scattering data with application to Cu. Physical review. B, Solid state. 15(12). 5535–5544. 27 indexed citations
19.
Stearns, Mary Beth & L.A. Feldkamp. (1976). Comparison ofd-moment perturbations from hyperfine fields and neutron scattering in Fe alloys. Physical review. B, Solid state. 13(3). 1198–1204. 22 indexed citations
20.
Lynch, John E., G. C. Summerfield, L.A. Feldkamp, & John S. King. (1968). Neutron Scattering in Normal and Deuterated Polyethylene. The Journal of Chemical Physics. 48(2). 912–917. 20 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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