L.D. Hostetler

4.0k total citations · 1 hit paper
16 papers, 2.6k citations indexed

About

L.D. Hostetler is a scholar working on Aerospace Engineering, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, L.D. Hostetler has authored 16 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 8 papers in Artificial Intelligence and 4 papers in Statistics and Probability. Recurrent topics in L.D. Hostetler's work include Advanced SAR Imaging Techniques (7 papers), Neural Networks and Applications (4 papers) and Inertial Sensor and Navigation (3 papers). L.D. Hostetler is often cited by papers focused on Advanced SAR Imaging Techniques (7 papers), Neural Networks and Applications (4 papers) and Inertial Sensor and Navigation (3 papers). L.D. Hostetler collaborates with scholars based in United States. L.D. Hostetler's co-authors include Keinosuke Fukunaga, Mary M. Moya, Mark W. Koch, D. Hush, Hua‐Kuang Liu, B. V. K. Vijaya Kumar and Stephen Welby and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Neural Networks.

In The Last Decade

L.D. Hostetler

15 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The estimation of the gradient of a density function, with applications in pattern recognition

1975 2.0k citations Keinosuke Fukunaga, L.D. Hostetler IEEE Transactions on Information Theory profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L.D. Hostetler United States	10	1.2k	882	424	322	247	16	2.6k
Gunnar Sparr Sweden	14	3.6k 2.9×	1.1k 1.3×	488 1.2×	538 1.7×	164 0.7×	35	5.1k
Y.P. Chien United States	11	1.1k 0.9×	1.2k 1.4×	172 0.4×	242 0.8×	136 0.6×	30	2.8k
W.J. Rucklidge United States	12	2.6k 2.1×	582 0.7×	540 1.3×	229 0.7×	126 0.5×	17	4.0k
Godfried T. Toussaint Canada	24	1.3k 1.1×	459 0.5×	316 0.7×	101 0.3×	252 1.0×	139	3.2k
Jack Sklansky United States	31	2.4k 1.9×	1.6k 1.8×	234 0.6×	342 1.1×	551 2.2×	124	5.0k
Xinhua Zhuang United States	13	1.5k 1.2×	453 0.5×	180 0.4×	284 0.9×	207 0.8×	58	2.6k
Michael Lindenbaum Israel	27	1.9k 1.5×	518 0.6×	411 1.0×	262 0.8×	139 0.6×	93	3.0k
Miguel Á. Carreira-Perpiñán United States	27	1.8k 1.5×	1.3k 1.5×	205 0.5×	242 0.8×	284 1.1×	106	3.4k
Robert A. Hummel United States	19	2.1k 1.7×	559 0.6×	335 0.8×	466 1.4×	110 0.4×	56	3.2k
Michael Werman Israel	28	3.5k 2.8×	478 0.5×	412 1.0×	775 2.4×	147 0.6×	117	4.6k

Countries citing papers authored by L.D. Hostetler

Since Specialization

Citations

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

Fields of papers citing papers by L.D. Hostetler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L.D. Hostetler

This figure shows the co-authorship network connecting the top 25 collaborators of L.D. Hostetler. A scholar is included among the top collaborators of L.D. Hostetler 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.D. Hostetler. L.D. Hostetler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Koch, Mark W., et al.. (2003). Feature discovery via neural networks for object recognition in SAR imagery. 4. 408–413.

Hush, D., et al.. (1998). Statistical modeling of targets and clutter in single-look non-polarimetric SAR imagery. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 9 indexed citations

Welby, Stephen, et al.. (1996). <title>Clipping service: ATR-based SAR image compression</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2757. 390–396. 1 indexed citations

Koch, Mark W., et al.. (1995). Cueing, feature discovery, and one-class learning for synthetic aperture radar automatic target recognition. Neural Networks. 8(7-8). 1081–1102. 57 indexed citations

Hostetler, L.D., et al.. (1994). SAR clutter suppression using probability density skewness. IEEE Transactions on Aerospace and Electronic Systems. 30(2). 622–626. 10 indexed citations

Moya, Mary M., Mark W. Koch, & L.D. Hostetler. (1993). One-class classifier networks for target recognition applications. NASA STI/Recon Technical Report N. 93. 24043. 147 indexed citations

Koch, Mark W., et al.. (1992). Feature discovery via neural networks for object recognition in SAR imagery. NASA STI/Recon Technical Report N. 92. 26902. 2 indexed citations

Moya, Mary M. & L.D. Hostetler. (1989). One-class generalization in second-order backpropagation networks for image classification. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 9 indexed citations

Kumar, B. V. K. Vijaya, et al.. (1989). <title>Linear Phase Coefficient Composite Filters For Optical Pattern Recognition</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1053. 218–226. 1 indexed citations

10.

Moya, Mary M., et al.. (1988). Back propagation for perspective-invariant pattern recognition in sar imagery. Neural Networks. 1. 204–204. 1 indexed citations

11.

Hostetler, L.D., et al.. (1983). Nonlinear Kalman filtering techniques for terrain-aided navigation. IEEE Transactions on Automatic Control. 28(3). 315–323. 169 indexed citations

12.

Hostetler, L.D., et al.. (1979). Expanding the region of convergence for SITAN through improved modelling of terrain nonlinearities. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations

13.

Hostetler, L.D.. (1978). Optimal terrain-aided navigation systems. Guidance and Control Conference. 33 indexed citations

14.

Fukunaga, Keinosuke & L.D. Hostetler. (1975). k-nearest-neighbor Bayes-risk estimation. IEEE Transactions on Information Theory. 21(3). 285–293. 79 indexed citations

15.

Fukunaga, Keinosuke & L.D. Hostetler. (1975). The estimation of the gradient of a density function, with applications in pattern recognition. IEEE Transactions on Information Theory. 21(1). 32–40. 1984 indexed citations breakdown →

16.

Fukunaga, Keinosuke & L.D. Hostetler. (1973). Optimization of k nearest neighbor density estimates. IEEE Transactions on Information Theory. 19(3). 320–326. 135 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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