Fredric M. Ham

1.4k total citations
31 papers, 1.1k citations indexed

About

Fredric M. Ham is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Fredric M. Ham has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Fredric M. Ham's work include Neural Networks and Applications (10 papers), Seismic Waves and Analysis (6 papers) and Blind Source Separation Techniques (5 papers). Fredric M. Ham is often cited by papers focused on Neural Networks and Applications (10 papers), Seismic Waves and Analysis (6 papers) and Blind Source Separation Techniques (5 papers). Fredric M. Ham collaborates with scholars based in United States, South Korea and Canada. Fredric M. Ham's co-authors include Ivica Kostanic, A.A. Girgis, Robert G. Brown, Glenn M. Cohen, Marco Carvalho, Young Chan Lee, Milton Garcés, Sungjin Park, Kamel Rekab and Richard Ford and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Neural Networks and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Fredric M. Ham

28 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fredric M. Ham United States 9 426 298 272 157 68 31 1.1k
Václav Šmídl Czechia 18 482 1.1× 342 1.1× 431 1.6× 130 0.8× 119 1.8× 139 1.3k
Ivica Kostanic United States 15 588 1.4× 187 0.6× 118 0.4× 103 0.7× 56 0.8× 95 1.2k
M. J. Nigam India 17 207 0.5× 263 0.9× 277 1.0× 165 1.1× 139 2.0× 69 1.0k
Haitao Fang China 18 174 0.4× 392 1.3× 476 1.8× 172 1.1× 74 1.1× 106 1.4k
Richard A. Waltz United States 11 208 0.5× 93 0.3× 265 1.0× 136 0.9× 85 1.3× 15 1.3k
Wei Cao China 11 322 0.8× 146 0.5× 199 0.7× 115 0.7× 61 0.9× 94 734
Yongqing Wang China 16 305 0.7× 271 0.9× 76 0.3× 223 1.4× 75 1.1× 131 1.0k
René Landry Canada 20 526 1.2× 299 1.0× 137 0.5× 854 5.4× 61 0.9× 186 1.4k
Jingkun Gao China 17 650 1.5× 253 0.8× 196 0.7× 367 2.3× 151 2.2× 35 1.5k

Countries citing papers authored by Fredric M. Ham

Since Specialization
Citations

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

Fields of papers citing papers by Fredric M. Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fredric M. Ham. 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 Fredric M. Ham. The network helps show where Fredric M. Ham may publish in the future.

Co-authorship network of co-authors of Fredric M. Ham

This figure shows the co-authorship network connecting the top 25 collaborators of Fredric M. Ham. A scholar is included among the top collaborators of Fredric M. Ham 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 Fredric M. Ham. Fredric M. Ham 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.
Carvalho, Marco, et al.. (2014). Performance evaluation of static frequency reuse techniques for OFDMA cellular networks. 4. 355–360. 9 indexed citations
2.
Ham, Fredric M., et al.. (2012). A Neurocomputing Approach for Monitoring Plinian Volcanic Eruptions Using Infrasound. Procedia Computer Science. 13. 7–17. 5 indexed citations
3.
Carvalho, Marco, et al.. (2011). Network traffic classification using a parallel neural network classifier architecture. 1–1. 1 indexed citations
4.
Ham, Fredric M., et al.. (2011). Neural classification of infrasonic signals associated with hazardous volcanic eruptions. 336–341. 3 indexed citations
5.
Ham, Fredric M., et al.. (2010). Proactive reputation-based defense for MANETs using radial basis function neural networks. 1–6. 4 indexed citations
6.
Ham, Fredric M., et al.. (2008). Infrasound signal classification using parallel RBF Neural Networks. International Journal of Signal and Imaging Systems Engineering. 1(3/4). 155–155. 9 indexed citations
7.
Han, Kyu Young, Brian A. Lail, & Fredric M. Ham. (2008). Low-profile twist reflector design using genetic algorithms. 30. 1702–1707. 1 indexed citations
8.
Ham, Fredric M., et al.. (2007). A New Approach for Blind Separation of Convolutive Mixtures. IEEE International Conference on Neural Networks. 1. 2075–2080. 5 indexed citations
9.
Ham, Fredric M., et al.. (2006). Classification of infrasound events using hermite polynomial preprocessing and radial basis function neural networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6247. 624715–624715. 1 indexed citations
10.
Ham, Fredric M., et al.. (2006). Speaker recognition using parallel neural network modules. 1 indexed citations
11.
Park, Sungjin, et al.. (2005). Discrimination of infrasound events using parallel neural network classification banks. Nonlinear Analysis. 63(5-7). e859–e865. 3 indexed citations
12.
Prokhorov, Danil, Daniel S. Levine, Fredric M. Ham, & William C. Howell. (2005). Welcome to the special issue. Neural Networks. 18(5-6). 457–457. 1 indexed citations
13.
Ham, Fredric M., et al.. (2005). Wavelet signal demodulation for wireless communications. Nonlinear Analysis. 63(5-7). e839–e845.
14.
Ham, Fredric M., et al.. (2000). <title>Separation of infrasound signals using independent component analysis</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4055. 418–429. 2 indexed citations
15.
Ham, Fredric M., et al.. (1998). Inverse model formulation of partial least-squares regression: a robust neural network approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3390. 36–36.
16.
Ham, Fredric M., et al.. (1996). Multivariate determination of glucose concentrations from optimally filtered frequency-warped NIR spectra of human blood serum. Physiological Measurement. 17(1). 1–20. 21 indexed citations
17.
Ham, Fredric M. & Ivica Kostanic. (1996). <title>Partial least-squares regression neural network (PLSNET) with supervised adaptive modular learning</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2760. 139–150. 1 indexed citations
18.
Ham, Fredric M. & Ivica Kostanic. (1996). Partial least‐squares: Theoretical issues and engineering applications in signal processing. Mathematical Problems in Engineering. 2(1). 63–93. 8 indexed citations
19.
Ham, Fredric M. & Robert G. Brown. (1983). Observability, Eigenvalues, and Kalman Filtering. IEEE Transactions on Aerospace and Electronic Systems. AES-19(2). 269–273. 158 indexed citations
20.
Girgis, A.A. & Fredric M. Ham. (1980). A Quantitative Study of Pitfalls in the FFT. IEEE Transactions on Aerospace and Electronic Systems. AES-16(4). 434–439. 234 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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