M. Höller

617 total citations
22 papers, 385 citations indexed

About

M. Höller is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. Höller has authored 22 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. Höller's work include Neural Networks and Applications (9 papers), Advanced Memory and Neural Computing (8 papers) and Semiconductor materials and devices (5 papers). M. Höller is often cited by papers focused on Neural Networks and Applications (9 papers), Advanced Memory and Neural Computing (8 papers) and Semiconductor materials and devices (5 papers). M. Höller collaborates with scholars based in United States, Germany and Taiwan. M. Höller's co-authors include German Cheung, Takeo Kanade, J.-Y. Bouguet, Simon Tam, Hernan Castro, Bharat Gupta, Uwe Klose, Samuel Groeschel, David E. Rumelhart and Mark Reitsma and has published in prestigious journals such as IEEE Micro, Analog Integrated Circuits and Signal Processing and International Journal of Biomedical Imaging.

In The Last Decade

M. Höller

18 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Höller United States 8 243 114 64 47 43 22 385
W. Bruce Culbertson United States 11 179 0.7× 175 1.5× 21 0.3× 60 1.3× 10 0.2× 13 436
S. Mann Canada 7 158 0.7× 29 0.3× 20 0.3× 14 0.3× 46 1.1× 15 307
Chuo-Ling Chang United States 11 483 2.0× 18 0.2× 28 0.4× 35 0.7× 19 0.4× 24 591
Cyrus Bamji United States 10 243 1.0× 256 2.2× 22 0.3× 16 0.3× 8 0.2× 23 643
Chengying Gao China 11 310 1.3× 56 0.5× 125 2.0× 101 2.1× 23 0.5× 40 465
Jin-Jang Leou Taiwan 16 687 2.8× 42 0.4× 55 0.9× 15 0.3× 9 0.2× 66 765
Chao-Tsung Huang Taiwan 17 683 2.8× 70 0.6× 36 0.6× 6 0.1× 23 0.5× 58 801
Avinash Sharma India 11 210 0.9× 40 0.4× 35 0.5× 52 1.1× 12 0.3× 60 380
H. Seidel Germany 10 327 1.3× 32 0.3× 13 0.2× 120 2.6× 68 1.6× 24 485
Tomohiro Hase Japan 7 147 0.6× 74 0.6× 28 0.4× 6 0.1× 9 0.2× 71 288

Countries citing papers authored by M. Höller

Since Specialization
Citations

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

Fields of papers citing papers by M. Höller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Höller

This figure shows the co-authorship network connecting the top 25 collaborators of M. Höller. A scholar is included among the top collaborators of M. Höller 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 M. Höller. M. Höller 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.
Höller, M., et al.. (2015). Clinical Application of Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples (A-Glyph LIC). Clinical Neuroradiology. 27(3). 263–273. 4 indexed citations
2.
Höller, M., et al.. (2012). Visualization of high angular resolution diffusion MRI data with color-coded LIC-maps. GI-Jahrestagung. 1112–1124. 2 indexed citations
3.
Höller, M., et al.. (2005). A radial basis function neural network with on-chip learning. 3. 3035–3038.
4.
Tam, Simon, et al.. (2003). A reconfigurable multi-chip analog neural network: recognition and back-propagation training. 2. 625–630. 1 indexed citations
5.
Höller, M., et al.. (2003). Neural network recognition of objects based on impact dynamics. IEEE Conference on Nuclear Science Symposium and Medical Imaging. 1 3. 829–831.
6.
Cheung, German, Takeo Kanade, J.-Y. Bouguet, & M. Höller. (2002). A real time system for robust 3D voxel reconstruction of human motions. 2. 714–720. 249 indexed citations
7.
8.
Tam, Simon, Bharat Gupta, Hernan Castro, & M. Höller. (2002). Learning on an analog VLSI neural network chip. 701–703. 24 indexed citations
9.
Ong, T.C., A. Fazio, G. Atwood, et al.. (2002). A novel memory cell using flash array contactless EPROM (FACE) technology. 91–94. 3 indexed citations
10.
Lisetti, Christine, David E. Rumelhart, & M. Höller. (1998). An Environment to Acknowledge the Interface between Affect and Cognition. 5 indexed citations
11.
Höller, M., et al.. (1993). A neural-network audio synthesizer. 18(2). 50–64.
12.
Castro, Hernan, Simon Tam, & M. Höller. (1993). Implementation and performance of an analog nonvolatile neural network. Analog Integrated Circuits and Signal Processing. 4(2). 97–113. 25 indexed citations
13.
Tam, Simon, et al.. (1992). Analog VLSI neural networks for impact signal processing. IEEE Micro. 12(6). 34–45. 7 indexed citations
14.
Höller, M., et al.. (1990). An electrically trainable artificial neural network (ETANN) with 10240 “Floating Gate” synapses. IEEE Press eBooks. 50–55. 20 indexed citations
15.
Höller, M.. (1990). VLSI Implementations of Learning and Memory Systems.. Neural Information Processing Systems. 993–1000. 4 indexed citations
16.
Höller, M.. (1990). VLSI Implementations of Learning and Memory Systems: A Review. Neural Information Processing Systems. 993–1000. 9 indexed citations
17.
Castro, Hernan, et al.. (1988). A 90ns 4mb Cmos Eprom. 120–120. 4 indexed citations
18.
Höller, M., et al.. (1985). A 100ns 256K CMOS EPROM. 164–165. 8 indexed citations
19.
Höller, M., et al.. (1983). A 200ns 256k HMOSII EPROM. 162–163. 5 indexed citations
20.
Pathak, Shashank, et al.. (1980). A 64K EPROM using scaled MOS technology. 142–143. 7 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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