Michael Deisher

2.1k total citations · 2 hit papers
25 papers, 1.4k citations indexed

About

Michael Deisher is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Michael Deisher has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 9 papers in Computational Mechanics and 8 papers in Artificial Intelligence. Recurrent topics in Michael Deisher's work include Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (9 papers) and Speech Recognition and Synthesis (8 papers). Michael Deisher is often cited by papers focused on Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (9 papers) and Speech Recognition and Synthesis (8 papers). Michael Deisher collaborates with scholars based in United States, Germany and United Kingdom. Michael Deisher's co-authors include Daniel P. Siewiorek, Asim Smailagic, Victor W. Lee, Mikhail Smelyanskiy, Pradeep Dubey, Changkyu Kim, Daehyun Kim, Anthony D. Nguyen, Ronak Singhal and Jatin Chhugani and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Journal of Solid-State Circuits.

In The Last Decade

Michael Deisher

24 papers receiving 1.3k citations

Hit Papers

Debunking the 100X GPU vs. CPU myth 2006 2026 2012 2019 2010 2006 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Deisher United States 9 622 492 342 236 229 25 1.4k
Miriam Leeser United States 24 484 0.8× 538 1.1× 761 2.2× 435 1.8× 742 3.2× 184 2.1k
Yuhao Zhu United States 24 636 1.0× 468 1.0× 343 1.0× 238 1.0× 653 2.9× 107 1.8k
Zvi M. Kedem United States 20 720 1.2× 829 1.7× 429 1.3× 258 1.1× 178 0.8× 74 2.3k
Michael McCool Canada 23 731 1.2× 338 0.7× 371 1.1× 103 0.4× 149 0.7× 51 1.6k
P. J. Narayanan India 21 1.7k 2.7× 250 0.5× 253 0.7× 257 1.1× 103 0.4× 130 2.2k
Javier Díaz Spain 21 777 1.2× 374 0.8× 160 0.5× 138 0.6× 407 1.8× 101 1.7k
Mikel Luján United Kingdom 22 450 0.7× 699 1.4× 555 1.6× 666 2.8× 552 2.4× 148 2.2k
Hyuk‐Jae Lee South Korea 19 985 1.6× 151 0.3× 209 0.6× 374 1.6× 472 2.1× 194 1.7k
Steven G. Parker United States 23 1.3k 2.2× 310 0.6× 227 0.7× 72 0.3× 69 0.3× 74 2.3k
Ibrahim M. Elfadel United States 23 202 0.3× 208 0.4× 225 0.7× 191 0.8× 1.2k 5.4× 165 2.1k

Countries citing papers authored by Michael Deisher

Since Specialization
Citations

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

Fields of papers citing papers by Michael Deisher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Deisher

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Deisher. A scholar is included among the top collaborators of Michael Deisher 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 Michael Deisher. Michael Deisher 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.
Wen, Wei, et al.. (2019). Learning Efficient Sparse Structures in Speech Recognition. 2717–2721. 2 indexed citations
2.
Stemmer, Georg, et al.. (2017). Speech Recognition and Understanding on Hardware-Accelerated DSP.. Conference of the International Speech Communication Association. 2036–2037. 5 indexed citations
3.
Deisher, Michael, et al.. (2017). Implementation of efficient, low power deep neural networks on next-generation intel client platforms. 6590–6591. 3 indexed citations
4.
Raychowdhury, Arijit, Carlos Tokunaga, W.M. Beltman, et al.. (2013). A 2.3 nJ/Frame Voice Activity Detector-Based Audio Front-End for Context-Aware System-On-Chip Applications in 32-nm CMOS. IEEE Journal of Solid-State Circuits. 48(8). 1963–1969. 45 indexed citations
5.
Fang, Zhen, et al.. (2011). ISIS: An accelerator for Sphinx speech recognition. 63. 58–61. 3 indexed citations
6.
Deisher, Michael, et al.. (2011). Designing and dynamically load balancing hybrid LU for multi/many-core. Computer Science - Research and Development. 26(3-4). 211–220. 25 indexed citations
7.
Deisher, Michael, et al.. (2010). Novel CI-backoff scheme for real-time embedded speech recognition. 1. 1614–1617. 5 indexed citations
8.
Lee, Victor W., Changkyu Kim, Jatin Chhugani, et al.. (2010). Debunking the 100X GPU vs. CPU myth. 451–460. 452 indexed citations breakdown →
9.
French, Brian, Daniel P. Siewiorek, Asim Smailagic, & Michael Deisher. (2007). Selective Sampling Strategies to Conserve Power in Context Aware Devices. 1–4. 19 indexed citations
10.
Smailagic, Asim, et al.. (2006). Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions. 113–116. 448 indexed citations breakdown →
11.
Krause, Andreas, Derek Leong, Sumit Gupta, et al.. (2005). Trading off Prediction Accuracy and Power Consumption for Context-Aware Wearable Computing. 20–26. 111 indexed citations
12.
Deisher, Michael, et al.. (2002). Efficient second-order adaptation for large vocabulary distributed speech recognition. IEEE International Conference on Acoustics Speech and Signal Processing. iii. I–205. 2 indexed citations
13.
Deisher, Michael & Andreas Spanias. (2002). HMM-based speech enhancement using harmonic modeling. 2. 1175–1178. 13 indexed citations
14.
Deisher, Michael & Andreas Spanias. (2002). Speech enhancement using a state-based transform model. 2. 1242–1246. 1 indexed citations
15.
Zhou, Guojun, et al.. (2002). Causal analysis of Speech Recognition failure in adverse environments. IEEE International Conference on Acoustics Speech and Signal Processing. IV–3816. 2 indexed citations
16.
Deisher, Michael. (1996). State-based noise reduction using the sinusoidal speech model. 1 indexed citations
17.
Tsakalis, K., Michael Deisher, & Andreas Spanias. (1995). System identification based on bounded error constraints. IEEE Transactions on Signal Processing. 43(12). 3071–3075. 4 indexed citations
18.
Deisher, Michael & Andreas Spanias. (1994). Practical considerations in the implementation of a frequency-domain adaptive noise canceller. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 41(2). 164–168. 2 indexed citations
19.
Deisher, Michael & Andreas Spanias. (1991). Real-time implementation of a frequency-domain adaptive filter on a fixed-point signal processor. 3. 2013–2016 vol.3. 4 indexed citations
20.
Deisher, Michael & Andreas Spanias. (1991). Adaptive noise cancellation using fast optimum block algorithms. 3. 698–701 vol.1. 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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