Michael Horowitz

707 citations
9 papers · 506 indexed · h-index 7

Impact in

Papers in

Michael Horowitz

8 papers receiving 467 citations

Peers

Michael Horowitz
Comparison fields: 5 of 46
  • Signal Processing 412
  • Computer Vision and Pattern Recognition 413
  • Hardware and Architecture 33
  • Computer Networks and Communications 43
  • Sociology and Political Science 81
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Aditya Mavlankar United States
Ahmad Salah El Ahmad United Kingdom
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Jin‐Woo Hong South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Michael Horowitz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Horowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Michael Horowitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Horowitz Line = papers co-authored together Michael Horowitz links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2013133
2 201219
3 201012
4 20062
5 20056
6 2003302
7 20020
8
MOKSHA - Writings on Psychedelics and the Visionary Experience 1931 - 1963
198317
9
Moksha: Aldous Huxley's Classic Writings on Psychedelics and the Visionary Experience
197715

About Michael Horowitz

Michael Horowitz is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Management, Computational Mechanics and Clinical Psychology, having authored 9 papers that have together received 506 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (4 papers), Video Coding and Compression Technologies (4 papers), Image and Video Quality Assessment (3 papers), Advanced Vision and Imaging (2 papers), Psychedelics and Drug Studies (2 papers), Economic and Technological Innovation (1 paper), Complex Systems and Decision Making (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Signal Processing (412 citations), Computer Vision and Pattern Recognition (413 citations), Hardware and Architecture (33 citations), Computer Networks and Communications (43 citations) and Sociology and Political Science (81 citations). Michael Horowitz has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include F. Kossentini, Anthony Joch, Antti Hallapuro, Kiran Misra, Minhua Zhou, A. Fuldseth, Andrew Segall, Aldous Huxley, Cynthia L. Palmer and Alexandros Eleftheriadis. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Journal of Strategic Studies, IEEE Transactions on Circuits and Systems for Video Technology, Foreign Affairs and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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