Mu Mu
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- Neuroscience and Neuropharmacology Research 10
- Neurotransmitter Receptor Influence on Behavior 9
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- Image and Video Quality Assessment 28
- Signal Processing top 5%
- Video Coding and Compression Technologies 11
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- Peer-to-Peer Network Technologies 11
- Caching and Content Delivery 11
- Network Traffic and Congestion Control 10
- Human-Computer Interaction top 5%
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- Multimedia Communication and Technology 19
Mu Mu
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 129
- Cellular and Molecular Neuroscience 479
- Computer Vision and Pattern Recognition 422
- Signal Processing 166
- Computer Networks and Communications 340
- Human-Computer Interaction 70
Countries citing papers authored by Mu Mu
This map shows the geographic impact of Mu Mu'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 Mu Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu Mu more than expected).
Fields of papers citing papers by Mu Mu
This network shows the impact of papers produced by Mu Mu. 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 Mu Mu. The network helps show where Mu Mu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mu Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 49 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 41 | |
| 7 | STEER: Exploring the dynamic relationship between social information and networked media through experimentation | 2015 | 0 |
| 8 | Context-aware LDA: Balancing Relevance and Diversity in TV Content Recommenders | 2015 | 7 |
| 9 | STEER: A Social Telemedia Environment for Experimental Research | 2012 | 0 |
| 10 | Application-level fairness | 2008 | 4 |
| 11 | 2000 | 139 | |
| 12 | 2000 | 21 | |
| 13 | 2000 | 72 | |
| 14 | 1999 | 53 | |
| 15 | 1999 | 2 | |
| 16 | 1997 | 130 | |
| 17 | 1996 | 26 | |
| 18 | 1995 | 65 | |
| 19 | 1995 | 5 | |
| 20 | 1994 | 25 |
About Mu Mu
Mu Mu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Networks and Communications, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (28 papers), Multimedia Communication and Technology (19 papers), Peer-to-Peer Network Technologies (11 papers), Video Coding and Compression Technologies (11 papers), Caching and Content Delivery (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Network Traffic and Congestion Control (10 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (479 citations), Computer Vision and Pattern Recognition (422 citations) and Signal Processing (166 citations). Mu Mu has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Hank F. Kung, Mei‐Ping Kung, Nicholas Race, Matthew Broadbent, Catherine Hou, Paul D. Acton, Shunichi Oya, Yehia Elkhatib, Panagiotis Georgopoulos and Michael J. Siciliano.
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.