Martin Azizyan
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- Mobile Crowdsensing and Crowdsourcing 2
- Transportation top 2%
- Human Mobility and Location-Based Analysis 2
- Signal Processing top 5%
- Blind Source Separation Techniques 2
- Ocean Engineering top 2%
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- Indoor and Outdoor Localization Technologies 3
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- Sparse and Compressive Sensing Techniques 2
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- Data-Driven Disease Surveillance 1
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- Image and Signal Denoising Methods 1
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- Distributed Sensor Networks and Detection Algorithms 1
- Co-authors
- Romit Roy ChoudhuryIonut ConstandacheXuan BaoJeehyung LeeRhiju DasSnehal GaikwadWipapat KladwangMin Jae Lee
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Figshare (1 paper)ACM SIGMOBILE Mobile Computing and Communications Review (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Martin Azizyan
8 papers receiving 939 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Science Applications 252
- Transportation 183
- Signal Processing 174
- Ocean Engineering 225
- Electrical and Electronic Engineering 590
Countries citing papers authored by Martin Azizyan
This map shows the geographic impact of Martin Azizyan'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 Martin Azizyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Azizyan more than expected).
Fields of papers citing papers by Martin Azizyan
This network shows the impact of papers produced by Martin Azizyan. 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 Martin Azizyan. The network helps show where Martin Azizyan may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Martin Azizyan, 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 | 2018 | 5 | |
| 2 | 2014 | 182 | |
| 3 | 2014 | 13 | |
| 4 | Efficient Sparse Clustering of High-Dimensional Non-spherical | 2014 | 1 |
| 5 | 2012 | 5 | |
| 6 | 2010 | 154 | |
| 7 | SurroundSensebreakdown → | 2009 | 564 |
| 8 | 2009 | 38 |
About Martin Azizyan
Martin Azizyan is a scholar working on Computer Science Applications, Transportation and Signal Processing, having authored 8 papers that have together received 962 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Blind Source Separation Techniques (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Human Mobility and Location-Based Analysis (2 papers), Data-Driven Disease Surveillance (1 paper), Image and Signal Denoising Methods (1 paper) and Distributed Sensor Networks and Detection Algorithms (1 paper). The work is most often cited by research in Computer Science Applications (252 citations), Transportation (183 citations) and Signal Processing (174 citations). Martin Azizyan has collaborated with scholars based in United States and South Korea. Frequent co-authors include Romit Roy Choudhury, Ionut Constandache, Xuan Bao, Jeehyung Lee, Rhiju Das, Snehal Gaikwad, Wipapat Kladwang, Min Jae Lee, Adrien Treuille and Alex Limpaecher. Their work appears in journals such as Proceedings of the National Academy of Sciences, Figshare and ACM SIGMOBILE Mobile Computing and Communications Review.
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.