Mathew Laibowitz
Impact in
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
- Virtual Reality Applications and Impacts
- Innovative Human-Technology Interaction
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- Context-Aware Activity Recognition Systems
- Augmented Reality Applications
Papers in
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- Context-Aware Activity Recognition Systems 5
- Augmented Reality Applications 2
- Music Technology and Sound Studies 2
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- Interactive and Immersive Displays 4
- Innovative Human-Technology Interaction 4
- Co-authors
- Joseph A. Paradiso (12 shared papers)Nan‐Wei Gong (5 shared papers)Alex Pentland (3 shared papers)Jonathan Gips (3 shared papers)Mark Feldmeier (1 shared paper)Joshua Lifton (1 shared paper)Drew Harry (1 shared paper)David Merrill (1 shared paper)
- Journals
- IEEE Pervasive Computing (2 papers)Personal and Ubiquitous Computing (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (3 papers)
- Partner nations
- United StatesFinland
In The Last Decade
Mathew Laibowitz
13 papers receiving 224 citations
Peers
Comparison fields: 5 of 55
- Human-Computer Interaction 64
- Computer Vision and Pattern Recognition 94
- Computer Networks and Communications 89
- Computer Science Applications 21
- Information Systems and Management 19
Countries citing papers authored by Mathew Laibowitz
This map shows the geographic impact of Mathew Laibowitz'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 Mathew Laibowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathew Laibowitz more than expected).
Fields of papers citing papers by Mathew Laibowitz
This network shows the impact of papers produced by Mathew Laibowitz. 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 Mathew Laibowitz. The network helps show where Mathew Laibowitz may publish in the future.
Co-authors
The 10 scholars most cited alongside Mathew Laibowitz, 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 | 2007 | 67 | |
| 2 | 2009 | 48 | |
| 3 | 2006 | 41 | |
| 4 | 2009 | 32 | |
| 5 | THE UBER-BADGE - A VERSATILE PLATFORM AT THE JUNCTURE BETWEEN WEARABLE AND SOCIAL COMPUTING | 2004 | 15 |
| 6 | 2009 | 9 | |
| 7 | 2006 | 8 | |
| 8 | Wearable Wireless Transceivers | 2004 | 6 |
| 9 | 2010 | 4 | |
| 10 | 2009 | 3 | |
| 11 | 2010 | 2 | |
| 12 | 2009 | 1 | |
| 13 | 2012 | 1 |
About Mathew Laibowitz
Mathew Laibowitz is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Networks and Communications, Information Systems and Management and Computer Science Applications, having authored 13 papers that have together received 237 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (5 papers), Interactive and Immersive Displays (4 papers), Innovative Human-Technology Interaction (4 papers), Personal Information Management and User Behavior (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Augmented Reality Applications (2 papers), Music Technology and Sound Studies (2 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (64 citations), Computer Vision and Pattern Recognition (94 citations), Computer Networks and Communications (89 citations), Computer Science Applications (21 citations) and Information Systems and Management (19 citations). Mathew Laibowitz has collaborated with scholars based in United States and Finland. Frequent co-authors include Joseph A. Paradiso, Nan‐Wei Gong, Alex Pentland, Jonathan Gips, Mark Feldmeier, Joshua Lifton, Drew Harry, David Merrill, Pattie Maes and Ronald Azuma. Their work appears in journals such as IEEE Pervasive Computing, Personal and Ubiquitous Computing and DSpace@MIT (Massachusetts Institute of Technology).
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.