Mathew Laibowitz

427 total citations
13 papers, 237 citations indexed

About

Mathew Laibowitz is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Networks and Communications. According to data from OpenAlex, Mathew Laibowitz has authored 13 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Human-Computer Interaction and 3 papers in Computer Networks and Communications. Recurrent topics in Mathew Laibowitz's work include Context-Aware Activity Recognition Systems (5 papers), Interactive and Immersive Displays (4 papers) and Innovative Human-Technology Interaction (4 papers). Mathew Laibowitz is often cited by papers focused on Context-Aware Activity Recognition Systems (5 papers), Interactive and Immersive Displays (4 papers) and Innovative Human-Technology Interaction (4 papers). Mathew Laibowitz collaborates with scholars based in United States and Finland. Mathew Laibowitz's co-authors include Joseph A. Paradiso, Alex Pentland, Nan‐Wei Gong, Jonathan Gips, Mark Feldmeier, Joshua Lifton, Drew Harry, David Merrill, Pattie Maes and Ronald Azuma and has published in prestigious journals such as IEEE Pervasive Computing, Personal and Ubiquitous Computing and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Mathew Laibowitz

13 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathew Laibowitz United States 7 94 89 67 64 32 13 237
Jonathan Gips United States 8 120 1.3× 76 0.9× 34 0.5× 62 1.0× 59 1.8× 12 291
Gianni Vercelli Italy 9 67 0.7× 47 0.5× 34 0.5× 34 0.5× 31 1.0× 72 325
Stavros Antifakos Switzerland 7 111 1.2× 48 0.5× 36 0.5× 64 1.0× 8 0.3× 9 214
Rainhard Dieter Findling Austria 12 50 0.5× 48 0.5× 70 1.0× 81 1.3× 29 0.9× 29 289
Esko Strömmer Finland 11 66 0.7× 69 0.8× 116 1.7× 53 0.8× 63 2.0× 20 304
Anindya Maiti United States 10 64 0.7× 71 0.8× 33 0.5× 58 0.9× 13 0.4× 26 308
Babak Naderi Germany 10 74 0.8× 24 0.3× 34 0.5× 38 0.6× 10 0.3× 37 322
Heikki Keränen Finland 5 209 2.2× 127 1.4× 29 0.4× 42 0.7× 6 0.2× 14 343
Casey J. Helfrich United States 6 149 1.6× 161 1.8× 19 0.3× 27 0.4× 35 1.1× 7 396
Séamus McLoone Ireland 8 72 0.8× 162 1.8× 15 0.2× 62 1.0× 10 0.3× 43 298

Countries citing papers authored by Mathew Laibowitz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mathew Laibowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Mathew Laibowitz. A scholar is included among the top collaborators of Mathew Laibowitz 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 Mathew Laibowitz. Mathew Laibowitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Laibowitz, Mathew, et al.. (2012). Chamber of Mirrors: A Socially Activated Game Exploits Pervasive Technology. IEEE Pervasive Computing. 11(2). 38–45. 1 indexed citations
2.
Laibowitz, Mathew, Nan‐Wei Gong, & Joseph A. Paradiso. (2010). Multimedia content creation using societal-scale ubiquitous camera networks and human-centric wearable sensing. 571–580. 4 indexed citations
3.
Gong, Nan‐Wei, Mathew Laibowitz, & Joseph A. Paradiso. (2010). Experiences and challenges in deploying potentially invasive sensor systems for dynamic media applications. 18–21. 2 indexed citations
4.
Lifton, Joshua, et al.. (2009). Metaphor and Manifestation Cross-Reality with Ubiquitous Sensor/Actuator Networks. IEEE Pervasive Computing. 8(3). 24–33. 48 indexed citations
5.
Laibowitz, Mathew, et al.. (2009). Responsive Music Interfaces For Performance. DSpace@MIT (Massachusetts Institute of Technology). 37–38. 1 indexed citations
6.
Gong, Nan‐Wei, Mathew Laibowitz, & Joseph A. Paradiso. (2009). Musicgrip : A Writing Instrument For Music Control. DSpace@MIT (Massachusetts Institute of Technology). 74–77. 3 indexed citations
7.
Laibowitz, Mathew, Nan‐Wei Gong, & Joseph A. Paradiso. (2009). Wearable Sensing for Dynamic Management of Dense Ubiquitous Media. DSpace@MIT (Massachusetts Institute of Technology). 3–8. 9 indexed citations
8.
Paradiso, Joseph A., Jonathan Gips, Mathew Laibowitz, et al.. (2009). Identifying and facilitating social interaction with a wearable wireless sensor network. Personal and Ubiquitous Computing. 14(2). 137–152. 32 indexed citations
9.
Feldmeier, Mark, et al.. (2007). CargoNet. 145–159. 67 indexed citations
10.
Laibowitz, Mathew, et al.. (2006). A sensor network for social dynamics. 8 indexed citations
11.
Laibowitz, Mathew, et al.. (2006). A sensor network for social dynamics. 483–483. 41 indexed citations
12.
Laibowitz, Mathew & Joseph A. Paradiso. (2004). Wearable Wireless Transceivers. 28–39. 6 indexed citations
13.
Laibowitz, Mathew & Joseph A. Paradiso. (2004). THE UBER-BADGE - A VERSATILE PLATFORM AT THE JUNCTURE BETWEEN WEARABLE AND SOCIAL COMPUTING. 15 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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