Mathew Laibowitz

428 citations
15 papers · 332 · h-index 9

Impact in

Papers in

Mathew Laibowitz

15 papers receiving 312 citations

Peers

Mathew Laibowitz
Comparison fields: 5 of 59
  • Human-Computer Interaction 83
  • Computer Networks and Communications 148
  • Computer Vision and Pattern Recognition 116
  • Computer Science Applications 28
  • Information Systems and Management 20
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Jonathan Gips United States
Masayasu Futakawa Japan
Dawud Gordon Germany
Jaewoo Chung United States
Anindya Maiti United States
Alexander Nelson United States
Chris Atkeson United States
Julien Bruneau France
Séamus McLoone Ireland
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Citations per field
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Citations per year

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-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.

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

All Works

15 of 15 papers shown
#Work
1 200773
2 200957
3 200552
4 200647
5 200937
6
THE UBER-BADGE - A VERSATILE PLATFORM AT THE JUNCTURE BETWEEN WEARABLE AND SOCIAL COMPUTING
200415
7 200911
8 200610
9 20109
10
Wearable Wireless Transceivers
20047
11 20105
12 20094
13 20103
14 20091
15 20121

About Mathew Laibowitz

Mathew Laibowitz is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Networks and Communications, Computer Science Applications and Information Systems and Management, having authored 15 papers that have together received 332 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (5 papers), Innovative Human-Technology Interaction (5 papers), Interactive and Immersive Displays (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Personal Information Management and User Behavior (3 papers), Energy Efficient Wireless Sensor Networks (2 papers), Music Technology and Sound Studies (2 papers) and Augmented Reality Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (83 citations), Computer Networks and Communications (148 citations), Computer Vision and Pattern Recognition (116 citations), Computer Science Applications (28 citations) and Information Systems and Management (20 citations). Mathew Laibowitz has collaborated with scholars based in United States and Finland. Frequent co-authors include Joseph A. Paradiso, Nan‐Wei Gong, Jonathan Gips, Alex Pentland, Mark Feldmeier, Drew Harry, Joshua Lifton, Pattie Maes, David Merrill and Ronald Azuma. Their work appears in journals such as IEEE Pervasive Computing, Personal and Ubiquitous Computing, Lecture notes in computer science 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.

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