Jonathan Gips

436 citations
12 papers · 291 · h-index 8

Impact in

Papers in

Jonathan Gips

12 papers receiving 254 citations

Peers

Jonathan Gips
Comparison fields: 5 of 66
  • Human-Computer Interaction 62
  • Computer Vision and Pattern Recognition 120
  • Computer Science Applications 19
  • Computer Networks and Communications 76
  • Transportation 20
Replace Mathew Laibowitz with:
Mathew Laibowitz United States
Abhinav Parate United States
Masayasu Futakawa Japan
Kristina Yordanova Germany
Saumay Pushp South Korea
Morihiko Tamai Japan
Henry Holtzman United States
Eri Sato-Shimokawara Japan
Heikki Keränen Finland
Alexander Nelson United States
Jonathan Gips relative to Mathew Laibowitz United States Mathew Laibowitz's profile →
Citations per field
00.5×1.5×
Mathew Laibowitz · 1×
Citations per year

Countries citing papers authored by Jonathan Gips

Since Specialization
Citations

This map shows the geographic impact of Jonathan Gips'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 Jonathan Gips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Gips more than expected).

Fields of papers citing papers by Jonathan Gips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Gips. 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 Jonathan Gips. The network helps show where Jonathan Gips may publish in the future.

Co-authors

The 16 scholars most cited alongside Jonathan Gips, 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 Jonathan Gips Line = papers co-authored together Jonathan Gips links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004119
2 200641
3 200932
4 200528
5 200626
6 200415
7
Augmented Reality in a Simulated Tower Environment: Effect of Field of View on Aircraft Detection
20029
8 20068
9 20054
10 20064
11 20044
12 20061

About Jonathan Gips

Jonathan Gips is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Information Systems and Management, Computer Networks and Communications and Social Psychology, having authored 12 papers that have together received 291 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Complex Network Analysis Techniques (3 papers), Personal Information Management and User Behavior (3 papers), Mobile Learning in Education (2 papers), Data Visualization and Analytics (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Video Surveillance and Tracking Methods (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Human-Computer Interaction (62 citations), Computer Vision and Pattern Recognition (120 citations), Computer Science Applications (19 citations), Computer Networks and Communications (76 citations) and Transportation (20 citations). Jonathan Gips has collaborated with scholars based in United States. Frequent co-authors include Alex Pentland, Michael Sung, R.W. DeVaul, Alex Pentland, Mathew Laibowitz, Joseph A. Paradiso, David Merrill, Nathan Eagle, Pattie Maes and Anmol Madan. Their work appears in journals such as Journal of Computer Assisted Learning and Personal and Ubiquitous Computing.

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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