Meredith Ringel

894 citations
9 papers · 578 · h-index 7

Impact in

Papers in

Meredith Ringel

9 papers receiving 505 citations

Peers

Meredith Ringel
Comparison fields: 5 of 48
  • Human-Computer Interaction 474
  • Information Systems and Management 128
  • Computer Vision and Pattern Recognition 272
  • Cognitive Neuroscience 184
  • Computer Graphics and Computer-Aided Design 9
Replace Jörg Geißler with:
Jörg Geißler United States
Christian Müller-Tomfelde Australia
Torsten Holmer Germany
William C. Janssen United States
Edward Tse Canada
Mikkel R. Jakobsen Denmark
Peter Tandler Germany
Richard Bruce United States
C. Schmandt United States
Beth Yost United States
Meredith Ringel relative to Jörg Geißler United States Jörg Geißler's profile →
Citations per field
00.5×1.7×
Jörg Geißler · 1×
Citations per year

Countries citing papers authored by Meredith Ringel

Since Specialization
Citations

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

Fields of papers citing papers by Meredith Ringel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Meredith Ringel, 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 Meredith Ringel Line = papers co-authored together Meredith Ringel links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2004221
2 2003131
3
Milestones in Time: The Value of Landmarks in Retrieving Information from Personal Stores.
200393
4 200446
5 200132
6 200229
7 200321
8 20033
9
iStuff : a scalable architecture for lightweight, wireless devices for Ubicomp user interfaces
20022

About Meredith Ringel

Meredith Ringel is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Information Systems and Management, Mechanical Engineering and Cognitive Neuroscience, having authored 9 papers that have together received 578 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (7 papers), Personal Information Management and User Behavior (4 papers), Usability and User Interface Design (3 papers), Context-Aware Activity Recognition Systems (3 papers), Teleoperation and Haptic Systems (1 paper), Modular Robots and Swarm Intelligence (1 paper), Virtual Reality Applications and Impacts (1 paper) and Innovative Human-Technology Interaction (1 paper). The work is most often cited by research in Human-Computer Interaction (474 citations), Information Systems and Management (128 citations), Computer Vision and Pattern Recognition (272 citations), Cognitive Neuroscience (184 citations) and Computer Graphics and Computer-Aided Design (9 citations). Meredith Ringel has collaborated with scholars based in United States and France. Frequent co-authors include Frédéric Vernier, Chia Shen, Clifton Forlines, Jan Borchers, Rafael Ballagas, Maureen Stone, Susan Dumais, Eric Horvitz, Edward Cutrell and Kathy Ryall. Their work appears in journals such as IEEE Wireless Communications, RWTH Publications (RWTH Aachen) and International Conference on Human-Computer Interaction.

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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