Sue Long

2.0k citations
8 papers · 1.7k · 1 hit paper · h-index 7

Impact in

Papers in

Sue Long

8 papers receiving 1.4k citations

Sue Long's Hit Papers

Cyberguide: A mobile context‐aware tour guide 1997 · 1.1k citations
1.1k0+9+19Years since publication2505007501000

Peers

Sue Long
Comparison fields: 5 of 82
  • Human-Computer Interaction 399
  • Computer Vision and Pattern Recognition 1.1k
  • Transportation 204
  • Computer Networks and Communications 536
  • Signal Processing 215
Replace Mike Pinkerton with:
Mike Pinkerton United States
Christos Efstratiou United Kingdom
Timothy Sohn United States
Uwe Hansmann Germany
Pauline S. Powledge United States
Martin S. Nicklous Germany
Lothar Merk Germany
Rich Gold United States
Kurt Partridge United States
Clemens Holzmann Austria
Sue Long relative to Mike Pinkerton United States Mike Pinkerton's profile →
Citations per field
00.5×2×3×
Mike Pinkerton · 1×
Citations per year

Countries citing papers authored by Sue Long

Since Specialization
Citations

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

Fields of papers citing papers by Sue Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Cyberguide: A mobile context‐aware tour guide
Hit paper breakdown →
19971100
2 1996242
3 1996173
4 199684
5 200723
6 200821
7 19977
8 20202

About Sue Long

Sue Long is a scholar working on Human-Computer Interaction, Rehabilitation, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Physiology, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Interactive and Immersive Displays (2 papers), Bluetooth and Wireless Communication Technologies (2 papers), Physical Activity and Health (2 papers), Cardiac Health and Mental Health (2 papers), Stroke Rehabilitation and Recovery (2 papers), Mobile Learning in Education (1 paper) and Educational Tools and Methods (1 paper). The work is most often cited by research in Human-Computer Interaction (399 citations), Computer Vision and Pattern Recognition (1.1k citations), Transportation (204 citations), Computer Networks and Communications (536 citations) and Signal Processing (215 citations). Sue Long has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Gregory D. Abowd, Rob Kooper, Christopher G. Atkeson, Jason Hong, Mike Pinkerton, Cindy E. Hmelo, Nitin Sawhney, Chris Atkeson, John Unsworth and Ann Crosland. Their work appears in journals such as Wireless Networks, The American Surgeon, British Journal of Community Nursing, International Journal of Therapy and Rehabilitation and Nursing Children and Young People.

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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