Ron Baecker

61 papers receiving 1.7k citations

Ron Baecker's Hit Papers

Can Digital Technology Enhance Social Connectedness Among Older Adults? A Feasibility Study 2017 · 274 citations
2740+3+6Years since publication50100150200250

Peers

Ron Baecker
Comparison fields: 5 of 105
  • Human-Computer Interaction 447
  • Neuropsychology and Physiological Psychology 95
  • Computer Science Applications 223
  • Information Systems and Management 261
  • Demography 311
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Robert L. Mack United States
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Countries citing papers authored by Ron Baecker

Since Specialization
Citations

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

Fields of papers citing papers by Ron Baecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ron Baecker, 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 Ron Baecker Line = papers co-authored together Ron Baecker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Can Digital Technology Enhance Social Connectedness Among Older Adults? A Feasibility Study
Hit paper breakdown →
2017274
2 1998253
3 1992157
4 201781
5 199278
6 200971
7 199770
8 199260
9 200554
10
Human-computer interaction: a multidisciplinary approach
198749
11 200448
12 197546
13 197539
14
A principled design for scalable internet visual communications with rich media, interactivity, and structured archives
200338
15 200036
16 200536
17 200734
18 198631
19
Reinventing the Lecture: Webcasting Made Interactive 1
200326
20 200224

About Ron Baecker

Ron Baecker is a scholar working on Information Systems, Sociology and Political Science, Demography, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Technology Use by Older Adults (11 papers), Multimedia Communication and Technology (8 papers), Usability and User Interface Design (8 papers), Software Engineering Research (6 papers), Speech and dialogue systems (5 papers), Music and Audio Processing (5 papers), Video Analysis and Summarization (5 papers) and Assistive Technology in Communication and Mobility (5 papers). The work is most often cited by research in Human-Computer Interaction (447 citations), Neuropsychology and Physiological Psychology (95 citations), Computer Science Applications (223 citations), Information Systems and Management (261 citations) and Demography (311 citations). Ron Baecker has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include David Abrams, Mark Chignell, Bárbara Barbosa Neves, Rachel L. Franz, Rebecca A. Judges, Cosmin Munteanu, Aaron Marcus, Ilona Posner, William Buxton and Brian Richards. Their work appears in journals such as Computer Music Journal, Combinatorial Chemistry & High Throughput Screening, Human-Computer Interaction, Journal of Applied Gerontology and Journal of Mixed Methods Research.

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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