Mark Hanson

51 papers receiving 1.3k citations

Mark Hanson's Hit Papers

Body Area Sensor Networks: Challenges and Opportunities 2009 · 392 citations
3920+5+11Years since publication100200300

Peers

Mark Hanson
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 508
  • Physical Therapy, Sports Therapy and Rehabilitation 95
  • Computer Networks and Communications 382
  • Biomedical Engineering 716
  • Psychiatry and Mental health 112
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Countries citing papers authored by Mark Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009402
2
Body Area Sensor Networks: Challenges and Opportunities
Hit paper breakdown →
2009392
3 200977
4 202051
5 201547
6 202143
7 200439
8 201833
9 200923
10 201722
11 201621
12 201120
13 200820
14 200817
15 201715
16 202112
17 202212
18 202310
19 201810
20 20169

About Mark Hanson

Mark Hanson is a scholar working on Biomedical Engineering, Computer Networks and Communications, Economics and Econometrics, General Health Professions and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Wireless Body Area Networks (7 papers), Energy Efficient Wireless Sensor Networks (5 papers), Context-Aware Activity Recognition Systems (5 papers), Molecular Communication and Nanonetworks (5 papers), Housing Market and Economics (4 papers), Dementia and Cognitive Impairment Research (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (508 citations), Physical Therapy, Sports Therapy and Rehabilitation (95 citations), Computer Networks and Communications (382 citations), Biomedical Engineering (716 citations) and Psychiatry and Mental health (112 citations). Mark Hanson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Adam T. Barth, John Lach, Harry Powell, John A. Stankovic, Gang Zhou, Qiang Li, Benton H. Calhoun, J.H. Aylor, Soeren Mattke and Doug Lobner. Their work appears in journals such as Alzheimer s & Dementia, Journal of Alzheimer s Disease, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Journal of Clinical Sleep Medicine and The Journal of Prevention of Alzheimer s Disease.

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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