Michael Lawo

53 papers receiving 693 citations

Peers

Michael Lawo
Comparison fields: 5 of 102
  • Human-Computer Interaction 116
  • Physical Therapy, Sports Therapy and Rehabilitation 73
  • Rehabilitation 55
  • Computer Vision and Pattern Recognition 139
  • Computational Mathematics 4
Replace Arthur Tay with:
Arthur Tay Singapore
Saeed Behzadipour Iran
Grazia Cicirelli Italy
Adriano A. G. Siqueira Brazil
Ehsan T. Esfahani United States
Costas S. Tzafestas Greece
Uriel Martínez-Hernández United Kingdom
Wenlong Zhang United States
Alpha Agape Gopalai Malaysia
Sašo Tomažič Slovenia
Michael Lawo relative to Arthur Tay Singapore Arthur Tay's profile →
Citations per field
00.5×6.1×
Arthur Tay · 1×
Citations per year

Countries citing papers authored by Michael Lawo

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lawo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982116
2 201595
3 201766
4 200757
5 201056
6 198550
7 201343
8 201239
9 201929
10 200910
11 20199
12 20068
13 20168
14 20168
15
Wearable Computing - an Approach for Living Labs
20068
16 20227
17 20077
18 20107
19 20087
20 20106

About Michael Lawo

Michael Lawo is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 55 papers that have together received 736 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (21 papers), IoT and Edge/Fog Computing (5 papers), Green IT and Sustainability (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Tactile and Sensory Interactions (4 papers), Innovative Approaches in Technology and Social Development (4 papers), Mobile Health and mHealth Applications (3 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Human-Computer Interaction (116 citations), Physical Therapy, Sports Therapy and Rehabilitation (73 citations), Rehabilitation (55 citations), Computer Vision and Pattern Recognition (139 citations) and Computational Mathematics (4 citations). Michael Lawo has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Ikuyo Kaneko, G. Thierauf, Otthein Herzog, Paul Lukowicz, Rita Bertoni, Angelo Montesano, Thomas Bowman, Johanna Jonsdottir, Andreas Timm‐Giel and Thad Starner. Their work appears in journals such as Multiple Sclerosis and Related Disorders, IEEE Pervasive Computing, Pervasive and Mobile Computing, ACS Central Science and International Journal for Numerical Methods in Engineering.

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.

Explore authors with similar magnitude of impact