Michael Lawo

74 papers receiving 881 citations

Peers

Michael Lawo
Comparison fields: 5 of 110
  • Human-Computer Interaction 150
  • Physical Therapy, Sports Therapy and Rehabilitation 77
  • Rehabilitation 60
  • Computer Vision and Pattern Recognition 189
  • Industrial and Manufacturing Engineering 75
Replace Pedro Miguel Moreira with:
Pedro Miguel Moreira Portugal
Venkat Krovi United States
Lorenzo Molinari Tosatti Italy
Georg Bretthauer Germany
Grazia Cicirelli Italy
Sašo Tomažič Slovenia
Anton Kos Slovenia
Costas S. Tzafestas Greece
Paulo J. Menezes Portugal
Arthur E. Tay Singapore
Michael Lawo relative to Pedro Miguel Moreira Portugal Pedro Miguel Moreira's profile →
Citations per field
00.5×1.5×2×2.4×
Pedro Miguel Moreira · 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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982123
2 2015103
3 201774
4 200764
5 201059
6 198550
7 201349
8 201240
9 201534
10 201933
11 201615
12 200913
13 201611
14 20069
15
Wearable Computing – an Approach for Living Labs
20089
16 20089
17 20199
18 20078
19 20108
20 20118

About Michael Lawo

Michael Lawo is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Management of Technology and Innovation, Cognitive Neuroscience and Industrial and Manufacturing Engineering, having authored 78 papers that have together received 929 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (23 papers), Usability and User Interface Design (6 papers), Innovative Approaches in Technology and Social Development (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Technology Use by Older Adults (5 papers), Interactive and Immersive Displays (5 papers), Green IT and Sustainability (5 papers) and Augmented Reality Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (150 citations), Physical Therapy, Sports Therapy and Rehabilitation (77 citations), Rehabilitation (60 citations), Computer Vision and Pattern Recognition (189 citations) and Industrial and Manufacturing Engineering (75 citations). Michael Lawo has collaborated with scholars based in Germany, Italy and China. Frequent co-authors include Ikuyo Kaneko, GEORG THIERAUF, Otthein Herzog, Paul Lukowicz, Johanna Jonsdottir, Angelo Montesano, Rita Bertoni, Thomas G. Bowman, Andreas Timm‐Giel and Thad E. Starner. Their work appears in journals such as Multiple Sclerosis and Related Disorders, IEEE Pervasive Computing, International Journal for Numerical Methods in Engineering, Sensors and Pervasive and Mobile Computing.

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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