M.S. Morse

24 papers receiving 272 citations

Peers

M.S. Morse
Comparison fields: 5 of 77
  • Human-Computer Interaction 46
  • Signal Processing 46
  • Radiological and Ultrasound Technology 14
  • General Materials Science 8
  • Statistics, Probability and Uncertainty 16
Replace Kaixin Liu with:
Kaixin Liu China
Yusuke Ikeda Japan
Grant Ellis Kazakhstan
James D. K. Kim South Korea
Hyunkook Lee United Kingdom
P. Desmares United States
M.P. Janawadkar India
Mark Parent United States
Xinshun Wang China
M. Schiek Germany
M.S. Morse relative to Kaixin Liu China Kaixin Liu's profile →
Citations per field
00.5×
Kaixin Liu · 1×
Citations per year

Countries citing papers authored by M.S. Morse

Since Specialization
Citations

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

Fields of papers citing papers by M.S. Morse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.S. Morse. 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 M.S. Morse. The network helps show where M.S. Morse may publish in the future.

Co-authors

The 16 scholars most cited alongside M.S. Morse, 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 M.S. Morse Line = papers co-authored together M.S. Morse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970131
2 198637
3 200325
4 200517
5 200416
6 201416
7 200514
8 201212
9 20024
10 20194
11 19864
12 20093
13 20053
14 20203
15 20132
16 19882
17 20022
18 20052
19 20042
20 20172

About M.S. Morse

M.S. Morse is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Ophthalmology, Signal Processing and Radiological and Ultrasound Technology, having authored 29 papers that have together received 307 indexed citations. Recurring topics across this work include Electrical Fault Detection and Protection (6 papers), Muscle activation and electromyography studies (6 papers), Speech and Audio Processing (4 papers), Occupational Health and Safety Research (3 papers), Ocular and Laser Science Research (3 papers), Hand Gesture Recognition Systems (3 papers), Injury Epidemiology and Prevention (3 papers) and Landslides and related hazards (3 papers). The work is most often cited by research in Human-Computer Interaction (46 citations), Signal Processing (46 citations), Radiological and Ultrasound Technology (14 citations), General Materials Science (8 citations) and Statistics, Probability and Uncertainty (16 citations). M.S. Morse has collaborated with scholars based in United States and France. Frequent co-authors include C.W. Beckett, A. Cezairliyan, Ning Lu, Matthew Wright, Jonathan W. Godt, Alexandra Wayllace, W. Andy Take, Jeffrey A. Coe, James G. Kohl and A. Revil. Their work appears in journals such as Journal of Geotechnical and Geoenvironmental Engineering, Computers in Biology and Medicine, IEEE Transactions on Biomedical Engineering, Journal of Psychosomatic Research and IEEE Transactions on Industry Applications.

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