Mercè Teixidó
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
-
- Robotic Path Planning Algorithms 7
- Co-authors
- Jordi Palacín (36 shared papers)Marcel Tresánchez (36 shared papers)Tomàs Pallejà (33 shared papers)Davinia Font (19 shared papers)Dani Martínez (11 shared papers)Javier Moreno–Valenzuela (9 shared papers)M. Nogués (3 shared papers)Rosa Gil (13 shared papers)
- Journals
- Sensors (11 papers)Applied Sciences (3 papers)Computers and Electronics in Agriculture (2 papers)Sensors and Actuators A Physical (2 papers)Heliyon (2 papers)
- Partner nations
- SpainItalyCosta Rica
In The Last Decade
Mercè Teixidó
60 papers receiving 834 citations
Peers
Comparison fields: 5 of 130
- Human-Computer Interaction 96
- Physical Therapy, Sports Therapy and Rehabilitation 34
- Computer Vision and Pattern Recognition 169
- Analytical Chemistry 67
- Environmental Engineering 83
Countries citing papers authored by Mercè Teixidó
This map shows the geographic impact of Mercè Teixidó'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 Mercè Teixidó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercè Teixidó more than expected).
Fields of papers citing papers by Mercè Teixidó
This network shows the impact of papers produced by Mercè Teixidó. 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 Mercè Teixidó. The network helps show where Mercè Teixidó may publish in the future.
Co-authors
The 25 scholars most cited alongside Mercè Teixidó, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 87 | |
| 2 | 2010 | 60 | |
| 3 | 2009 | 52 | |
| 4 | 2009 | 49 | |
| 5 | 2012 | 47 | |
| 6 | 2014 | 47 | |
| 7 | 2010 | 34 | |
| 8 | 2009 | 33 | |
| 9 | 2009 | 31 | |
| 10 | 2018 | 28 | |
| 11 | 2023 | 26 | |
| 12 | 2008 | 26 | |
| 13 | 2013 | 24 | |
| 14 | 2009 | 23 | |
| 15 | 2014 | 21 | |
| 16 | 2011 | 21 | |
| 17 | 2012 | 20 | |
| 18 | 2011 | 17 | |
| 19 | 2011 | 16 | |
| 20 | 2014 | 16 |
About Mercè Teixidó
Mercè Teixidó is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Information Systems, Biomedical Engineering and Aerospace Engineering, having authored 64 papers that have together received 864 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Gaze Tracking and Assistive Technology (6 papers), Blockchain Technology Applications and Security (5 papers), Robotics and Sensor-Based Localization (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Insect Pheromone Research and Control (4 papers), FinTech, Crowdfunding, Digital Finance (4 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Human-Computer Interaction (96 citations), Physical Therapy, Sports Therapy and Rehabilitation (34 citations), Computer Vision and Pattern Recognition (169 citations), Analytical Chemistry (67 citations) and Environmental Engineering (83 citations). Mercè Teixidó has collaborated with scholars based in Spain, Italy and Costa Rica. Frequent co-authors include Jordi Palacín, Marcel Tresánchez, Tomàs Pallejà, Davinia Font, Dani Martínez, Javier Moreno–Valenzuela, M. Nogués, Rosa Gil, Joan R. Rosell-Polo and Ricardo Sanz. Their work appears in journals such as Sensors, Applied Sciences, Computers and Electronics in Agriculture, Sensors and Actuators A Physical and Heliyon.
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.