Diego Méndez
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
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- Mobile Crowdsensing and Crowdsourcing 5
- Co-authors
- Miguel A. LabradorJulian D. ColoradoHenry CarrilloJuan ArandaCarlos ParraAlfredo J. PérezIdalides Vergara-LaurensManuel Pérez
- Journals
- IEEE Access (2 papers)Journal of Sensor and Actuator Networks (2 papers)Sensors (2 papers)Pervasive and Mobile Computing (2 papers)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- ColombiaGermanyUnited States
In The Last Decade
Diego Méndez
59 papers receiving 653 citations
Peers
Comparison fields: 5 of 94
- Computer Science Applications 169
- Transportation 67
- Computer Networks and Communications 216
- Ocean Engineering 79
- Environmental Engineering 64
Countries citing papers authored by Diego Méndez
This map shows the geographic impact of Diego Méndez'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 Diego Méndez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Méndez more than expected).
Fields of papers citing papers by Diego Méndez
This network shows the impact of papers produced by Diego Méndez. 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 Diego Méndez. The network helps show where Diego Méndez may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Méndez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2020 | 19 | |
| 14 | 2019 | 19 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 7 | |
| 17 | 2017 | 60 | |
| 18 | 2017 | 40 | |
| 19 | Comparison of model predictive control techniques for active suspension | 2015 | 2 |
| 20 | HACIA LA MOTIVACIÓN DE LOS FUTUROS INGENIEROS MEDIANTE EL USO ADECUADO DE LA TECNOLOGÍA EN EL AULA ESCOLAR | 2015 | 1 |
About Diego Méndez
Diego Méndez is a scholar working on Life-span and Life-course Studies, Computer Science Applications, Computer Networks and Communications, Environmental Engineering and Electrical and Electronic Engineering, having authored 64 papers that have together received 689 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (17 papers), Indoor and Outdoor Localization Technologies (12 papers), Energy Harvesting in Wireless Networks (10 papers), IoT and Edge/Fog Computing (9 papers), Smart Agriculture and AI (6 papers), Water Quality Monitoring Technologies (6 papers), Wireless Body Area Networks (5 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Computer Science Applications (169 citations), Transportation (67 citations), Computer Networks and Communications (216 citations), Ocean Engineering (79 citations) and Environmental Engineering (64 citations). Diego Méndez has collaborated with scholars based in Colombia, Germany and United States. Frequent co-authors include Miguel A. Labrador, Julian D. Colorado, Henry Carrillo, Juan Aranda, Carlos Parra, Alfredo J. Pérez, Idalides Vergara-Laurens, Manuel Pérez, K. K. Ramachandran and Iván F. Mondragón. Their work appears in journals such as IEEE Access, Journal of Sensor and Actuator Networks, Sensors, Pervasive and Mobile Computing and Computers and Electronics in Agriculture.
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.