Juan Terven
- Computer Vision and Pattern Recognition top 2%
- Plant Science top 10%
- Aerospace Engineering top 10%
- Industrial and Manufacturing Engineering top 2%
- Biomedical Engineering
- Co-authors
- Diana‐Margarita Córdova‐EsparzaJulio-Alejandro Romero-GonzálezJoaquín SalasBogdan RaducanuAna M. Herrera-NavarroHugo Jiménez‐HernándezEdgar Arturo Chávez‐UrbiolaMa. Teresa García Ramírez
- Topics
- Hand Gesture Recognition Systems (6 papers)Advanced Vision and Imaging (5 papers)Robotics and Sensor-Based Localization (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaComputerNeurocomputing
- Partner nations
- MexicoUnited StatesSpain
In The Last Decade
Juan Terven
33 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 564
- Plant Science 190
- Aerospace Engineering 182
- Industrial and Manufacturing Engineering 168
- Biomedical Engineering 150
Countries citing papers authored by Juan Terven
This map shows the geographic impact of Juan Terven'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 Juan Terven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Terven more than expected).
Fields of papers citing papers by Juan Terven
This network shows the impact of papers produced by Juan Terven. 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 Juan Terven. The network helps show where Juan Terven may publish in the future.
Co-authorship network of co-authors of Juan Terven
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Terven. A scholar is included among the top collaborators of Juan Terven based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juan Terven. Juan Terven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NASbreakdown → | 1148 |
| 13 | 4 | |
| 14 | 19 | |
| 15 | 39 | |
| 16 | 20 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 16 |
About Juan Terven
Juan Terven is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Health Informatics, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (6 papers), Advanced Vision and Imaging (5 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (564 citations), Human-Computer Interaction (124 citations) and Industrial and Manufacturing Engineering (168 citations). Juan Terven has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Diana‐Margarita Córdova‐Esparza, Julio-Alejandro Romero-González, Joaquín Salas, Bogdan Raducanu, Ana M. Herrera-Navarro, Hugo Jiménez‐Hernández, Edgar Arturo Chávez‐Urbiola, Bogdan Raducanu, Ma. Teresa García Ramírez and José‐Joel González‐Barbosa. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer and Neurocomputing.
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.