Juan Terven

3.2k citations
35 papers · 1.5k indexed · 2 hit papers · h-index 11

Juan Terven

33 papers receiving 1.4k citations

Hit Papers

A comprehensive survey of l...2820232026202420252505007501000

Peers

Juan Terven
Comparison fields: 5 of 154
  • Computer Vision and Pattern Recognition 564
  • Human-Computer Interaction 124
  • Industrial and Manufacturing Engineering 168
  • Media Technology 99
  • Health Informatics 14
Replace Diana‐Margarita Córdova‐Esparza with:
Diana‐Margarita Córdova‐Esparza Mexico
Julio-Alejandro Romero-González Mexico
L. Minh Dang South Korea
Stefano Ghidoni Italy
Matthew N. Dailey Thailand
Zhiqiang Tian China
Nadia Kanwal United Kingdom
Bo Ma China
Ying Cai China
Muhammad Hussain United Kingdom
Juan Terven relative to Diana‐Margarita Córdova‐Esparza Mexico Diana‐Margarita Córdova‐Esparza's profile →
Citations per field
00.5×1.5×1.8×
Diana‐Margarita Córdova‐Esparza · 1×
Citations per year

Countries citing papers authored by Juan Terven

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 19 scholars most cited alongside Juan Terven, 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 Juan Terven Line = papers co-authored together Juan Terven links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20254
3 20258
4 20251
5 20240
6 20245
7 20244
8 20241
9 202411
10 20248
11 20241
12
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NASbreakdown →
20231148
13 20234
14 201819
15 201639
16 201620
17 20167
18 20162
19 20152
20 201516

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), Robotics and Sensor-Based Localization (5 papers), Gaze Tracking and Assistive Technology (4 papers), Advanced Neural Network Applications (4 papers), Optical measurement and interference techniques (4 papers), Tactile and Sensory Interactions (4 papers) and Smart Agriculture and AI (3 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.

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