Enrique Alegre

95 papers receiving 1.9k citations

Hit Papers

Assessment and Estimation of Face Detection Performance B...2020202620222024202050100150200

Peers

Enrique Alegre
Comparison fields: 5 of 160
  • Artificial Intelligence 597
  • Mechanical Engineering 471
  • Computer Vision and Pattern Recognition 446
  • Information Systems 360
  • Industrial and Manufacturing Engineering 325
Replace Rocío Aláiz-Rodríguez with:
Rocío Aláiz-Rodríguez Spain
George Azzopardi Netherlands
Gang Chen China
Chandrika Kamath United States
Soumya Ranjan Nayak India
Jeremy Straub United States
Xiaofei He China
Abeer D. Algarni Saudi Arabia
Enrique Alegre relative to Rocío Aláiz-Rodríguez Spain Rocío Aláiz-Rodríguez's profile →
Citations per field
00.5×2.8×
Rocío Aláiz-Rodríguez · 1×
Citations per year

Countries citing papers authored by Enrique Alegre

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Alegre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enrique Alegre. 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 Enrique Alegre. The network helps show where Enrique Alegre may publish in the future.

Co-authorship network of co-authors of Enrique Alegre

This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Alegre. A scholar is included among the top collaborators of Enrique Alegre 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 Enrique Alegre. Enrique Alegre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 14
6 9
7 4
8 12
9 10
10 27
11 53
12 1
13 9
14 6
15
Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applicationsbreakdown →
241
16 4
17 6
18 11
19
Comparison of supervised and unsupervised methods to classify boar acrosomes using texture descriptors
4
20 16

About Enrique Alegre

Enrique Alegre is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Signal Processing, having authored 100 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Industrial Vision Systems and Defect Detection (14 papers) and Spam and Phishing Detection (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (325 citations), Computer Vision and Pattern Recognition (446 citations) and Signal Processing (215 citations). Enrique Alegre has collaborated with scholars based in Spain, Colombia and Netherlands. Frequent co-authors include Eduardo Fidalgo, V́ıctor González-Castro, Rocío Aláiz-Rodríguez, Laura Fernández-Robles, J. Barreiro, George Azzopardi, Francisco Jáñez-Martino, Manuel Castejón‐Limas, Deisy Chaves and María Teresa Garcí­a-Ordás. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

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

Rankless by CCL
2026