Edgar Arce-Santana

31 papers receiving 273 citations

Peers

Edgar Arce-Santana
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 111
  • Electrical and Electronic Engineering 90
  • Radiology, Nuclear Medicine and Imaging 41
  • Control and Systems Engineering 40
  • Media Technology 31
Replace Margarita-Arimatea Díaz-Cortés with:
Margarita-Arimatea Díaz-Cortés Mexico
Murat H. Sazlı Türkiye
S. N. Kumar India
S. A. Bibikov Russia
Shanthi Prince India
Delphine Nain United States
Tessamma Thomas India
Chuan Lin China
Jundong Liu United States
Edgar Arce-Santana relative to Margarita-Arimatea Díaz-Cortés Mexico Margarita-Arimatea Díaz-Cortés's profile →
Citations per field
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Margarita-Arimatea Díaz-Cortés · 1×
Citations per year

Countries citing papers authored by Edgar Arce-Santana

Since Specialization
Citations

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

Fields of papers citing papers by Edgar Arce-Santana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edgar Arce-Santana. 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 Edgar Arce-Santana. The network helps show where Edgar Arce-Santana may publish in the future.

Co-authorship network of co-authors of Edgar Arce-Santana

This figure shows the co-authorship network connecting the top 25 collaborators of Edgar Arce-Santana. A scholar is included among the top collaborators of Edgar Arce-Santana 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 Edgar Arce-Santana. Edgar Arce-Santana 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 5
3 1
4 4
5 13
6 3
7 6
8 4
9 44
10 1
11 5
12
Non-rigid Multimodal Medical Image Registration Based on Local Variability
0
13 12
14 3
15 2
16 1
17 2
18 5
19 5
20 1

About Edgar Arce-Santana

Edgar Arce-Santana is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 287 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Robotics and Sensor-Based Localization (5 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (111 citations), Biophysics (27 citations) and Media Technology (31 citations). Edgar Arce-Santana has collaborated with scholars based in Mexico, Italy and United States. Frequent co-authors include Daniel U. Campos‐Delgado, Alfonso Alba, D.R. Espinoza-Trejo, Martín O. Méndez, Javier A. Jo, Anna Maria Bianchi, Giovanna Rizzo, Elisa Scalco, Juha Kortelainen and Sari‐Leena Himanen. Their work appears in journals such as Optics Express, IEEE Transactions on Biomedical Engineering and Pattern Recognition.

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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