Sergio Damas

2.4k citations
88 papers · 1.6k indexed · h-index 25
Topics
Forensic Anthropology and Bioarchaeology Studies (23 papers)Robotics and Sensor-Based Localization (21 papers)Manufacturing Process and Optimization (16 papers)
Partner nations
SpainAustraliaJapan

In The Last Decade

Sergio Damas

86 papers receiving 1.5k citations

Peers

Sergio Damas
Comparison fields: 5 of 123
  • Computer Vision and Pattern Recognition 653
  • Industrial and Manufacturing Engineering 354
  • Artificial Intelligence 320
  • Archeology 300
  • Aerospace Engineering 254
Replace Wei‐Lun Chao with:
Wei‐Lun Chao United States
Shohreh Kasaei Iran
Wei Zou China
Yun Tian China
Ioannis Pratikakis Greece
Wang Hu China
Chao Tong China
Mohd Shafry Mohd Rahim Malaysia
Gaoang Wang China
Kuo‐Chin Fan Taiwan
Sergio Damas relative to Wei‐Lun Chao United States Wei‐Lun Chao's profile →
Citations per field
00.5×10×20×27.3×
Wei‐Lun Chao · 1×
Citations per year

Countries citing papers authored by Sergio Damas

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Damas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Damas

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Damas. A scholar is included among the top collaborators of Sergio Damas 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 Sergio Damas. Sergio Damas 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 4
5
16
6 10
7 4
8 8
9 23
10 39
11 29
12 22
13 43
14 16
15 26
16
A new approach to fuzzy location of cephalometric landmarks in craniofacial superimposition
5
17 6
18 33
19
Structural Object Matching
12
20
[Cutaneous lesions of bilharziosis. Report of fourteen cases (author's transl)].
2

About Sergio Damas

Sergio Damas is a scholar working on Archeology, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (23 papers), Robotics and Sensor-Based Localization (21 papers) and Manufacturing Process and Optimization (16 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (354 citations), Computer Vision and Pattern Recognition (653 citations) and Archeology (300 citations). Sergio Damas has collaborated with scholars based in Spain, Australia and Japan. Frequent co-authors include Óscar Cordón, José Santamaría, Manuel Chica, Joaquín Bautista Valhondo, Óscar Ibáñez, Andrea Valsecchi, Inmaculada Alemán Aguilera, Enrique Bermejo, Miguel Cecilio Botella López and Linda Marrakchi‐Kacem. Their work appears in journals such as Expert Systems with Applications, ACM Computing Surveys and International Journal of Production Economics.

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