Edgar Simo‐Serra

6.1k citations
54 papers · 3.0k indexed · 2 hit papers · h-index 19

Edgar Simo‐Serra

51 papers receiving 2.9k citations

Hit Papers

Globally and locally consistent image completion1.3k20162026201920224008001.2k

Peers

Edgar Simo‐Serra
Comparison fields: 5 of 123
  • Computer Vision and Pattern Recognition 2.6k
  • Computer Graphics and Computer-Aided Design 443
  • Media Technology 262
  • Geology 101
  • Computational Mechanics 308
Replace Sean Bell with:
Sean Bell United States
Varun Jampani United States
Leon A. Gatys Germany
Yael Pritch United States
Xiaowu Chen China
Oliver Wang United States
Lvmin Zhang Hong Kong
Dong Chen China
Natasha Gelfand United States
Edgar Simo‐Serra relative to Sean Bell United States Sean Bell's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Edgar Simo‐Serra

Since Specialization
Citations

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

Fields of papers citing papers by Edgar Simo‐Serra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edgar Simo‐Serra. 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 Simo‐Serra. The network helps show where Edgar Simo‐Serra may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Edgar Simo‐Serra, 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 Edgar Simo‐Serra Line = papers co-authored together Edgar Simo‐Serra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20231
4 20231
5 20235
6 202135
7 202136
8 202115
9 202013
10 20207
11 20195
12 20193
13 201811
14 201739
15 201741
16
Globally and locally consistent image completionbreakdown →
20171337
17 20168
18 2015132
19 201524
20 20112

About Edgar Simo‐Serra

Edgar Simo‐Serra is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Geology, Computational Mechanics and Media Technology, having authored 54 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (18 papers), Generative Adversarial Networks and Image Synthesis (16 papers), Advanced Vision and Imaging (13 papers), 3D Shape Modeling and Analysis (10 papers), Human Pose and Action Recognition (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Computer Graphics and Computer-Aided Design (443 citations), Media Technology (262 citations), Geology (101 citations) and Computational Mechanics (308 citations). Edgar Simo‐Serra has collaborated with scholars based in Japan, Spain and China. Frequent co-authors include Hiroshi Ishikawa, Satoshi Iizuka, Satoshi Iizuka, Francesc Moreno-Noguer, Carme Torras, Sanja Fidler, Raquel Urtasun, Naoto Inoue, Ariadna Quattoni and Arnau Ramisa. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, International Journal of Computer Vision, The Visual Computer and Mechanism and Machine Theory.

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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