Pablo Speciale

940 citations
12 papers · 639 · 1 hit paper · h-index 10

Impact in

Papers in

Pablo Speciale

12 papers receiving 619 citations

Pablo Speciale's Hit Papers

PatchmatchNet: Learned Multi-View Patchmatch Stereo 2021 · 288 citations
2880+1+3Years since publication50100150200250

Peers

Pablo Speciale
Comparison fields: 5 of 51
  • Geology 212
  • Computer Vision and Pattern Recognition 494
  • Computer Graphics and Computer-Aided Design 74
  • Aerospace Engineering 256
  • Environmental Engineering 107
Replace Jan Knopp with:
Jan Knopp Belgium
Philipp Jenke Germany
Pierre Fite-Georgel United States
Olivier Saurer Switzerland
Shuaifeng Zhi China
S.W. Lee South Korea
Nianjuan Jiang Singapore
Songfang Han United States
Yannick Verdié Austria
Chuhang Zou United States
Pablo Speciale relative to Jan Knopp Belgium Jan Knopp's profile →
Citations per field
00.5×10×20×26.3×
Jan Knopp · 1×
Citations per year

Countries citing papers authored by Pablo Speciale

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Speciale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Pablo Speciale, 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 Pablo Speciale Line = papers co-authored together Pablo Speciale links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
PatchmatchNet: Learned Multi-View Patchmatch Stereo
Hit paper breakdown →
2021288
2 201474
3 201755
4 202251
5 201642
6 201628
7 202026
8 201925
9 201724
10 201713
11 20219
12 20184

About Pablo Speciale

Pablo Speciale is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Geology and Signal Processing, having authored 12 papers that have together received 639 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Vision and Imaging (4 papers), Advanced Neural Network Applications (3 papers), 3D Surveying and Cultural Heritage (3 papers), Image Enhancement Techniques (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Geology (212 citations), Computer Vision and Pattern Recognition (494 citations), Computer Graphics and Computer-Aided Design (74 citations), Aerospace Engineering (256 citations) and Environmental Engineering (107 citations). Pablo Speciale has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Marc Pollefeys, Silvano Galliani, Christoph Vogel, Fangjinhua Wang, Martin R. Oswald, Johannes L. Schönberger, Petri Tanskanen, Kalin D. Kolev, Andrea Cohen and Viktor Larsson. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Lecture notes in computer science and IEEE Conference Proceedings.

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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