Petr Gronát

2.4k citations
5 papers · 1.3k indexed · 1 hit paper · h-index 4
Topics
Advanced Image and Video Retrieval Techniques (4 papers)Robotics and Sensor-Based Localization (4 papers)Remote-Sensing Image Classification (3 papers)
Partner nations
FranceCzechiaJapan

In The Last Decade

Petr Gronát

5 papers receiving 1.3k citations

Hit Papers

NetVLAD: CNN architecture for weakly supervised place rec...201520262018202220152505007501000

Peers

Petr Gronát
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 1.1k
  • Aerospace Engineering 738
  • Artificial Intelligence 207
  • Electrical and Electronic Engineering 177
  • Geology 118
Replace Cédric Demonceaux with:
Cédric Demonceaux France
Michael Calonder Switzerland
Wen-Yan Lin Singapore
Michela Farenzena Italy
Yufeng Yue China
Manuel Werlberger Austria
Muhamad Risqi U. Saputra United Kingdom
Sareh Shirazi Australia
Henning Lategahn Germany
Enrique Dunn United States
Petr Gronát relative to Cédric Demonceaux France Cédric Demonceaux's profile →
Citations per field
00.5×2.7×
Cédric Demonceaux · 1×
Citations per year

Countries citing papers authored by Petr Gronát

Since Specialization
Citations

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

Fields of papers citing papers by Petr Gronát

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Gronát

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 7
2 8
3 180
4
NetVLAD: CNN architecture for weakly supervised place recognitionbreakdown →
1136
5
Learning and Calibrating Per Location Classifiers for Visual Place Recognition (Open Access)
1

About Petr Gronát

Petr Gronát is a scholar working on Media Technology, Software and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Aerospace Engineering (738 citations) and Geology (118 citations). Petr Gronát has collaborated with scholars based in France, Czechia and Japan. Frequent co-authors include Tomáš Pajdla, Josef Šivic, Relja Arandjelović, Akihiko Torii and Guillaume Obozinski. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and arXiv (Cornell University).

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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