Gabriel Takacs

2.0k citations
34 papers · 1.5k indexed · h-index 18
Topics
Advanced Image and Video Retrieval Techniques (33 papers)Image Retrieval and Classification Techniques (22 papers)Robotics and Sensor-Based Localization (19 papers)

In The Last Decade

Gabriel Takacs

34 papers receiving 1.4k citations

Peers

Gabriel Takacs
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 1.4k
  • Aerospace Engineering 670
  • Electrical and Electronic Engineering 104
  • Artificial Intelligence 98
  • Media Technology 94
Replace Takeshi Ikenaga with:
Takeshi Ikenaga Japan
K. Rangarajan India
Zeqi Lai China
Haoran Liang China
Justin Manweiler United States
Seunghun Jin South Korea
Gabriel Bender United States
Vasif V. Nabiyev Türkiye
Chi‐Chia Sun Taiwan
Gabriel Takacs relative to Takeshi Ikenaga Japan Takeshi Ikenaga's profile →
Citations per field
00.5×7.6×
Takeshi Ikenaga · 1×
Citations per year

Countries citing papers authored by Gabriel Takacs

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Takacs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Takacs

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Takacs. A scholar is included among the top collaborators of Gabriel Takacs 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 Gabriel Takacs. Gabriel Takacs 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 46
2 4
3 15
4 28
5 17
6 94
7 217
8 43
9 18
10 21
11
Location coding for mobile image retrieval
2
12 10
13
Low-Rate Image Retrieval with Tree Histogram Coding
1
14 87
15 47
16 186
17 78
18 4
19 17
20 1

About Gabriel Takacs

Gabriel Takacs is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (33 papers), Image Retrieval and Classification Techniques (22 papers) and Robotics and Sensor-Based Localization (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Aerospace Engineering (670 citations) and Media Technology (94 citations). Gabriel Takacs has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Bernd Girod, Vijay Chandrasekhar, Sam S. Tsai, Radek Grzeszczuk, David Chen, Ramakrishna Vedantham, Yuriy A. Reznik, David M. Chen, Ngai‐Man Cheung and Jatinder Singh. Their work appears in journals such as International Journal of Computer Vision, IEEE Signal Processing Magazine and Signal Processing.

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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