Konstantinos Slavakis

2.5k total citations
88 papers, 1.6k citations indexed

About

Konstantinos Slavakis is a scholar working on Computational Mechanics, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Konstantinos Slavakis has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computational Mechanics, 25 papers in Signal Processing and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Konstantinos Slavakis's work include Advanced Adaptive Filtering Techniques (41 papers), Sparse and Compressive Sensing Techniques (31 papers) and Image and Signal Denoising Methods (15 papers). Konstantinos Slavakis is often cited by papers focused on Advanced Adaptive Filtering Techniques (41 papers), Sparse and Compressive Sensing Techniques (31 papers) and Image and Signal Denoising Methods (15 papers). Konstantinos Slavakis collaborates with scholars based in Greece, United States and Japan. Konstantinos Slavakis's co-authors include Sergios Theodoridis, Isao Yamada, Georgios B. Giannakis, Symeon Chouvardas, Yannis Kopsinis, Gonzalo Mateos, Pantelis Bouboulis, Masahiro Yukawa, Nobuhiko Ogura and Isao Yamada and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Konstantinos Slavakis

80 papers receiving 1.5k citations

Peers

Konstantinos Slavakis
Comparison fields: 5 of 87
  • Computational Mechanics 958
  • Signal Processing 540
  • Computer Vision and Pattern Recognition 340
  • Computer Networks and Communications 311
  • Artificial Intelligence 296
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Citations per field, relative to Konstantinos Slavakis
Konstantinos Slavakis · 1×
Citations per year, relative to Konstantinos Slavakis
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Countries citing papers authored by Konstantinos Slavakis

Since Specialization
Citations

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

Fields of papers citing papers by Konstantinos Slavakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konstantinos Slavakis

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantinos Slavakis. A scholar is included among the top collaborators of Konstantinos Slavakis 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 Konstantinos Slavakis. Konstantinos Slavakis 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
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 1
7 3
8 2
9 1
10 9
11 1
12 5
13 2
14 4
15
Robust adaptive sparse system identification by using weighted l 1 balls and Moreau envelopes
0
16 41
17 1
18 60
19
Efficient robust adaptive beamforming by the Adaptive Projected Subgradient Method -- A set-theoretic time-varying approach over multiple a priori constraints
3
20 3

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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