Costas Kravaris

6.7k citations
203 papers · 5.0k indexed · h-index 39

Costas Kravaris

193 papers receiving 4.7k citations

Peers

Costas Kravaris
Comparison fields: 5 of 124
  • Control and Systems Engineering 4.1k
  • Statistics, Probability and Uncertainty 185
  • Bioengineering 124
  • Statistical and Nonlinear Physics 256
  • Numerical Analysis 93
Replace Denis Dochain with:
Denis Dochain Belgium
Dominique Bonvin Switzerland
Bernard C. Lesieutre United States
Bjarne Foss Norway
Jesús Álvarez Mexico
Christos Georgakis United States
Luc Pronzato France
Paul M.J. Van den Hof Netherlands
Alain Vande Wouwer Belgium
Evanghelos Zafiriou United States
Costas Kravaris relative to Denis Dochain Belgium Denis Dochain's profile →
Citations per field
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Denis Dochain · 1×
Citations per year

Countries citing papers authored by Costas Kravaris

Since Specialization
Citations

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

Fields of papers citing papers by Costas Kravaris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20251
5 20243
6 20240
7 20243
8 202410
9 202315
10 202310
11 20119
12 20063
13 20054
14 199728
15 199364
16 19926
17 1989118
18 19875
19 19874
20 198624

About Costas Kravaris

Costas Kravaris is a scholar working on Control and Systems Engineering, Bioengineering and Statistics, Probability and Uncertainty, having authored 203 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (141 papers), Fault Detection and Control Systems (75 papers), Adaptive Control of Nonlinear Systems (61 papers), Advanced Control Systems Design (35 papers), Stability and Control of Uncertain Systems (32 papers), Extremum Seeking Control Systems (24 papers), Control Systems and Identification (22 papers) and Iterative Learning Control Systems (13 papers). The work is most often cited by research in Control and Systems Engineering (4.1k citations), Statistics, Probability and Uncertainty (185 citations) and Bioengineering (124 citations). Costas Kravaris has collaborated with scholars based in United States, Greece and India. Frequent co-authors include Nikolaos Kazantzis, Masoud Soroush, Raymond A. Wright, Pródromos Daoutidis, Iasson Karafyllis, Chang‐Bock Chung, Jeffrey C. Kantor, John H. Seinfeld, Srinivas Palanki and Yunfei Chu. Their work appears in journals such as IEEE Transactions on Automatic Control, Chemical Engineering Journal and Automatica.

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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