Ercan Solak

38 papers receiving 1.3k citations

Peers

Ercan Solak
Comparison fields: 5 of 57
  • Statistical and Nonlinear Physics 373
  • Computer Vision and Pattern Recognition 699
  • Artificial Intelligence 193
  • Control and Systems Engineering 98
  • Computational Mathematics 1
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Lin-Bao Yang United States
Rosa Martha López-Gutiérrez Mexico
Jianeng Tang China
Xiaofeng Liao China
Jun Zheng China
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Citations per field
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Citations per year

Countries citing papers authored by Ercan Solak

Since Specialization
Citations

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

Fields of papers citing papers by Ercan Solak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ercan Solak, 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 Ercan Solak Line = papers co-authored together Ercan Solak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Derivative Observations in Gaussian Process Models of Dynamic Systems
2002199
2 2010189
3 1996186
4 2009158
5 2009119
6 200981
7 199772
8 200158
9 201046
10 200921
11 201121
12 201821
13 200420
14 200318
15 200418
16 200518
17 201917
18 200316
19 200315
20 200815

About Ercan Solak

Ercan Solak is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Artificial Intelligence, Control and Systems Engineering and Mathematical Physics, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (15 papers), Natural Language Processing Techniques (9 papers), Chaos control and synchronization (8 papers), Gaussian Processes and Bayesian Inference (3 papers), Control Systems and Identification (2 papers), Mathematical Dynamics and Fractals (1 paper), Linguistics and Cultural Studies (1 paper) and Control and Stability of Dynamical Systems (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (373 citations), Computer Vision and Pattern Recognition (699 citations), Artificial Intelligence (193 citations), Control and Systems Engineering (98 citations) and Computational Mathematics (1 citation). Ercan Solak has collaborated with scholars based in Türkiye, Tunisia and Ireland. Frequent co-authors include Ömer Morgül, Cahit Çokal, Safya Mdimegh Belghith, Rhouma Rhouma, Douglas J. Leith, Olcay Taner Yıldız, Roderick Murray‐Smith, Carl Edward Rasmussen, Türker Bı́yı́koğlu and Gonzalo Álvarez. Their work appears in journals such as Physics Letters A, International Journal of Bifurcation and Chaos, Language Resources and Evaluation, Optics Communications and Communications in Nonlinear Science and Numerical Simulation.

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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