Daniel Coca

1.9k citations
96 papers · 1.2k indexed · h-index 20

Impact in

Papers in

Daniel Coca

92 papers receiving 1.1k citations

Peers

Daniel Coca
Comparison fields: 5 of 130
  • Environmental Engineering 181
  • Control and Systems Engineering 254
  • Statistical and Nonlinear Physics 129
  • Health, Toxicology and Mutagenesis 119
  • Artificial Intelligence 159
Replace Antônio José da Silva Neto with:
Antônio José da Silva Neto Brazil
Steven Reece United Kingdom
John W. Roberts United States
Bertrand Michel France
James Hensman United Kingdom
Umberto Amato Italy
Mark Ebden United Kingdom
Yun Gao China
Imme Ebert‐Uphoff United States
Philipp Hennig Germany
Daniel Coca relative to Antônio José da Silva Neto Brazil Antônio José da Silva Neto's profile →
Citations per field
00.5×8.5×
Antônio José da Silva Neto · 1×
Citations per year

Countries citing papers authored by Daniel Coca

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Coca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201995
2 200274
3 201268
4 201462
5 200845
6 200944
7 201042
8 200138
9 200037
10 201833
11 199932
12
Nonlinear System Identification Using Wavelet Multi-resolution \nModels
199931
13 202430
14 199730
15 201929
16 201026
17 201823
18 202023
19 200920
20 201319

About Daniel Coca

Daniel Coca is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering, Health Informatics, Condensed Matter Physics and Computer Networks and Communications, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Control Systems and Identification (18 papers), Neural Networks and Applications (12 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Fault Detection and Control Systems (10 papers), Neural dynamics and brain function (9 papers), Chaos control and synchronization (8 papers), Theoretical and Computational Physics (7 papers) and Quantum chaos and dynamical systems (6 papers). The work is most often cited by research in Environmental Engineering (181 citations), Control and Systems Engineering (254 citations), Statistical and Nonlinear Physics (129 citations), Health, Toxicology and Mutagenesis (119 citations) and Artificial Intelligence (159 citations). Daniel Coca has collaborated with scholars based in United Kingdom, Romania and China. Frequent co-authors include S.A. Billings, S.A. Billings, Martin Mayfield, Said Munir, Veronica Biga, Peter W. Andrews, Paul J. Gokhale, Viorel Barbu, Roger Hardie and Mikko Juusola. Their work appears in journals such as International Journal of Bifurcation and Chaos, International Journal of Systems Science, Nonlinear Dynamics, Atmosphere and Bioinformatics.

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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