Dana Copoţ

2.3k citations
128 papers · 1.6k indexed · 1 hit paper · h-index 21

Impact in

Papers in

Dana Copoţ

120 papers receiving 1.6k citations

Hit Papers

The role of fractional calculus in modeling biological phenomena: A review 2017 · 516 citations
5162017202620202023100200300400500

Peers

Dana Copoţ
Comparison fields: 5 of 127
  • Modeling and Simulation 497
  • Anesthesiology and Pain Medicine 361
  • Developmental Neuroscience 130
  • Numerical Analysis 154
  • Control and Systems Engineering 467
Replace Cristina I. Mureşan with:
Cristina I. Mureşan Romania
Declan G. Bates United Kingdom
Milan R. Rapaić Serbia
S. Chakravarty United States
Do Wan Kim South Korea
Mazen Alamir France
Bin Ge China
Sahaj Saxena India
Abdelfatah Charef Algeria
Yiheng Wei China
Dana Copoţ relative to Cristina I. Mureşan Romania Cristina I. Mureşan's profile →
Citations per field
00.5×2.7×
Cristina I. Mureşan · 1×
Citations per year

Countries citing papers authored by Dana Copoţ

Since Specialization
Citations

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

Fields of papers citing papers by Dana Copoţ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20241
3 20242
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5 20240
6 20242
7 20241
8 20240
9 20242
10 20237
11 20235
12 20224
13 20223
14 202033
15 202067
16 202047
17 202021
18 201921
19 201819
20 201725

About Dana Copoţ

Dana Copoţ is a scholar working on Anesthesiology and Pain Medicine, Modeling and Simulation, Developmental Neuroscience, Control and Systems Engineering and Critical Care and Intensive Care Medicine, having authored 128 papers that have together received 1.6k indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (45 papers), Advanced Control Systems Design (34 papers), Advanced Control Systems Optimization (22 papers), Hemodynamic Monitoring and Therapy (18 papers), Anesthesia and Neurotoxicity Research (16 papers), Fractional Differential Equations Solutions (16 papers), Fault Detection and Control Systems (11 papers) and Anesthesia and Pain Management (9 papers). The work is most often cited by research in Modeling and Simulation (497 citations), Anesthesiology and Pain Medicine (361 citations), Developmental Neuroscience (130 citations), Numerical Analysis (154 citations) and Control and Systems Engineering (467 citations). Dana Copoţ has collaborated with scholars based in Belgium, Romania and Türkiye. Frequent co-authors include Clara M. Ionescu, António M. Lopes, J. A. Tenreiro Machado, Jason H. T. Bates, Robin De Keyser, Mihaela Ghita, Cristina I. Mureşan, Martine Neckebroek, Isabela Birs and Anca Maxim. Their work appears in journals such as Biomedical Signal Processing and Control, Journal of Advanced Research, IEEE Access, Sensors and Journal of Clinical Medicine.

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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