Eva H. Dulf
Impact in
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions
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- Advanced Control Systems Design
- Extremum Seeking Control Systems
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
Papers in
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- Advanced Control Systems Design 58
- Advanced Control Systems Optimization 38
- Extremum Seeking Control Systems 26
- Advanced Data Processing Techniques 15
- Fault Detection and Control Systems 9
- Control Systems and Identification 8
- Co-authors
- Cristina I. Mureşan (46 shared papers)Francisc Vasile Dulf (17 shared papers)Dan Cristian Vodnar (9 shared papers)Clara M. Ionescu (15 shared papers)Monica Ioana Toșa (2 shared papers)Isabela Birs (9 shared papers)Silviu Folea (5 shared papers)Adela Pintea (1 shared paper)
In The Last Decade
Eva H. Dulf
125 papers receiving 1.7k citations
Eva H. Dulf's Hit Papers
Peers
Comparison fields: 5 of 141
- Modeling and Simulation 183
- Control and Systems Engineering 761
- Biochemistry 147
- Industrial and Manufacturing Engineering 116
- Biotechnology 69
Countries citing papers authored by Eva H. Dulf
This map shows the geographic impact of Eva H. Dulf'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 Eva H. Dulf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva H. Dulf more than expected).
Fields of papers citing papers by Eva H. Dulf
This network shows the impact of papers produced by Eva H. Dulf. 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 Eva H. Dulf. The network helps show where Eva H. Dulf may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva H. Dulf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review on modern defect detection models using DCNNs – Deep convolutional neural networks Hit paper breakdown → | 2021 | 230 |
| 2 | 2017 | 101 | |
| 3 | 2022 | 91 | |
| 4 | 2013 | 89 | |
| 5 | 2015 | 83 | |
| 6 | 2015 | 64 | |
| 7 | 2022 | 61 | |
| 8 | 2019 | 58 | |
| 9 | 2017 | 58 | |
| 10 | 2021 | 48 | |
| 11 | 2012 | 40 | |
| 12 | 2019 | 40 | |
| 13 | 2015 | 29 | |
| 14 | 2014 | 28 | |
| 15 | 2024 | 27 | |
| 16 | 2023 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2022 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2020 | 22 |
About Eva H. Dulf
Eva H. Dulf is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence and Modeling and Simulation, having authored 146 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Control Systems Design (58 papers), Advanced Control Systems Optimization (38 papers), Extremum Seeking Control Systems (26 papers), Advanced Data Processing Techniques (15 papers), Fractional Differential Equations Solutions (10 papers), Fault Detection and Control Systems (9 papers), Control Systems and Identification (8 papers) and Field-Flow Fractionation Techniques (6 papers). The work is most often cited by research in Modeling and Simulation (183 citations), Control and Systems Engineering (761 citations), Biochemistry (147 citations), Industrial and Manufacturing Engineering (116 citations) and Biotechnology (69 citations). Eva H. Dulf has collaborated with scholars based in Romania, Hungary and Belgium. Frequent co-authors include Cristina I. Mureşan, Francisc Vasile Dulf, Dan Cristian Vodnar, Clara M. Ionescu, Monica Ioana Toșa, Isabela Birs, Silviu Folea, Adela Pintea, George Moiş and Ancuța Jurj. Their work appears in journals such as Applied Sciences, Sensors, IEEE Access, Chemical Engineering & Technology and Frontiers in Bioengineering and Biotechnology.
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.