Daniela Zaharie

1.0k citations
41 papers · 600 indexed · h-index 10
Topics
Metaheuristic Optimization Algorithms Research (10 papers)Evolutionary Algorithms and Applications (9 papers)Distributed and Parallel Computing Systems (7 papers)

In The Last Decade

Daniela Zaharie

38 papers receiving 578 citations

Peers

Daniela Zaharie
Comparison fields: 5 of 111
  • Artificial Intelligence 278
  • Media Technology 172
  • Computational Theory and Mathematics 145
  • Atmospheric Science 102
  • Computer Vision and Pattern Recognition 64
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Haojin Li China
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Zaharie

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Zaharie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Zaharie

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Zaharie. A scholar is included among the top collaborators of Daniela Zaharie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Zaharie. Daniela Zaharie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
To BAN or not to BAN
13
2 13
3 1
4 15
5 4
6 7
7
FEATURE RANKING BASED ON WEIGHTS ESTIMATED BY MULTIOBJECTIVE OPTIMIZATION
1
8 2
9 12
10 3
11
Computational challenges in processing large hyperspectral images
3
12 1
13 5
14 223
15 4
16
Evolutionary multi-objective optimization on grid environments
1
17 5
18 20
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Airfoil shape optimization by coupling computational fluid dynamics with evolutionary multiobjective optimization
1
20 2

About Daniela Zaharie

Daniela Zaharie is a scholar working on Artificial Intelligence, Information Systems and Management and Computer Networks and Communications, having authored 41 papers that have together received 600 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (9 papers) and Distributed and Parallel Computing Systems (7 papers). The work is most often cited by research in Media Technology (172 citations), Computational Theory and Mathematics (145 citations) and Artificial Intelligence (278 citations). Daniela Zaharie has collaborated with scholars based in Romania, United Kingdom and Netherlands. Frequent co-authors include Xia Li, Antonio Plaza, José M. Bioucas‐Dias, Alexander Agathos, Jun Li, Dana Petcu, Viorel Negru, Dorian Gorgan, Marko Robnik‐Šikonja and Florin Pop. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Journal of Theoretical Biology.

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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