Daniela Roşca

56 papers receiving 514 citations

Peers

Daniela Roşca
Comparison fields: 5 of 98
  • Management Information Systems 94
  • Applied Mathematics 83
  • Computer Vision and Pattern Recognition 168
  • Computer Graphics and Computer-Aided Design 28
  • Structural Biology 8
Replace Michael Herrmann with:
Michael Herrmann Germany
Matthew A. MacDonald Canada
Chris Phillips United Kingdom
Krzysztof Kurowski Poland
Peter M. Dew United Kingdom
Mauricio Marı́n Chile
Yuk‐Hee Chan Hong Kong
Alasdair McAndrew Australia
Zbigniew Piotrowski Poland
Yang Yang China
Daniela Roşca relative to Michael Herrmann Germany Michael Herrmann's profile →
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Citations per year

Countries citing papers authored by Daniela Roşca

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Roşca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200949
2 201049
3 201443
4 201039
5 200930
6 200229
7 200526
8 201124
9 200719
10 200517
11 200515
12 201013
13 200513
14
Incident Command System Workflow Modeling and Analysis: A Case Study
200613
15 200912
16 200611
17 201211
18 201410
19 200710
20 20088

About Daniela Roşca

Daniela Roşca is a scholar working on Management Information Systems, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics and Applied Mathematics, having authored 58 papers that have together received 533 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (15 papers), Business Process Modeling and Analysis (14 papers), Service-Oriented Architecture and Web Services (11 papers), Advanced Numerical Analysis Techniques (10 papers), Mathematical Analysis and Transform Methods (7 papers), 3D Shape Modeling and Analysis (6 papers), Medical Image Segmentation Techniques (6 papers) and Computer Graphics and Visualization Techniques (5 papers). The work is most often cited by research in Management Information Systems (94 citations), Applied Mathematics (83 citations), Computer Vision and Pattern Recognition (168 citations), Computer Graphics and Computer-Aided Design (28 citations) and Structural Biology (8 citations). Daniela Roşca has collaborated with scholars based in Romania, United States and Germany. Frequent co-authors include Gerlind Plonka, Jiacun Wang, Jean-Pierre Antoine, Marc De Graef, Adam Morawiec, C. J. Wild, Pierre Vandergheynst, Sol J. Greenspan, Allen E. Milewski and Jürgen Prestin. Their work appears in journals such as Results in Mathematics, Modelling and Simulation in Materials Science and Engineering, Applied and Computational Harmonic Analysis, Mathematics of Computation and Journal of Fourier Analysis and Applications.

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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