Manuela Dalibor

21 total papers · 624 total citations
10 papers, 206 citations indexed

About

Manuela Dalibor is a scholar working on Industrial and Manufacturing Engineering, Software and Information Systems. According to data from OpenAlex, Manuela Dalibor has authored 10 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 4 papers in Software and 3 papers in Information Systems. Recurrent topics in Manuela Dalibor's work include Manufacturing Process and Optimization (6 papers), Digital Transformation in Industry (5 papers) and Model-Driven Software Engineering Techniques (4 papers). Manuela Dalibor is often cited by papers focused on Manufacturing Process and Optimization (6 papers), Digital Transformation in Industry (5 papers) and Model-Driven Software Engineering Techniques (4 papers). Manuela Dalibor collaborates with scholars based in Germany, Sweden and Austria. Manuela Dalibor's co-authors include Andreas Wortmann, Bernhard Rumpe⋆, Manuel Wimmer, Judith Michael, Gerhard Lakemeyer, Ike Kunze, István Koren, Matthias Jarke, Jan Pennekamp and Jérôme Pfeiffer and has published in prestigious journals such as Journal of Systems and Software, Empirical Software Engineering and Zeitschrift für wirtschaftlichen Fabrikbetrieb.

In The Last Decade

Manuela Dalibor

10 papers receiving 200 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Manuela Dalibor 118 55 39 23 22 10 206
Francis Bordeleau 66 0.6× 53 1.0× 44 1.1× 45 2.0× 16 0.7× 20 159
István Koren 76 0.6× 46 0.8× 29 0.7× 10 0.4× 22 1.0× 25 171
Jonathan Fuchs 209 1.8× 25 0.5× 25 0.6× 8 0.3× 28 1.3× 14 256
Raphaël Barbau 174 1.5× 28 0.5× 80 2.1× 11 0.5× 38 1.7× 11 263
Emilia García 99 0.8× 28 0.5× 43 1.1× 4 0.2× 31 1.4× 17 183
Manoli Albert 38 0.3× 54 1.0× 48 1.2× 28 1.2× 23 1.0× 14 171
Andreas Wiesner 76 0.6× 69 1.3× 116 3.0× 8 0.3× 70 3.2× 10 248
Michael Sobolewski 73 0.6× 50 0.9× 29 0.7× 10 0.4× 31 1.4× 25 205
Francisca Santana Robles 27 0.2× 31 0.6× 25 0.6× 12 0.5× 50 2.3× 19 154
Vincent Aravantinos 56 0.5× 11 0.2× 45 1.2× 30 1.3× 12 0.5× 17 142

Countries citing papers authored by Manuela Dalibor

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Dalibor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Dalibor

This figure shows the co-authorship network connecting the top 25 collaborators of Manuela Dalibor. A scholar is included among the top collaborators of Manuela Dalibor 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 Manuela Dalibor. Manuela Dalibor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026