Andrea Rendl

24 total papers · 580 total citations
8 papers, 219 citations indexed

About

Andrea Rendl is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Andrea Rendl has authored 8 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Automotive Engineering. Recurrent topics in Andrea Rendl's work include Constraint Satisfaction and Optimization (5 papers), Vehicle Routing Optimization Methods (4 papers) and Transportation and Mobility Innovations (3 papers). Andrea Rendl is often cited by papers focused on Constraint Satisfaction and Optimization (5 papers), Vehicle Routing Optimization Methods (4 papers) and Transportation and Mobility Innovations (3 papers). Andrea Rendl collaborates with scholars based in Austria, United Kingdom and Australia. Andrea Rendl's co-authors include Matthias Prandtstetter, Gerhard Hiermann, Jakob Puchinger, Günther R. Raidl, Luca Di Gaspero, Tommaso Urli, Philipp Hungerländer, Ian Miguel, Peter Gregory and Ian P. Gent and has published in prestigious journals such as Constraints, Central European Journal of Operations Research and RePEc: Research Papers in Economics.

In The Last Decade

Andrea Rendl

8 papers receiving 214 citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Rendl 144 95 74 45 41 8 219
Aljoscha Gruler 231 1.6× 81 0.9× 48 0.6× 23 0.5× 90 2.2× 8 314
Christoph Manuel Meyer 138 1.0× 104 1.1× 60 0.8× 40 0.9× 60 1.5× 8 295
Raafat Elshaer 168 1.2× 73 0.8× 76 1.0× 21 0.5× 82 2.0× 13 299
Christophe Lenté 251 1.7× 74 0.8× 90 1.2× 9 0.2× 25 0.6× 14 306
José Cáceres-Cruz 237 1.6× 82 0.9× 19 0.3× 32 0.7× 93 2.3× 8 281
Gordana Radivojević 206 1.4× 86 0.9× 30 0.4× 36 0.8× 90 2.2× 14 313
Tore Grünert 238 1.7× 106 1.1× 13 0.2× 51 1.1× 74 1.8× 10 281
Eduardo Curcio 129 0.9× 51 0.5× 59 0.8× 21 0.5× 43 1.0× 8 286
Jan Melechovský 208 1.4× 95 1.0× 14 0.2× 37 0.8× 68 1.7× 9 278
João Teixeira 106 0.7× 45 0.5× 21 0.3× 68 1.5× 97 2.4× 13 304

Countries citing papers authored by Andrea Rendl

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Rendl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Rendl

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Rendl. A scholar is included among the top collaborators of Andrea Rendl 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 Andrea Rendl. Andrea Rendl 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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