Andreas Masselli

16 total papers · 413 total citations
13 papers, 290 citations indexed

About

Andreas Masselli is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Andreas Masselli has authored 13 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Andreas Masselli's work include Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Andreas Masselli is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Andreas Masselli collaborates with scholars based in Germany and Palestinian Territory. Andreas Masselli's co-authors include Andreas Zell, Shaowu Yang, Christian Weiß and Sebastian Scherer and has published in prestigious journals such as Journal of Intelligent & Robotic Systems, IFAC Proceedings Volumes and PUB – Publications at Bielefeld University (Bielefeld University).

In The Last Decade

Andreas Masselli

13 papers receiving 282 citations

Author Peers

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

Author Last Decade Papers Cites
Andreas Masselli 236 232 52 28 27 13 290
Nikhil Khedekar 212 0.9× 230 1.0× 49 0.9× 15 0.5× 33 1.2× 16 297
Andrea Cesetti 231 1.0× 240 1.0× 34 0.7× 25 0.9× 27 1.0× 11 307
Michael Pantic 232 1.0× 212 0.9× 70 1.3× 13 0.5× 26 1.0× 17 324
Alexander Millane 172 0.7× 183 0.8× 67 1.3× 27 1.0× 20 0.7× 12 284
Zehui Meng 236 1.0× 240 1.0× 64 1.2× 21 0.8× 25 0.9× 14 325
Kenia Picos 247 1.0× 148 0.6× 48 0.9× 14 0.5× 20 0.7× 20 293
Dongliang Zheng 246 1.0× 166 0.7× 107 2.1× 24 0.9× 15 0.6× 13 317
Jonathan Courbon 281 1.2× 226 1.0× 26 0.5× 28 1.0× 16 0.6× 14 325
Matouš Vrba 187 0.8× 256 1.1× 45 0.9× 39 1.4× 20 0.7× 18 324
Joseph Carsten 200 0.8× 193 0.8× 39 0.8× 9 0.3× 33 1.2× 16 329

Countries citing papers authored by Andreas Masselli

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Masselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Masselli

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