Andreas Lommatzsch

42 total papers · 1.2k total citations
26 papers, 531 citations indexed

About

Andreas Lommatzsch is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andreas Lommatzsch has authored 26 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andreas Lommatzsch's work include Recommender Systems and Techniques (11 papers), Topic Modeling (8 papers) and Advanced Graph Neural Networks (5 papers). Andreas Lommatzsch is often cited by papers focused on Recommender Systems and Techniques (11 papers), Topic Modeling (8 papers) and Advanced Graph Neural Networks (5 papers). Andreas Lommatzsch collaborates with scholars based in Germany, Norway and United States. Andreas Lommatzsch's co-authors include Jérôme Kunegis, Şahin Albayrak, Ernesto William De Luca, Stephan Schmidt, Jürgen Lerner, Christian Bauckhage, Benjamin Kille, Till Plumbaum, Jon Atle Gulla and Torben Brodt and has published in prestigious journals such as IEEE Access, International Journal of Data Science and Analytics and Scalable Computing Practice and Experience.

In The Last Decade

Andreas Lommatzsch

20 papers receiving 499 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 Lommatzsch 318 288 115 69 58 26 531
Amin Mantrach 285 0.9× 134 0.5× 238 2.1× 41 0.6× 98 1.7× 19 545
Qi Cao 353 1.1× 194 0.7× 114 1.0× 78 1.1× 110 1.9× 46 566
Yubao Wu 190 0.6× 231 0.8× 82 0.7× 107 1.6× 119 2.1× 32 450
Lotfi Ben Romdhane 154 0.5× 349 1.2× 87 0.8× 99 1.4× 24 0.4× 29 461
Rakshit Trivedi 284 0.9× 123 0.4× 127 1.1× 39 0.6× 76 1.3× 12 540
Takanori Maehara 296 0.9× 149 0.5× 71 0.6× 92 1.3× 104 1.8× 49 533
Hao Yin 231 0.7× 348 1.2× 49 0.4× 86 1.2× 74 1.3× 12 514
Aiyou Chen 228 0.7× 346 1.2× 24 0.2× 80 1.2× 45 0.8× 19 618
J. Ignacio Alvarez-Hamelin 136 0.4× 365 1.3× 42 0.4× 180 2.6× 83 1.4× 36 604
Rushed Kanawati 256 0.8× 338 1.2× 106 0.9× 112 1.6× 35 0.6× 31 499

Countries citing papers authored by Andreas Lommatzsch

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Lommatzsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Lommatzsch

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