Andreas Lommatzsch

49 total papers · 908 total citations
31 papers, 227 citations indexed

About

Andreas Lommatzsch is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andreas Lommatzsch has authored 31 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 16 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andreas Lommatzsch's work include Recommender Systems and Techniques (25 papers), Topic Modeling (10 papers) and Image Retrieval and Classification Techniques (8 papers). Andreas Lommatzsch is often cited by papers focused on Recommender Systems and Techniques (25 papers), Topic Modeling (10 papers) and Image Retrieval and Classification Techniques (8 papers). Andreas Lommatzsch collaborates with scholars based in Germany, United Kingdom and Netherlands. Andreas Lommatzsch's co-authors include Şahin Albayrak, Benjamin Kille, Frank Hopfgartner, Corinna Breitinger, Torben Brodt, Béla Gipp, Joeran Beel, Stefan Langer, Dragan Z. Milosevic and Roberto Turrin and has published in prestigious journals such as Lecture notes in computer science, User Modeling and User-Adapted Interaction and ACM SIGIR Forum.

In The Last Decade

Andreas Lommatzsch

31 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
Andreas Lommatzsch 159 124 59 33 31 31 227
Marc Bron 174 1.1× 176 1.4× 39 0.7× 41 1.2× 24 0.8× 31 308
Lynda Tamine 155 1.0× 187 1.5× 46 0.8× 28 0.8× 28 0.9× 45 326
Hengliang Luo 208 1.3× 141 1.1× 43 0.7× 40 1.2× 24 0.8× 22 291
Bangzuo Zhang 163 1.0× 197 1.6× 49 0.8× 16 0.5× 35 1.1× 27 286
Hai-Tao Yu 162 1.0× 142 1.1× 61 1.0× 37 1.1× 25 0.8× 38 247
Sunita Barve 173 1.1× 125 1.0× 66 1.1× 26 0.8× 60 1.9× 36 307
Kyle Williams 130 0.8× 166 1.3× 30 0.5× 35 1.1× 23 0.7× 20 280
Benjamin Kille 213 1.3× 125 1.0× 91 1.5× 63 1.9× 22 0.7× 32 259
Marieke Guy 188 1.2× 131 1.1× 57 1.0× 22 0.7× 21 0.7× 22 332
João Vinagre 179 1.1× 139 1.1× 56 0.9× 67 2.0× 29 0.9× 24 259

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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