Andreas Schlapbach

19 total papers · 707 total citations
16 papers, 440 citations indexed

About

Andreas Schlapbach is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Andreas Schlapbach has authored 16 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Human-Computer Interaction. Recurrent topics in Andreas Schlapbach's work include Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (6 papers) and Hand Gesture Recognition Systems (5 papers). Andreas Schlapbach is often cited by papers focused on Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (6 papers) and Hand Gesture Recognition Systems (5 papers). Andreas Schlapbach collaborates with scholars based in Switzerland and Germany. Andreas Schlapbach's co-authors include Horst Bunke and Marcus Liwicki and has published in prestigious journals such as Pattern Recognition, Pattern Analysis and Applications and Proceedings of the International Conference on Document Analysis and Recognition.

In The Last Decade

Andreas Schlapbach

16 papers receiving 402 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 Schlapbach 409 184 113 97 53 16 440
Ameur Benséfia 375 0.9× 146 0.8× 145 1.3× 46 0.5× 31 0.6× 21 442
S. Knerr 342 0.8× 241 1.3× 81 0.7× 63 0.6× 27 0.5× 12 445
Manabu Okawa 305 0.7× 197 1.1× 80 0.7× 22 0.2× 132 2.5× 24 400
J. Subrahmonia 365 0.9× 137 0.7× 36 0.3× 52 0.5× 38 0.7× 21 444
Houcine Boubaker 337 0.8× 157 0.9× 89 0.8× 75 0.8× 26 0.5× 35 374
J. Francisco Vargas 371 0.9× 124 0.7× 139 1.2× 36 0.4× 60 1.1× 20 478
Ziyong Feng 334 0.8× 105 0.6× 75 0.7× 109 1.1× 19 0.4× 17 418
Ibrahim S. I. Abuhaiba 391 1.0× 108 0.6× 137 1.2× 39 0.4× 80 1.5× 29 486
Adnan Ul-Hasan 329 0.8× 138 0.8× 128 1.1× 24 0.2× 26 0.5× 20 398
Satish R. Kolhe 225 0.6× 138 0.8× 131 1.2× 30 0.3× 74 1.4× 31 372

Countries citing papers authored by Andreas Schlapbach

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Schlapbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Schlapbach

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