Verena Rieser

197 total papers · 3.5k total citations
90 papers, 1.4k citations indexed

About

Verena Rieser is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Verena Rieser has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Verena Rieser's work include Topic Modeling (51 papers), Speech and dialogue systems (47 papers) and Natural Language Processing Techniques (30 papers). Verena Rieser is often cited by papers focused on Topic Modeling (51 papers), Speech and dialogue systems (47 papers) and Natural Language Processing Techniques (30 papers). Verena Rieser collaborates with scholars based in United Kingdom, Germany and United States. Verena Rieser's co-authors include Oliver Lemon, Eshrag Refaee, Ondřej Dušek, Jekaterina Novikova, Derek T. Robinson, Andrea Vanzo, Paweł Świętojański, Dave Murray-Rust, Mark Rounsevell and Dimitra Gkatzia and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Environmental Modelling & Software.

In The Last Decade

Verena Rieser

88 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Verena Rieser 1.2k 150 129 88 82 90 1.4k
Roberto Confalonieri 808 0.7× 108 0.7× 29 0.2× 86 1.0× 45 0.5× 48 1.5k
Nan Xu 709 0.6× 315 2.1× 37 0.3× 88 1.0× 56 0.7× 54 1.2k
Ziqi Zhang 822 0.7× 271 1.8× 51 0.4× 237 2.7× 37 0.5× 123 1.5k
Wenqi Wei 1.1k 0.9× 180 1.2× 40 0.3× 134 1.5× 15 0.2× 77 1.7k
Mohammed Moshiul Hoque 659 0.6× 267 1.8× 277 2.1× 155 1.8× 46 0.6× 137 1.7k
Advaith Siddharthan 1.4k 1.2× 44 0.3× 104 0.8× 183 2.1× 20 0.2× 66 1.8k
Maarten van Someren 615 0.5× 148 1.0× 68 0.5× 245 2.8× 14 0.2× 43 1.1k
Edith Law 461 0.4× 295 2.0× 147 1.1× 151 1.7× 19 0.2× 62 1.4k
Diego R. Amancio 799 0.7× 104 0.7× 25 0.2× 132 1.5× 30 0.4× 62 1.5k
Anbang Xu 541 0.5× 184 1.2× 124 1.0× 164 1.9× 18 0.2× 45 1.2k

Countries citing papers authored by Verena Rieser

Since Specialization
Citations

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

Fields of papers citing papers by Verena Rieser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Rieser

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