Anne Lauscher

126 total papers · 1.1k total citations
40 papers, 487 citations indexed

About

Anne Lauscher is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Anne Lauscher has authored 40 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 4 papers in Molecular Biology and 2 papers in General Health Professions. Recurrent topics in Anne Lauscher's work include Topic Modeling (23 papers), Natural Language Processing Techniques (18 papers) and Text Readability and Simplification (10 papers). Anne Lauscher is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (18 papers) and Text Readability and Simplification (10 papers). Anne Lauscher collaborates with scholars based in Germany, Italy and United States. Anne Lauscher's co-authors include Goran Glavašš, Ivan Vulić, Simone Paolo Ponzetto, Kai Eckert, Dirk Hovy, Debora Nozza, Federico Bianchi, Björn Roß, Iryna Gurevych and Anna Korhonen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and Transactions of the Association for Computational Linguistics.

In The Last Decade

Anne Lauscher

32 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Anne Lauscher 380 53 52 33 32 40 487
Yanai Elazar 431 1.1× 94 1.8× 37 0.7× 13 0.4× 27 0.8× 22 499
Esin Durmus 271 0.7× 46 0.9× 32 0.6× 12 0.4× 39 1.2× 17 407
Stephan Raaijmakers 309 0.8× 74 1.4× 84 1.6× 25 0.8× 53 1.7× 44 509
Faisal Ladhak 293 0.8× 68 1.3× 23 0.4× 11 0.3× 36 1.1× 14 415
Emiel van Miltenburg 383 1.0× 133 2.5× 40 0.8× 18 0.5× 14 0.4× 29 489
Nancy Fulda 271 0.7× 38 0.7× 26 0.5× 11 0.3× 35 1.1× 22 434
Christoph Lofi 207 0.5× 41 0.8× 75 1.4× 13 0.4× 31 1.0× 46 468
Arkadiusz Janz 288 0.8× 21 0.4× 36 0.7× 12 0.4× 27 0.8× 19 448
Rachel Rudinger 412 1.1× 64 1.2× 25 0.5× 11 0.3× 10 0.3× 29 442
Yuheng Li 224 0.6× 112 2.1× 29 0.6× 28 0.8× 42 1.3× 27 543

Countries citing papers authored by Anne Lauscher

Since Specialization
Citations

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

Fields of papers citing papers by Anne Lauscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Lauscher

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