Lisa Beinborn

652 total citations
21 papers, 142 citations indexed

About

Lisa Beinborn is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Lisa Beinborn has authored 21 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Cognitive Neuroscience and 2 papers in Developmental and Educational Psychology. Recurrent topics in Lisa Beinborn's work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Text Readability and Simplification (10 papers). Lisa Beinborn is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Text Readability and Simplification (10 papers). Lisa Beinborn collaborates with scholars based in Germany, Netherlands and Denmark. Lisa Beinborn's co-authors include Iryna Gurevych, Torsten Zesch, Willem Zuidema, Nora Hollenstein, Samira Abnar, Maria Barrett, Yuval Pinter, Lena A. Jäger, Guillem Collell and Antske Fokkens and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, International Journal of Multilingualism and ITL Review of Applied Linguistics.

In The Last Decade

Lisa Beinborn

19 papers receiving 133 citations

Peers

Lisa Beinborn
Comparison fields: 5 of 25
  • Artificial Intelligence 124
  • Cognitive Neuroscience 21
  • Developmental and Educational Psychology 18
  • Cultural Studies 16
  • Molecular Biology 12
Ulrike Padó Germany
Jon Gauthier United States
Rebecca Marvin United States
Lynne Cahill United Kingdom
Mathieu Constant France
Benoît Crabbé France
Ján Mačutek Slovakia
Gabriel Grand United States
Emiliano Guevara Norway
Aaron Steven White United States
Ulrike Padó Germany View profile →
Citations per field, relative to Lisa Beinborn
Lisa Beinborn · 1×
Citations per year, relative to Lisa Beinborn
Lisa Beinborn · 1×

Countries citing papers authored by Lisa Beinborn

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Beinborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Beinborn

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Beinborn. A scholar is included among the top collaborators of Lisa Beinborn 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 Lisa Beinborn. Lisa Beinborn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 4
5 1
6 3
7 4
8
A Cross-lingual Comparison of Human and Model Relative Word Importance
1
9 2
10
Towards Best Practices for Leveraging Human Language Processing Signals for Natural Language Processing
10
11 25
12 8
13
Vector-Space Models of Words and Sentences
1
14 4
15
A domain-agnostic approach for opinion prediction on speech
4
16 8
17 21
18 11
19 23
20
Towards Fine-Grained Readability Measures for Self-Directed Language Learning
9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026