Andrea Horbach

759 citations
44 papers · 450 indexed · 1 hit paper · h-index 12

Andrea Horbach

39 papers receiving 426 citations

Hit Papers

Using LLMs to bring evidence-based feedback into the clas...1042023202620242025255075100

Peers

Andrea Horbach
Comparison fields: 5 of 45
  • Health Informatics 26
  • Computer Science Applications 82
  • Artificial Intelligence 342
  • Information Systems 105
  • Developmental and Educational Psychology 56
Replace Jiaqi Yin with:
Jiaqi Yin China
Jaimie Drozdal United States
Amali Weerasinghe Australia
Duane Searsmith United States
Aoife Cahill United States
Semire Dikli United States
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Citations per field
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Citations per year

Countries citing papers authored by Andrea Horbach

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Horbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Andrea Horbach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrea Horbach Line = papers co-authored together Andrea Horbach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 202411
5 20241
6 20231
7 20234
8 20235
9 20232
10 202214
11
Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions.
20202
12 20203
13 201711
14 201791
15
Improving POS tagging of German learner language in a reading comprehension scenario
20162
16
A Corpus of Literal and Idiomatic Uses of German Infinitive-Verb Compounds
20165
17
Finding a Tradeoff between Accuracy and Rater's Workload in Grading Clustered Short Answers
201413
18
CSGS: Adapting a Short Answer Scoring System for Multiple-choice Reading Comprehension Exercises.
20141
19
Improving the Performance of Standard Part-of-Speech Taggers for Computer-Mediated Communication.
20144
20
Using the text to evaluate short answers for reading comprehension exercises
201320

About Andrea Horbach

Andrea Horbach is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology, having authored 44 papers that have together received 450 indexed citations. Recurring topics across this work include Topic Modeling (30 papers), Natural Language Processing Techniques (28 papers), Text Readability and Simplification (13 papers), Software Engineering Research (6 papers), Online Learning and Analytics (4 papers), Semantic Web and Ontologies (4 papers), Machine Learning and Algorithms (3 papers) and Educational Assessment and Pedagogy (3 papers). The work is most often cited by research in Health Informatics (26 citations), Computer Science Applications (82 citations) and Artificial Intelligence (342 citations). Andrea Horbach has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Torsten Zesch, Alexis Palmer, Brian Riordan, Jennifer Meyer, Johanna Fleckenstein, Aoife Cahill, Thorben Jansen, Chongmin Lee, Manfred Pinkal and Yuning Ding. Their work appears in journals such as Computers & Education, Learning and Instruction and Language Resources and Evaluation.

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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