Helmut Horacek

64 papers receiving 628 citations

Peers

Helmut Horacek
Comparison fields: 5 of 73
  • Artificial Intelligence 609
  • Information Systems 79
  • Computer Vision and Pattern Recognition 67
  • Human-Computer Interaction 42
  • Computational Theory and Mathematics 37
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Citations per year

Countries citing papers authored by Helmut Horacek

Since Specialization
Citations

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

Fields of papers citing papers by Helmut Horacek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helmut Horacek

This figure shows the co-authorship network connecting the top 25 collaborators of Helmut Horacek. A scholar is included among the top collaborators of Helmut Horacek 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 Helmut Horacek. Helmut Horacek 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
#WorkIndexed citations
1
How to Build Explanations of Automated Proofs A Methodology and Requirements on Domain Representations
1
2
A corpus of tutorial dialogs on theorem proving; the influence of the presentation of the study-material
9
3 1
4
Fault-tolerant context-based interpretation of mathematical formulas
0
5
Generating Referential Descriptions Under Conditions of Uncertainty.
15
6
Building Hint Specifications in an NL Tutorial System for Mathematics
0
7
An annotated corpus of tutorial dialogs on mathematical theorem proving
18
8
Towards a Principled Approach to Tutoring Mathematical Proofs
0
9
Tutorial dialogs on mathematical proofs
24
10
Aggregation with Strong Regularities and Alternatives
4
11
Adaptive Course Generation and Presentation
5
12
An Interactive Proof Development Environment + Anticipation = A Mathematical Assistant?
2
13
Generating inference-rich discourse through revisions of RST-Trees
6
14
Exploiting the addressee's inferential capabilities in presenting mathematical proofs
7
15 1
16
A New Algorithm For Generating Referential Descriptions.
2
17
How to avoid explaining obvious things (without omitting central information)
3
18 1
19
Explanations for constraint systems
2
20
Using aspiration windows for minimax algorithms
2

About Helmut Horacek

Helmut Horacek is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications, having authored 73 papers that have together received 742 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Speech and dialogue systems (17 papers) and Multi-Agent Systems and Negotiation (13 papers). The work is most often cited by research in Artificial Intelligence (609 citations), Software (32 citations) and Human-Computer Interaction (42 citations). Helmut Horacek has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Magdalena Wolska, Stephan Busemann, Hermann Kaindl, Armin Fiedler, Christoph Benzmüller, Rafael Muñoz, Roman Popp, Ivana Kruijff‐Korbayová, Cristian Bogdan and Edin Arnautović. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of the American Academy of Child & Adolescent Psychiatry and Information Sciences.

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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