Monika Schubert

605 total citations
19 papers, 290 citations indexed

About

Monika Schubert is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Monika Schubert has authored 19 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Monika Schubert's work include Semantic Web and Ontologies (8 papers), AI-based Problem Solving and Planning (7 papers) and Constraint Satisfaction and Optimization (5 papers). Monika Schubert is often cited by papers focused on Semantic Web and Ontologies (8 papers), AI-based Problem Solving and Planning (7 papers) and Constraint Satisfaction and Optimization (5 papers). Monika Schubert collaborates with scholars based in Austria, China and Italy. Monika Schubert's co-authors include Alexander Felfernig, Monika Mandl, Erich Teppan, Gerhard Friedrich, Walid Maalej, Francesco Ricci⋆, Stefan Reiterer, Juha Tiihonen and Gerhard Leitner and has published in prestigious journals such as Journal of Intelligent Information Systems, Artificial intelligence for engineering design analysis and manufacturing and International Journal of Artificial Intelligence Tools.

In The Last Decade

Monika Schubert

18 papers receiving 262 citations

Peers

Monika Schubert
Comparison fields: 5 of 43
  • Artificial Intelligence 165
  • Information Systems 145
  • Computer Networks and Communications 80
  • Management of Technology and Innovation 44
  • Computational Theory and Mathematics 29
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Citations per field, relative to Monika Schubert
Monika Schubert · 1×
Citations per year, relative to Monika Schubert
Monika Schubert · 1×

Countries citing papers authored by Monika Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Monika Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Schubert

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2
Personalized diagnosis for over-constrained problems
11
3 82
4 8
5 4
6
Personalized Product Configuration
2
7 19
8 6
9 7
10
Diagnosing Inconsistent Requirements Preferences in Distributed Software Projects
2
11
Intelligent debugging of utility constraints in configuration knowledge bases
1
12
Diagnosing Inconsistent Requirements
2
13 55
14 27
15 11
16 40
17 4
18 1
19 7

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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