Gerald Ninaus

435 total citations
15 papers, 59 citations indexed

About

Gerald Ninaus is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gerald Ninaus has authored 15 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Gerald Ninaus's work include Software Engineering Research (5 papers), Advanced Software Engineering Methodologies (5 papers) and Constraint Satisfaction and Optimization (5 papers). Gerald Ninaus is often cited by papers focused on Software Engineering Research (5 papers), Advanced Software Engineering Methodologies (5 papers) and Constraint Satisfaction and Optimization (5 papers). Gerald Ninaus collaborates with scholars based in Austria and China. Gerald Ninaus's co-authors include Alexander Felfernig, Martin Stettinger, Florian Reinfrank, Gerhard Leitner, Franz Wotawa, Stefan Reiterer, Sarah Haas, Michael Schwarz, Monika Mandl and Bernhard Peischl and has published in prestigious journals such as AI Communications, arXiv (Cornell University) and International Joint Conference on Artificial Intelligence.

In The Last Decade

Gerald Ninaus

15 papers receiving 55 citations

Peers

Gerald Ninaus
Gerald Ninaus
Citations per year, relative to Gerald Ninaus Gerald Ninaus (= 1×) peers Elena Kornyshova

Countries citing papers authored by Gerald Ninaus

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Ninaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Ninaus

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

All Works

15 of 15 papers shown
1.
Felfernig, Alexander, et al.. (2021). Recommender Systems for Configuration Knowledge Engineering. arXiv (Cornell University). 51–54. 1 indexed citations
2.
Wotawa, Franz, Florian Reinfrank, Gerald Ninaus, & Alexander Felfernig. (2015). iCone: intelligent environment for the development and maintenance of configuration knowledge bases. International Joint Conference on Artificial Intelligence. 30–31. 1 indexed citations
3.
Wotawa, Franz, Martin Stettinger, Florian Reinfrank, Gerald Ninaus, & Alexander Felfernig. (2015). Conflict management for constraint-based recommendation. International Joint Conference on Artificial Intelligence. 1–7. 2 indexed citations
4.
Reinfrank, Florian, Gerald Ninaus, Franz Wotawa, & Alexander Felfernig. (2015). Maintaining Constraint-based Configuration Systems: Challenges ahead. 2 indexed citations
5.
Reinfrank, Florian, Gerald Ninaus, Franz Wotawa, & Alexander Felfernig. (2015). Intelligent supporting techniques for the maintenance of constraint-based configuration systems. 1453. 31–38. 1 indexed citations
6.
Reinfrank, Florian, Gerald Ninaus, Bernhard Peischl, & Franz Wotawa. (2015). A Goal-Question-Metrics Model for Configuration Knowledge Bases. 123–130. 2 indexed citations
7.
Felfernig, Alexander, Sarah Haas, Gerald Ninaus, et al.. (2014). RecTurk: Constraint-based Recommendation based on Human Computation. Conference on Recommender Systems. 1–6. 10 indexed citations
8.
Felfernig, Alexander, Martin Stettinger, Gerald Ninaus, et al.. (2014). Towards Open Configuration. 89–94. 3 indexed citations
9.
Ninaus, Gerald, Florian Reinfrank, Martin Stettinger, & Alexander Felfernig. (2014). Content-based recommendation techniques for requirements engineering. 27–34. 7 indexed citations
10.
Stettinger, Martin, et al.. (2014). Configuring Decision Tasks. 17–21. 4 indexed citations
11.
Felfernig, Alexander, et al.. (2013). Automated repair of scoring rules in constraint-based recommender systems. AI Communications. 26(1). 15–27. 4 indexed citations
12.
Felfernig, Alexander & Gerald Ninaus. (2012). Group recommendation algorithms for requirements prioritization. 59–62. 8 indexed citations
13.
Felfernig, Alexander & Gerald Ninaus. (2012). Group recommendation algorithms for requirements prioritization. 59–62. 9 indexed citations
14.
Felfernig, Alexander, et al.. (2012). Eliciting Stakeholder Preferences for Requirements Prioritization. 27–31. 1 indexed citations
15.
Ninaus, Gerald. (2012). Using group recommendation heuristics for the prioritization of requirements. 7. 329–332. 4 indexed citations

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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