Horst Samulowitz

2.6k citations
43 papers · 1.1k · h-index 15

Impact in

Papers in

Horst Samulowitz

39 papers receiving 1.1k citations

Peers

Horst Samulowitz
Comparison fields: 5 of 127
  • Health Informatics 39
  • Artificial Intelligence 619
  • Software 43
  • Information Systems and Management 70
  • Signal Processing 106
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Zhenyu Wen China
Christian W. Omlin Norway
Giang Nguyen Slovakia
Christopher Bogart United States
Mario Brčić Croatia
Qinghua Lu Australia
Dave Braines United Kingdom
Maurice van Keulen Netherlands
Richard Dazeley Australia
Alan Tickle Australia
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Citations per field
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Citations per year

Countries citing papers authored by Horst Samulowitz

Since Specialization
Citations

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

Fields of papers citing papers by Horst Samulowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Horst Samulowitz, 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 Horst Samulowitz Line = papers co-authored together Horst Samulowitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019185
2 2017172
3 2016155
4 2018111
5 201682
6
Learning to solve QBF
200738
7
Model-based genetic algorithms for algorithm configuration
201538
8
Algorithm portfolios based on cost-sensitive hierarchical clustering
201336
9 201635
10
Experiments with massively parallel constraint solving
200930
11 202029
12 202125
13 202019
14 201616
15 201015
16 201914
17 201612
18
Learning Adaptation to Solve Constraint Satisfaction Problems
200911
19 201911
20 201310

About Horst Samulowitz

Horst Samulowitz is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Management Science and Operations Research and Information Systems, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (14 papers), Constraint Satisfaction and Optimization (9 papers), Data Management and Algorithms (7 papers), Machine Learning and Algorithms (6 papers), Data Stream Mining Techniques (5 papers), Advanced Database Systems and Queries (5 papers), Data Quality and Management (5 papers) and AI-based Problem Solving and Planning (4 papers). The work is most often cited by research in Health Informatics (39 citations), Artificial Intelligence (619 citations), Software (43 citations), Information Systems and Management (70 citations) and Signal Processing (106 citations). Horst Samulowitz has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Deepak S. Turaga, Udayan Khurana, Alhussein Fawzi, Pascal Frossard, Fatemeh Nargesian, Elias B. Khalil, Dakuo Wang, Parikshit Ram, Yuri Malitsky and Alexander Gray. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, The Visual Computer, Constraints, Proceedings of the VLDB Endowment and arXiv (Cornell University).

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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