Horst Samulowitz

2.7k citations
44 papers · 1.2k · h-index 16

Impact in

Papers in

Horst Samulowitz

41 papers receiving 1.1k citations

Peers

Horst Samulowitz
Comparison fields: 5 of 123
  • Health Informatics 36
  • Artificial Intelligence 639
  • Software 43
  • Information Systems and Management 69
  • Signal Processing 107
Replace Freddy Lécué with:
Freddy Lécué United Kingdom
Christian W. Omlin Norway
Giang Nguyen Slovakia
Christopher Bogart United States
Qinghua Lu Australia
Mario Brčić Croatia
Richard Dazeley Australia
Maurice van Keulen Netherlands
Wenqi Fan Hong Kong
Ning Ding China
Horst Samulowitz relative to Freddy Lécué United Kingdom Freddy Lécué's profile →
Citations per field
00.5×6.1×
Freddy Lécué · 1×
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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019191
2 2017175
3 2016158
4 2018114
5 201685
6
Model-based genetic algorithms for algorithm configuration
201539
7
Learning to solve QBF
200738
8
Algorithm portfolios based on cost-sensitive hierarchical clustering
201336
9 201635
10 202030
11
Experiments with massively parallel constraint solving
200930
12 202125
13 202019
14 201618
15 201616
16 201015
17 201914
18 201612
19 201911
20
Learning Adaptation to Solve Constraint Satisfaction Problems
200911

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 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (14 papers), Constraint Satisfaction and Optimization (9 papers), Machine Learning and Algorithms (7 papers), Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (5 papers), Data Quality and Management (5 papers), Data Stream Mining Techniques (5 papers) and AI-based Problem Solving and Planning (4 papers). The work is most often cited by research in Health Informatics (36 citations), Artificial Intelligence (639 citations), Software (43 citations), Information Systems and Management (69 citations) and Signal Processing (107 citations). Horst Samulowitz has collaborated with scholars based in United States, Ireland and Canada. 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 Constraints, The Visual Computer, Proceedings of the ACM on Human-Computer Interaction, Proceedings of the VLDB Endowment and National Conference on Artificial Intelligence.

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.

Explore authors with similar magnitude of impact