Horst Samulowitz

2.6k total citations
43 papers, 1.1k citations indexed

About

Horst Samulowitz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Horst Samulowitz has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 9 papers in Signal Processing. Recurrent topics in Horst Samulowitz's work include Machine Learning and Data Classification (14 papers), Constraint Satisfaction and Optimization (9 papers) and Data Management and Algorithms (7 papers). Horst Samulowitz is often cited by papers focused on Machine Learning and Data Classification (14 papers), Constraint Satisfaction and Optimization (9 papers) and Data Management and Algorithms (7 papers). Horst Samulowitz collaborates with scholars based in United States, United Kingdom and Ireland. Horst Samulowitz's co-authors include Deepak S. Turaga, Udayan Khurana, Alhussein Fawzi, Pascal Frossard, Fatemeh Nargesian, Elias B. Khalil, Dakuo Wang, Yuri Malitsky, Parikshit Ram and Alexander Gray and has published in prestigious journals such as Proceedings of the VLDB Endowment, The Visual Computer and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Horst Samulowitz

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Horst Samulowitz United States 15 619 187 179 161 106 43 1.1k
Christian W. Omlin Norway 18 957 1.5× 225 1.2× 149 0.8× 84 0.5× 105 1.0× 75 1.5k
Giang Nguyen Slovakia 15 399 0.6× 109 0.6× 280 1.6× 193 1.2× 136 1.3× 54 1.1k
Christin Seifert Germany 19 807 1.3× 393 2.1× 67 0.4× 161 1.0× 105 1.0× 100 1.5k
J. Anuradha India 11 352 0.6× 126 0.7× 162 0.9× 176 1.1× 91 0.9× 31 942
Richard Dazeley Australia 16 636 1.0× 66 0.4× 99 0.6× 182 1.1× 43 0.4× 60 1.1k
Mario Brčić Croatia 8 592 1.0× 81 0.4× 61 0.3× 77 0.5× 44 0.4× 25 974
Stefano V. Albrecht United Kingdom 13 691 1.1× 214 1.1× 112 0.6× 120 0.7× 67 0.6× 37 1.2k
Aaron Klein Germany 8 753 1.2× 236 1.3× 71 0.4× 84 0.5× 56 0.5× 25 1.2k
Matthias Feurer Germany 6 651 1.1× 128 0.7× 66 0.4× 92 0.6× 57 0.5× 9 1.0k
Jafreezal Jaafar Malaysia 17 429 0.7× 136 0.7× 103 0.6× 289 1.8× 100 0.9× 149 1.2k

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-authorship network of co-authors of Horst Samulowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Horst Samulowitz. A scholar is included among the top collaborators of Horst Samulowitz 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 Horst Samulowitz. Horst Samulowitz 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
1.
Kang, Inwon, Parikshit Ram, Yi Zhou, Horst Samulowitz, & Oshani Seneviratne. (2024). Effective Data Distillation for Tabular Datasets (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23533–23534. 1 indexed citations
2.
Martino, Mauro, Gaetano Rossiello, Hendrik Strobelt, et al.. (2024). Empirical Evidence on Conversational Control of GUI in Semantic Automation. 869–885. 2 indexed citations
3.
Zhou, Yi, et al.. (2024). Byzantine-Resilient Bilevel Federated Learning. 1–5.
4.
Khurana, Udayan, et al.. (2023). NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns. 5096–5100. 1 indexed citations
5.
Abdelaziz, Ibrahim, Julian Dolby, Udayan Khurana, Horst Samulowitz, & Kavitha Srinivas. (2023). SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. 7106–7109. 1 indexed citations
6.
Abdelaziz, Ibrahim, Julian Dolby, Udayan Khurana, Horst Samulowitz, & Kavitha Srinivas. (2023). DataRinse: Semantic Transforms for Data Preparation Based on Code Mining. Proceedings of the VLDB Endowment. 16(12). 4090–4093. 1 indexed citations
7.
Patel, Dhaval, P. D. Kirchner, Horst Samulowitz, et al.. (2021). AutoAI-TS. 2584–2596. 25 indexed citations
8.
Wang, Dakuo, Parikshit Ram, Sijia Liu, et al.. (2020). AutoAI. 77–78. 19 indexed citations
9.
Liu, Sijia, Parikshit Ram, Djallel Bouneffouf, et al.. (2019). A Formal Method for AutoML via ADMM. arXiv (Cornell University). 1 indexed citations
10.
Galhotra, Sainyam, Udayan Khurana, Oktie Hassanzadeh, et al.. (2019). Automated Feature Enhancement for Predictive Modeling using External Knowledge. 14 indexed citations
11.
Khurana, Udayan, et al.. (2016). Cognito: Automated Feature Engineering for Supervised Learning. 1304–1307. 82 indexed citations
12.
Fawzi, Alhussein, Horst Samulowitz, Deepak S. Turaga, & Pascal Frossard. (2016). Adaptive data augmentation for image classification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3688–3692. 155 indexed citations
13.
Ansótegui, Carlos, Yuri Malitsky, Horst Samulowitz, Meinolf Sellmann, & Kevin Tierney. (2015). Model-based genetic algorithms for algorithm configuration. International Conference on Artificial Intelligence. 733–739. 38 indexed citations
14.
Malitsky, Yuri, Ashish Sabharwal, Horst Samulowitz, & Meinolf Sellmann. (2013). Algorithm portfolios based on cost-sensitive hierarchical clustering. International Joint Conference on Artificial Intelligence. 608–614. 36 indexed citations
15.
Katsirelos, George, Ashish Sabharwal, Horst Samulowitz, & Laurent Simon. (2013). Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers. Proceedings of the AAAI Conference on Artificial Intelligence. 27(1). 481–488. 10 indexed citations
16.
Schrijvers, Tom, Guido Tack, Pieter Wuille, Horst Samulowitz, & Peter J. Stuckey. (2011). Search combinators. 774–788. 6 indexed citations
17.
Stern, David, Horst Samulowitz, Ralf Herbrich, et al.. (2010). Collaborative Expert Portfolio Management. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 179–184. 15 indexed citations
18.
Bordeaux, Lucas, Youssef Hamadi, & Horst Samulowitz. (2009). Experiments with massively parallel constraint solving. International Joint Conference on Artificial Intelligence. 443–448. 30 indexed citations
19.
Xu, Yuehua, David Stern, & Horst Samulowitz. (2009). Learning Adaptation to Solve Constraint Satisfaction Problems. 11 indexed citations
20.
Samulowitz, Horst & Roland Memisevic. (2007). Learning to solve QBF. National Conference on Artificial Intelligence. 255–260. 38 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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