Ammar Shaker

785 total citations
18 papers, 466 citations indexed

About

Ammar Shaker is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Ammar Shaker has authored 18 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Control and Systems Engineering. Recurrent topics in Ammar Shaker's work include Data Stream Mining Techniques (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Fuzzy Logic and Control Systems (5 papers). Ammar Shaker is often cited by papers focused on Data Stream Mining Techniques (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Fuzzy Logic and Control Systems (5 papers). Ammar Shaker collaborates with scholars based in Germany, United Kingdom and Austria. Ammar Shaker's co-authors include Eyke Hüllermeier, Edwin Lughofer, Myra Spiliopoulou, Thilo Noack, Mark Last, Jerzy Stefanowski, Dariusz Brzeziński, Georg Krempl, Indrė Žliobaitė and Vincent Lemaire and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Software Engineering.

In The Last Decade

Ammar Shaker

14 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ammar Shaker Germany	8	397	100	57	52	45	18	466
Wang Zheng-ou China	9	233 0.6×	50 0.5×	26 0.5×	38 0.7×	101 2.2×	38	364
Luis Muñoz-González United Kingdom	8	353 0.9×	90 0.9×	113 2.0×	34 0.7×	44 1.0×	14	438
O. Uncu Canada	6	236 0.6×	36 0.4×	19 0.3×	47 0.9×	43 1.0×	12	330
Wai-Shing Ho Hong Kong	7	178 0.4×	168 1.7×	92 1.6×	18 0.3×	126 2.8×	8	363
Olena Vynokurova Ukraine	12	186 0.5×	29 0.3×	16 0.3×	94 1.8×	54 1.2×	37	330
Josif Grabocka Germany	7	289 0.7×	336 3.4×	22 0.4×	13 0.3×	40 0.9×	17	451
Silas Garrido Teixeira de Carvalho Santos Brazil	10	548 1.4×	97 1.0×	129 2.3×	19 0.4×	52 1.2×	15	584
Kotaro Hirasawa Japan	8	185 0.5×	67 0.7×	119 2.1×	54 1.0×	79 1.8×	23	308
Farnaz Sabahi Iran	8	157 0.4×	72 0.7×	120 2.1×	43 0.8×	43 1.0×	19	292
Youwei Wang China	11	199 0.5×	31 0.3×	38 0.7×	18 0.3×	89 2.0×	41	328

Countries citing papers authored by Ammar Shaker

Since Specialization

Citations

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

Fields of papers citing papers by Ammar Shaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ammar Shaker

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

All Works

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18 of 18 papers shown

Villmann, Thomas, et al.. (2025). A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations. Proceedings of the AAAI Conference on Artificial Intelligence. 39(19). 20273–20282.

Shaker, Ammar & Carolin Lawrence. (2023). Multi-Source Survival Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9752–9762.

Shaker, Ammar, Shujian Yu, & Daniel Oñoro-Rubio. (2022). Learning to Transfer with von Neumann Conditional Divergence. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8231–8239. 1 indexed citations

Zhao, Xu, et al.. (2022). Uncertainty Propagation in Node Classification. arXiv (Cornell University). 1275–1280.

Kotnis, Bhushan, Kiril Gashteovski, Ammar Shaker, et al.. (2022). MILIE: Modular & Iterative Multilingual Open Information Extraction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6939–6950. 6 indexed citations

Shaker, Ammar, et al.. (2021). Magnetic Water Treatment in Agriculture Sciences. SHILAP Revista de lepidopterología. 11(2). 109–113.

Shaker, Ammar & Eyke Hüllermeier. (2021). TSK-Streams: learning TSK fuzzy systems for regression on data streams. Data Mining and Knowledge Discovery. 35(5). 1941–1971. 1 indexed citations

Shaker, Ammar, et al.. (2021). Bilevel Continual Learning. 1–8. 5 indexed citations

He, Xiao, Francesco Alesiani, & Ammar Shaker. (2019). Efficient and Scalable Multi-Task Regression on Massive Number of Tasks. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3763–3770. 5 indexed citations

10.

Shaker, Ammar, et al.. (2016). Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic. IEEE Transactions on Software Engineering. 43(8). 739–759. 8 indexed citations

11.

Shaker, Ammar & Eyke Hüllermeier. (2014). Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing. 150. 250–264. 31 indexed citations

12.

Krempl, Georg, Indrė Žliobaitė, Dariusz Brzeziński, et al.. (2014). Open challenges for data stream mining research. ACM SIGKDD Explorations Newsletter. 16(1). 1–10. 170 indexed citations

13.

Shaker, Ammar & Eyke Hüllermeier. (2014). Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science. 24(1). 199–212. 9 indexed citations

14.

Shaker, Ammar & Edwin Lughofer. (2014). Self-adaptive and local strategies for a smooth treatment of drifts in data streams. Evolving Systems. 5(4). 239–257. 53 indexed citations

15.

Shaker, Ammar & Edwin Lughofer. (2013). Resolving global and local drifts in data stream regression using evolving rule-based models. 2. 9–16. 7 indexed citations

16.

Shaker, Ammar, Robin Senge, & Eyke Hüllermeier. (2012). Evolving fuzzy pattern trees for binary classification on data streams. Information Sciences. 220. 34–45. 27 indexed citations

17.

Shaker, Ammar & Eyke Hüllermeier. (2012). IBLStreams: a system for instance-based classification and regression on data streams. Evolving Systems. 3(4). 235–249. 57 indexed citations

18.

Lughofer, Edwin, et al.. (2011). On-line elimination of local redundancies in evolving fuzzy systems. Evolving Systems. 2(3). 165–187. 86 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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