Ammar Shaker
Impact in
- Artificial Intelligence top 5%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Signal Processing top 5%
- Time Series Analysis and Forecasting
Papers in
-
- Data Stream Mining Techniques 8
- Fuzzy Logic and Control Systems 5
- Domain Adaptation and Few-Shot Learning 5
- Machine Learning and Data Classification 4
- Neural Networks and Applications 2
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- Time Series Analysis and Forecasting 4
- Co-authors
- Eyke Hüllermeier (7 shared papers)Edwin Lughofer (3 shared papers)Dariusz Brzeziński (1 shared paper)Jerzy Stefanowski (1 shared paper)Myra Spiliopoulou (1 shared paper)Vincent Lemaire (1 shared paper)Indrė Žliobaitė (1 shared paper)Mark Last (1 shared paper)
- Journals
- Evolving Systems (3 papers)International Journal of Applied Mathematics and Computer Science (1 paper)Data Mining and Knowledge Discovery (1 paper)Neurocomputing (1 paper)Information Sciences (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Ammar Shaker
14 papers receiving 460 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 397
- Signal Processing 101
- Management Science and Operations Research 44
- Computer Networks and Communications 58
- Control and Systems Engineering 52
Countries citing papers authored by Ammar Shaker
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
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-authors
The 23 scholars most cited alongside Ammar Shaker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 172 | |
| 2 | 2011 | 86 | |
| 3 | 2012 | 57 | |
| 4 | 2014 | 53 | |
| 5 | 2014 | 31 | |
| 6 | 2012 | 27 | |
| 7 | 2014 | 9 | |
| 8 | 2016 | 8 | |
| 9 | 2013 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2022 | 0 | |
| 18 | 2021 | 0 |
About Ammar Shaker
Ammar Shaker is a scholar working on Artificial Intelligence, Signal Processing, Control and Systems Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 468 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (8 papers), Fuzzy Logic and Control Systems (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and Data Classification (4 papers), Time Series Analysis and Forecasting (4 papers), Multimodal Machine Learning Applications (2 papers), Neural Networks and Applications (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Artificial Intelligence (397 citations), Signal Processing (101 citations), Management Science and Operations Research (44 citations), Computer Networks and Communications (58 citations) and Control and Systems Engineering (52 citations). Ammar Shaker has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Eyke Hüllermeier, Edwin Lughofer, Dariusz Brzeziński, Jerzy Stefanowski, Myra Spiliopoulou, Vincent Lemaire, Indrė Žliobaitė, Mark Last, Georg Krempl and Robin Senge. Their work appears in journals such as Evolving Systems, International Journal of Applied Mathematics and Computer Science, Data Mining and Knowledge Discovery, Neurocomputing and Information Sciences.
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.