Mostefa Golea

840 citations
20 papers · 503 · h-index 8

Impact in

Papers in

    • Neural Networks and Applications 18
    • Machine Learning and Algorithms 12
    • Machine Learning and Data Classification 7
    • Fuzzy Logic and Control Systems 3
    • Imbalanced Data Classification Techniques 2
    • Machine Learning and ELM 2
    • Face and Expression Recognition 5

Mostefa Golea

17 papers receiving 455 citations

Peers

Mostefa Golea
Comparison fields: 5 of 81
  • Artificial Intelligence 406
  • Computational Theory and Mathematics 104
  • Computer Vision and Pattern Recognition 88
  • Health Informatics 5
  • Signal Processing 42
Replace Hakan Altınçay with:
Hakan Altınçay Cyprus
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Citations per field
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Citations per year

Countries citing papers authored by Mostefa Golea

Since Specialization
Citations

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

Fields of papers citing papers by Mostefa Golea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Mostefa Golea, 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 Mostefa Golea Line = papers co-authored together Mostefa Golea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1998263
2 199087
3 199042
4 199329
5
Generalization in Decision Trees and DNF: Does Size Matter?
199716
6 199314
7 19939
8 19948
9
On Learning µ-Perceptron Networks with Binary Weights
19927
10 20026
11 19945
12 19934
13 19964
14 19933
15 20023
16 20021
17
An Approximation Algorithm to Find the Largest Linearly Separable Subset of Training Examples
19931
18
Columnar recurrent neural network and time series analysis
19961
19
On learning simple deterministic and probabilistic neural concepts
19940
20 19940

About Mostefa Golea

Mostefa Golea is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing and Computational Theory and Mathematics, having authored 20 papers that have together received 503 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Machine Learning and Algorithms (12 papers), Machine Learning and Data Classification (7 papers), Face and Expression Recognition (5 papers), Fuzzy Logic and Control Systems (3 papers), Imbalanced Data Classification Techniques (2 papers), Blind Source Separation Techniques (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Artificial Intelligence (406 citations), Computational Theory and Mathematics (104 citations), Computer Vision and Pattern Recognition (88 citations), Health Informatics (5 citations) and Signal Processing (42 citations). Mostefa Golea has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Mario Marchand, Joachim Diederich, Alan Tickle, Robert Andrews, P. Ruján, Thomas R. Hancock, Peter L. Bartlett, Llew Mason, Wee Sun Lee and Yasubumi Sakakibara. Their work appears in journals such as Europhysics Letters (EPL), Machine Learning, Network Computation in Neural Systems, Neural Networks and International Journal of Neural Systems.

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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