Hassan Ramchoun

819 citations
14 papers · 548 indexed · 1 hit paper · h-index 5
Topics
Neural Networks and Applications (7 papers)Gaussian Processes and Bayesian Inference (5 papers)Machine Learning and ELM (3 papers)
Partner nations
MoroccoCanadaSpain

In The Last Decade

Hassan Ramchoun

13 papers receiving 534 citations

Hit Papers

Multilayer Perceptron: Architecture Optimization and Trai...20162026201920222016100200300

Peers

Hassan Ramchoun
Comparison fields: 5 of 125
  • Artificial Intelligence 208
  • Computer Vision and Pattern Recognition 65
  • Information Systems 54
  • Electrical and Electronic Engineering 54
  • Biomedical Engineering 50
Replace Youssef Ghanou with:
Youssef Ghanou Morocco
Devinder Kaur United States
Saptarshi Sengupta United States
Muhammad Zubair Rehman Malaysia
Manoj Duhan India
B. Venkatesh India
Qifeng Zhou China
Haoyue Liu China
Mahmoud B. Alhasanat Jordan
Hassan Ramchoun relative to Youssef Ghanou Morocco Youssef Ghanou's profile →
Citations per field
00.5×1.5×
Youssef Ghanou · 1×
Citations per year

Countries citing papers authored by Hassan Ramchoun

Since Specialization
Citations

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

Fields of papers citing papers by Hassan Ramchoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hassan Ramchoun

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 1
5 6
6 3
7 1
8 13
9 3
10 3
11 4
12 74
13 47
14
Multilayer Perceptron: Architecture Optimization and Trainingbreakdown →
388

About Hassan Ramchoun

Hassan Ramchoun is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing, having authored 14 papers that have together received 548 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Gaussian Processes and Bayesian Inference (5 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Artificial Intelligence (208 citations), Computational Mathematics (2 citations) and Computer Vision and Pattern Recognition (65 citations). Hassan Ramchoun has collaborated with scholars based in Morocco, Canada and Spain. Frequent co-authors include Youssef Ghanou, Mohamed Ettaouil and Mohamed Hosni. Their work appears in journals such as Neurocomputing, Knowledge-Based Systems and Soft Computing.

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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