Hamid Laga

839 citations
3 papers · 470 indexed · 1 hit paper · h-index 3
Topics
Radiomics and Machine Learning in Medical Imaging (1 paper)Gaussian Processes and Bayesian Inference (1 paper)Cancer-related molecular mechanisms research (1 paper)
Partner nations
AustraliaFrance

In The Last Decade

Hamid Laga

3 papers receiving 452 citations

Hit Papers

Hands-On Bayesian Neural Networks—A Tutorial for Deep Lea...20222026202320242022100200300400

Peers

Hamid Laga
Comparison fields: 5 of 94
  • Artificial Intelligence 172
  • Control and Systems Engineering 67
  • Computer Vision and Pattern Recognition 67
  • Electrical and Electronic Engineering 47
  • Statistics, Probability and Uncertainty 43
Replace Jakob Gawlikowski with:
Jakob Gawlikowski Germany
Matthias Humt Germany
Laurent Valentin Jospin Switzerland
Raoul Heese Germany
Bogdan Georgiev Germany
Laura von Rueden Germany
Edmondo Minisci United Kingdom
Yang Shen China
Bas van Stein Netherlands
Bernhard C. Geiger Austria
Hamid Laga relative to Jakob Gawlikowski Germany Jakob Gawlikowski's profile →
Citations per field
00.5×5.5×
Jakob Gawlikowski · 1×
Citations per year

Countries citing papers authored by Hamid Laga

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Laga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Laga

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1 5
2
Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Usersbreakdown →
430
3 35

About Hamid Laga

Hamid Laga is a scholar working on Industrial and Manufacturing Engineering, Cancer Research and Artificial Intelligence, having authored 3 papers that have together received 470 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (43 citations), Artificial Intelligence (172 citations) and Health Informatics (6 citations). Hamid Laga has collaborated with scholars based in Australia and France. Frequent co-authors include Farid Boussaïd, Wray Buntine, Laurent Valentin Jospin, Mohammed Bennamoun, Chafik Samir and Kok Wai Wong. Their work appears in journals such as PLoS ONE, Neural Computing and Applications and IEEE Computational Intelligence Magazine.

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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