Theodoros Evgeniou

11.5k citations
73 papers · 5.7k indexed · 4 hit papers · h-index 30
Topics
Neural Networks and Applications (12 papers)Artificial Intelligence in Healthcare and Education (10 papers)Face and Expression Recognition (9 papers)

In The Last Decade

Theodoros Evgeniou

71 papers receiving 5.3k citations

Hit Papers

Regularized multi--task learning20002026200820172004200820002005250500750

Peers

Theodoros Evgeniou
Comparison fields: 5 of 187
  • Artificial Intelligence 2.5k
  • Computer Vision and Pattern Recognition 1.5k
  • Computational Mechanics 807
  • Management Science and Operations Research 450
  • Economics and Econometrics 434
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Citations per field
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Citations per year

Countries citing papers authored by Theodoros Evgeniou

Since Specialization
Citations

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

Fields of papers citing papers by Theodoros Evgeniou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theodoros Evgeniou

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 8
3 0
4 4
5 0
6 16
7 7
8 29
9
When Machine Learning Goes Off the Rails
5
10
Direct-to-Consumer Medical Machine Learning and Artificial Intelligence Applications
2
11
A better way to onboard ai understand it as a tool to assist rather than replace people.
3
12 170
13 77
14 7
15 113
16
Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters
58
17
Stability of Randomized Learning Algorithms
50
18
Learning Multiple Tasks with Kernel Methodsbreakdown →
515
19 11
20
Bounds on the Generalization Performance of Kernel Machine Ensembles
13

About Theodoros Evgeniou

Theodoros Evgeniou is a scholar working on Health Informatics, General Decision Sciences and Artificial Intelligence, having authored 73 papers that have together received 5.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Artificial Intelligence in Healthcare and Education (10 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Health Informatics (298 citations), Computational Mathematics (51 citations) and General Decision Sciences (157 citations). Theodoros Evgeniou has collaborated with scholars based in France, United States and Singapore. Frequent co-authors include Massimiliano Pontil, Tomaso Poggio, Andreas A. Argyriou, Charles A. Micchelli, Sara Gerke, I. Glenn Cohen, Michèle Hibon, Olivier Toubia, Boris Babic and André Elisseeff. Their work appears in journals such as Science, NeuroImage and Management Science.

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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