Cristina Olaru

506 citations
7 papers · 340 indexed · h-index 5
Topics
Fault Detection and Control Systems (2 papers)Bayesian Modeling and Causal Inference (2 papers)Anomaly Detection Techniques and Applications (2 papers)
Partner nations
BelgiumRomania

In The Last Decade

Cristina Olaru

7 papers receiving 312 citations

Peers

Cristina Olaru
Comparison fields: 5 of 90
  • Artificial Intelligence 179
  • Information Systems 105
  • Computational Theory and Mathematics 82
  • Electrical and Electronic Engineering 47
  • Management Science and Operations Research 43
Replace Hanna Wasyluk with:
Hanna Wasyluk Poland
Ciro Castiello Italy
Xuewen Chen United States
Alireza Farhangfar Canada
Bernd Reusch Germany
Roman Neruda Czechia
Krzysztof Grąbczewski Poland
Yongchuan Tang China
Zhigao Guo China
Christian Döring Germany
Cristina Olaru relative to Hanna Wasyluk Poland Hanna Wasyluk's profile →
Citations per field
00.5×10×15.7×
Hanna Wasyluk · 1×
Citations per year

Countries citing papers authored by Cristina Olaru

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Olaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Olaru

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Bias-variance tradeoff of soft decision trees
1
2 264
3
Improving the bias/variance tradeoff of decision trees: towards soft tree induction
4
4
Data mining tools and application in power system engineering
5
5
Data mining
31
6 30
7 5

About Cristina Olaru

Cristina Olaru is a scholar working on Biochemistry, Artificial Intelligence and Analytical Chemistry, having authored 7 papers that have together received 340 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (179 citations), Computational Theory and Mathematics (82 citations) and Information Systems (105 citations). Cristina Olaru has collaborated with scholars based in Belgium and Romania. Frequent co-authors include Louis Wehenkel, Pierre Geurts, Radu Setnescu, Tanţa Setnescu and S. Jipa. Their work appears in journals such as Fuzzy Sets and Systems, Polymer Degradation and Stability and IEEE Computer Applications in Power.

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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