Mădălina Olteanu

939 citations
44 papers · 388 indexed · h-index 9
Topics
Neural Networks and Applications (6 papers)Diagnosis and treatment of tuberculosis (5 papers)Tuberculosis Research and Epidemiology (5 papers)

In The Last Decade

Mădălina Olteanu

40 papers receiving 380 citations

Peers

Mădălina Olteanu
Comparison fields: 5 of 116
  • Molecular Biology 118
  • Genetics 69
  • Ecology 52
  • Sociology and Political Science 46
  • Artificial Intelligence 43
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Citations per field
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Citations per year

Countries citing papers authored by Mădălina Olteanu

Since Specialization
Citations

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

Fields of papers citing papers by Mădălina Olteanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mădălina Olteanu

This figure shows the co-authorship network connecting the top 25 collaborators of Mădălina Olteanu. A scholar is included among the top collaborators of Mădălina Olteanu 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 Mădălina Olteanu. Mădălina Olteanu 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 3
3 8
4 15
5 8
6 7
7
Analyzing spatial dissimilarities in high-resolution geo-data : a case study of four European cities.
0
8 1
9
Tuberculosis and its particularities in Romania and worldwide.
14
10
ORTHODONTIC TREATMENT NEEDS IN MIXED DENTITION – FOR CHILDREN OF 6 AND 9 YEARS OLD
5
11 1
12
SOM Bound to Realize Euclidean and Relational Outputs
1
13 1
14
Tuberculosis mesenteric adenopathy and polyserositis.
7
15 128
16
Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime
1
17
Total cardiovascular risk estimation in Romania. Data from the SEPHAR study.
26
18 5
19 2
20 1

About Mădălina Olteanu

Mădălina Olteanu is a scholar working on Anatomy, Infectious Diseases and Signal Processing, having authored 44 papers that have together received 388 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Diagnosis and treatment of tuberculosis (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Urban Studies (17 citations), Transportation (19 citations) and Ecological Modeling (12 citations). Mădălina Olteanu has collaborated with scholars based in France, Romania and United Kingdom. Frequent co-authors include Julien Randon‐Furling, Catherine Larédo, Raphaël Leblois, Kevin Bleakley, Olivier David, Brigitte Schaeffer, Michel Veuille, Frédéric Austerlitz, William A. V. Clark and Nathalie Vialaneix. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and European Respiratory Journal.

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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