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Researcher · Obuda University · Hungary

Melánia Puskás

Melánia Puskás publishes mostly in Modeling and Simulation, Radiology, Nuclear Medicine and Imaging and Molecular Biology, on topics such as Mathematical Biology Tumor Growth, Radiomics and Machine Learning in Medical Imaging and Gene Regulatory Network Analysis.

ORCID 0009-0003-9694-6553 OpenAlex
World rank
#6,268,188
of 7,710,434 ranked researchers
Rank in Hungary
#17,944
of 25,218
Works
30
Citations
171
Citations per work
5.7
h-index
9
i10-index 6Top 58% in Modeling and Simulation
Melánia Puskás

What does Melánia Puskás research?

Melánia Puskás's work is mostly in Mathematics (26%), Medicine (23%), Biochemistry, Genetics and Molecular Biology (9%).

Physical Sciences: 12 works · 40.1% of their workMathematics: 8 works · 26.2% of their workModeling and Simulation: 8 works · 26.2% of their workEngineering: 2 works · 7.7% of their workControl and Systems Engineering: 2 works · 7.7% of their workComputer Science: 2 works · 6.2% of their workComputational Theory and Mathematics: 2 works · 6.2% of their workEverything else: 8 works · 27.6% of their workHealth Sciences: 7 works · 23.1% of their workMedicine: 7 works · 23.1% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 15.4% of their workOncology: 2 works · 7.7% of their workLife Sciences: 3 works · 9.2% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 9.2% of their workMolecular Biology: 3 works · 9.2% of their workTHEIR WORKMelánia Puskás30works
Life Sciences9%Physical Sciences40%Health Sciences23%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Mathematics826.2%
    2. Engineering27.7%
    3. Computer Science26.2%
  2. Everything else827.6%
    1. Medicine723.1%
    1. Biochemistry, Genetics and Molecular Biology39.2%
  1. 1Modeling and Simulation26% of their works
  2. 2Radiology, Nuclear Medicine and Imaging15% of their works
  3. 3Molecular Biology9% of their works
  4. 4Oncology8% of their works
  5. 5Control and Systems Engineering8% of their works
  6. 6Computational Theory and Mathematics6% of their works

Research topics

Which keywords describe Melánia Puskás's research?

The keywords of their largest research topics: Cancer Growth, Mathematical Modeling, Machine Learning, Medical Imaging, Radiomics, Gene Regulatory Networks, Imaging and PET/CT.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Cancer Growth171 topic
  2. Mathematical Modeling171 topic
  3. Machine Learning82 topics
  4. Medical Imaging61 topic
  5. Radiomics61 topic
  6. Gene Regulatory Networks41 topic
  7. Imaging41 topic
  8. PET/CT41 topic
  9. Stochastic Gene Expression41 topic
  10. Cancer Genomics31 topic
  11. Cancer Stem Cells31 topic
  12. Mutational Signatures31 topic
  13. Tumor Metastasis31 topic
  14. Evolutionary Algorithms21 topic
  15. Molecular Docking21 topic
  16. Multiobjective Optimization21 topic
  17. Virtual Screening21 topic

Where does Melánia Puskás work?

Melánia Puskás's main affiliation in the publication record is Obuda University, Hungary.

How many publications and citations does Melánia Puskás have?

OpenAlex counts 30 works and 171 citations for Melánia Puskás, an h-index of 9, ranking #6,268,188 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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