László Viharos

420 citations
7 papers · 212 · h-index 5

Impact in

Papers in

    • Statistical Distribution Estimation and Applications 4
    • Statistical Methods and Inference 2
    • Financial Risk and Volatility Modeling 4

László Viharos

7 papers receiving 202 citations

Peers

László Viharos
Comparison fields: 5 of 57
  • Radiology, Nuclear Medicine and Imaging 123
  • Statistics and Probability 29
  • Finance 29
  • Rheumatology 42
  • Complementary and Manual Therapy 5
Replace Andreas Andresen with:
Andreas Andresen Denmark
Amir Jamaludin United Kingdom
Ori Hay Israel
Jean-Baptiste Schiratti France
Swati Goyal India
Andrea Cina Italy
Willem Paul Gielis Netherlands
Alexander Rohrmeier Germany
David Thayer United States
Matthias Boschheidgen Germany
László Viharos relative to Andreas Andresen Denmark Andreas Andresen's profile →
Citations per field
00.5×10×14.5×
Andreas Andresen · 1×
Citations per year

Countries citing papers authored by László Viharos

Since Specialization
Citations

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

Fields of papers citing papers by László Viharos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside László Viharos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with László Viharos Line = papers co-authored together László Viharos links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About László Viharos

László Viharos is a scholar working on Statistics and Probability, Finance, Management Science and Operations Research, Surgery and Otorhinolaryngology, having authored 7 papers that have together received 212 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (4 papers), Statistical Distribution Estimation and Applications (4 papers), Statistical Methods and Inference (2 papers), Probability and Risk Models (2 papers), Hydrology and Drought Analysis (1 paper), Fatigue and fracture mechanics (1 paper), Bee Products Chemical Analysis (1 paper) and Facial Nerve Paralysis Treatment and Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (123 citations), Statistics and Probability (29 citations), Finance (29 citations), Rheumatology (42 citations) and Complementary and Manual Therapy (5 citations). László Viharos has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Béla Hegedüs, Márta Gálfi, Sándor Csörgő, József Jóri, Brian F. OʼReilly and László Rovó. Their work appears in journals such as Journal of Statistical Planning and Inference, Bernoulli, Clinical Otolaryngology, Mathematical Proceedings of the Cambridge Philosophical Society and Journal of Computational and Applied Mathematics.

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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