E. Efstathiadis
Impact in
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- Tuberculosis Research and Epidemiology
Papers in
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- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 2
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- Particle physics theoretical and experimental studies 3
- High-Energy Particle Collisions Research 2
- Co-authors
- Alexander Statnikov (3 shared papers)Constantin Aliferis (3 shared papers)J. Ernst (1 shared paper)Richard Copin (1 shared paper)Mireia Coscollá (1 shared paper)Sébastien Gagneux (1 shared paper)Zhiguo Li (1 shared paper)Yindalon Aphinyanaphongs (1 shared paper)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2 papers)Vaccine (1 paper)Scientific Reports (1 paper)Journal of the Association for Information Science and Technology (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
E. Efstathiadis
9 papers receiving 191 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 5
- Infectious Diseases 39
- Nuclear and High Energy Physics 25
- Artificial Intelligence 56
- Health Information Management 7
Countries citing papers authored by E. Efstathiadis
This map shows the geographic impact of E. Efstathiadis'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 E. Efstathiadis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Efstathiadis more than expected).
Fields of papers citing papers by E. Efstathiadis
This network shows the impact of papers produced by E. Efstathiadis. 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 E. Efstathiadis. The network helps show where E. Efstathiadis may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Efstathiadis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 49 | |
| 2 | 2014 | 48 | |
| 3 | 2014 | 29 | |
| 4 | 2003 | 20 | |
| 5 | 2012 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2003 | 12 | |
| 8 | 1996 | 2 | |
| 9 | 2010 | 1 | |
| 10 | Strangeness Results from the RANDOM Event Generator for Si on Pb Collisions at 14.5 GeV/c per Nucleon | 1994 | 0 |
About E. Efstathiadis
E. Efstathiadis is a scholar working on Molecular Biology, Nuclear and High Energy Physics, Artificial Intelligence, Electrical and Electronic Engineering and Infectious Diseases, having authored 10 papers that have together received 200 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Gene expression and cancer classification (2 papers), Particle Accelerators and Free-Electron Lasers (2 papers), High-Energy Particle Collisions Research (2 papers), Machine Learning in Bioinformatics (2 papers), Tuberculosis Research and Epidemiology (1 paper), Cancer Genomics and Diagnostics (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Health Informatics (5 citations), Infectious Diseases (39 citations), Nuclear and High Energy Physics (25 citations), Artificial Intelligence (56 citations) and Health Information Management (7 citations). E. Efstathiadis has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Alexander Statnikov, Constantin Aliferis, J. Ernst, Richard Copin, Mireia Coscollá, Sébastien Gagneux, Zhiguo Li, Yindalon Aphinyanaphongs, Sisi Ma and Mikael Henaff. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Vaccine, Scientific Reports, Journal of the Association for Information Science and Technology and Journal of Machine Learning Research.
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.