E. Efstathiadis

4.5k citations
10 papers · 172 indexed · h-index 7

Impact in

Papers in

E. Efstathiadis

9 papers receiving 166 citations

Peers

E. Efstathiadis
Comparison fields: 5 of 70
  • Infectious Diseases 41
  • Nuclear and High Energy Physics 25
  • Immunology 29
  • Biological Psychiatry 3
  • Artificial Intelligence 37
Replace Thomas Ligon with:
Thomas Ligon Germany
Dana A. Shea
Yangyang Guo China
Giuseppe Lo Presti Italy
Canhong Wen China
Ravishankar R. Vallabhajosyula United States
Jiaxuan Zhang China
J. Zhu United States
E. Efstathiadis relative to Thomas Ligon Germany Thomas Ligon's profile →
Citations per field
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Citations per year

Countries citing papers authored by E. Efstathiadis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

10 of 10 papers shown
#Work
1 201446
2 201439
3 201424
4 200320
5 201217
6 200312
7 201511
8 19962
9 20101
10
Strangeness Results from the RANDOM Event Generator for Si on Pb Collisions at 14.5 GeV/c per Nucleon
19940

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 172 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers), Machine Learning in Bioinformatics (2 papers), Particle Accelerators and Free-Electron Lasers (2 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (1 paper), Muon and positron interactions and applications (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Infectious Diseases (41 citations), Nuclear and High Energy Physics (25 citations), Immunology (29 citations), Biological Psychiatry (3 citations) and Artificial Intelligence (37 citations). E. Efstathiadis has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Constantin Aliferis, Alexander Statnikov, Richard Copin, J. Ernst, Mireia Coscollá, Sébastien Gagneux, Yindalon Aphinyanaphongs, Zhiguo Li, 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, Scientific Reports, Vaccine, Journal of Machine Learning Research and PLoS ONE.

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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