E. Efstathiadis

4.5k total citations
10 papers, 172 citations indexed

About

E. Efstathiadis is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, E. Efstathiadis has authored 10 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Nuclear and High Energy Physics and 2 papers in Artificial Intelligence. Recurrent topics in E. Efstathiadis's work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers) and Machine Learning in Bioinformatics (2 papers). E. Efstathiadis is often cited by papers focused on Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers) and Machine Learning in Bioinformatics (2 papers). E. Efstathiadis collaborates with scholars based in United States, Switzerland and Italy. E. Efstathiadis's co-authors include Alexander Statnikov, Constantin Aliferis, Sébastien Gagneux, J. Ernst, Mireia Coscollá, Richard Copin, Yindalon Aphinyanaphongs, Zhiguo Li, Sisi Ma and Mikael Henaff and has published in prestigious journals such as PLoS ONE, Scientific Reports and Vaccine.

In The Last Decade

E. Efstathiadis

9 papers receiving 166 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Efstathiadis United States 7 44 41 37 29 27 10 172
Yangyang Guo China 11 52 1.2× 11 0.3× 58 1.6× 13 0.4× 6 0.2× 42 306
B Kovács Hungary 11 59 1.3× 41 1.0× 26 0.7× 18 0.6× 52 1.9× 35 293
Dana A. Shea 7 35 0.8× 8 0.2× 6 0.2× 8 0.3× 9 0.3× 35 215
Ashraf Yaseen United States 10 119 2.7× 37 0.9× 35 0.9× 7 0.2× 12 0.4× 33 273
Canhong Wen China 9 38 0.9× 36 0.9× 29 0.8× 4 0.1× 77 2.9× 29 277
Giuseppe Lo Presti Italy 12 14 0.3× 14 0.3× 6 0.2× 9 0.3× 4 0.1× 39 403
Keith R. Pierce United States 10 23 0.5× 7 0.2× 23 0.6× 12 0.4× 45 1.7× 20 273
Thomas Ligon Germany 7 219 5.0× 12 0.3× 10 0.3× 12 0.4× 5 0.2× 10 314

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-authorship network of co-authors of E. Efstathiadis

This figure shows the co-authorship network connecting the top 25 collaborators of E. Efstathiadis. A scholar is included among the top collaborators of E. Efstathiadis 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 E. Efstathiadis. E. Efstathiadis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Statnikov, Alexander, et al.. (2015). Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery. Journal of Machine Learning Research. 16(1). 3219–3267. 11 indexed citations
2.
Copin, Richard, Mireia Coscollá, E. Efstathiadis, Sébastien Gagneux, & J. Ernst. (2014). Impact of in vitro evolution on antigenic diversity of Mycobacterium bovis bacillus Calmette-Guerin (BCG). Vaccine. 32(45). 5998–6004. 46 indexed citations
3.
Ray, Bisakha, Mikael Henaff, Sisi Ma, et al.. (2014). Information content and analysis methods for Multi-Modal High-Throughput Biomedical Data. Scientific Reports. 4(1). 4411–4411. 24 indexed citations
4.
Aphinyanaphongs, Yindalon, et al.. (2014). A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization. Journal of the Association for Information Science and Technology. 65(10). 1964–1987. 39 indexed citations
5.
Mijušković, Martina, Stuart M. Brown, Zuojian Tang, et al.. (2012). A Streamlined Method for Detecting Structural Variants in Cancer Genomes by Short Read Paired-End Sequencing. PLoS ONE. 7(10). e48314–e48314. 17 indexed citations
6.
Gallo, Steven M., et al.. (2010). Collaborative research in a regional grid. 26. 1–11. 1 indexed citations
7.
Semertzidis, Yannis K., G. W. Bennett, E. Efstathiadis, et al.. (2003). The Brookhaven muon (g−2) storage ring high voltage quadrupoles. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 503(3). 458–484. 20 indexed citations
8.
Efstathiadis, E., C. Pai, J. Paley, et al.. (2003). A fast non-ferric kicker for the muon (g−2) experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 496(1). 8–25. 12 indexed citations
9.
Adams, G. S., C.S. Chan, E. Efstathiadis, et al.. (1996). Test of the OZI rule in hadroproduction ofφφandφK+K−. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 53(5). 2839–2842. 2 indexed citations
10.
Efstathiadis, E., et al.. (1994). Strangeness Results from the RANDOM Event Generator for Si on Pb Collisions at 14.5 GeV/c per Nucleon. Prepared for. 131–140.

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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