Eric Metodiev

1.4k citations
18 papers · 606 indexed · h-index 10

Eric Metodiev

17 papers receiving 597 citations

Peers

Eric Metodiev
Comparison fields: 5 of 50
  • Nuclear and High Energy Physics 436
  • Artificial Intelligence 248
  • Atomic and Molecular Physics, and Optics 103
  • Information Systems and Management 17
  • Astronomy and Astrophysics 28
Replace Patrick Komiske with:
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Citations per field
00.5×4.7×
Patrick Komiske · 1×
Citations per year

Countries citing papers authored by Eric Metodiev

Since Specialization
Citations

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

Fields of papers citing papers by Eric Metodiev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Eric Metodiev, 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 Eric Metodiev Line = papers co-authored together Eric Metodiev links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20242
2 20236
3 202034
4 202076
5 202012
6 201964
7
Learning to Classify from Impure Samples
20188
8 201852
9 201847
10 20182
11 201763
12 2017127
13 201695
14 20161
15
Unstructured quantum key distribution
20151
16 20157
17
Fringe E-Fields of Flat and Cylindrical Deflectors in Electrostatic Charged Particle Storage Rings
20140
18 20149

About Eric Metodiev

Eric Metodiev is a scholar working on Nuclear and High Energy Physics, Information Systems and Management, Surfaces, Coatings and Films, Artificial Intelligence and Condensed Matter Physics, having authored 18 papers that have together received 606 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (11 papers), High-Energy Particle Collisions Research (9 papers), Particle Detector Development and Performance (6 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Quantum Mechanics and Applications (2 papers), Quantum Information and Cryptography (2 papers), Gaussian Processes and Bayesian Inference (1 paper) and Magnetic confinement fusion research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (436 citations), Artificial Intelligence (248 citations), Atomic and Molecular Physics, and Optics (103 citations), Information Systems and Management (17 citations) and Astronomy and Astrophysics (28 citations). Eric Metodiev has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Jesse Thaler, Benjamin Nachman, Patrick Komiske, Patrick J. Coles, Norbert Lütkenhaus, Matthew D. Schwartz, Anders Andreassen, P. Naik, Yannis K. Semertzidis and Ke-xue Huang. Their work appears in journals such as Physical review. D, Physical Review Letters, Journal of High Energy Physics, Nature Communications and Physical Review Special Topics - Accelerators and Beams.

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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