Home › Researcher directory › E. De Sanctis
E. De Sanctis
Affiliation : Fairfield University · Virginia Tech
- 2Publications (affiliation in Italy)
- 557Total publications
- 21176Citations
- 77h-index
Research profile
E. De Sanctis has 2 indexed publications (2017–2018). Their work appears mainly in “Physics Letters B” and “Physical Review C”. Their most cited article, “Measurement of the helicity asymmetry E in ω → π + π − π 0 photoproduction” (2017), has been cited 25 times. Their work is co-authored with at least 12 researchers, including institutions in United States, France, Russia, United Kingdom.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsResearch areas
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- Nuclear physics research studies
- High-Energy Particle Collisions Research
- Atomic and Molecular Physics
Publications (2)
- Semi-inclusive π0 target and beam-target asymmetries from 6 GeV electron scattering with CLAS
- Measurement of the helicity asymmetry E in ω → π + π − π 0 photoproduction
Publication venues
- Physics Letters B × 1
- Physical Review C × 1
Publications per year
- 20181
- 20171
Collaborations
Partner institutions : Thomas Jefferson National Accelerator Facility · Istituto Nazionale di Fisica Nucleare, Sezione di Genova · University of South Carolina · William & Mary · Temple University
Co-authors’ countries : United States · France · Russia · United Kingdom
Co-authors
- S. Anefalos Pereira
- R. DE VITA
- A. Filippi
- M. Contalbrigo
- Lucilla Lanza
- G. Ciullo
- A. Celentano
- Annalisa D'Angelo
- M. Battaglieri
- G. Khachatryan
- G. Ddoge
- T. A. Forest
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.