Daniel Prelipcean

508 citations
10 papers · 28 · h-index 4

Impact in

    • Radiation Detection and Scintillator Technologies
    • Nuclear Physics and Applications
    • Particle Detector Development and Performance
    • Nuclear physics research studies

Papers in

Daniel Prelipcean

7 papers receiving 28 citations

Peers

Daniel Prelipcean
Comparison fields: 5 of 11
  • Radiation 12
  • Nuclear and High Energy Physics 12
  • Hardware and Architecture 3
  • Pulmonary and Respiratory Medicine 11
  • Electrical and Electronic Engineering 20
Replace M. R. Jaekel with:
M. R. Jaekel Switzerland
R. Kwee Switzerland
G. Guidoboni Austria
H. G. Wilkens Switzerland
B. Di Ruzza Italy
А. Исаков Czechia
F. M. Pitters Austria
E. Alagöz United States
Daniel Levin United States
L. Capasso Italy
Daniel Prelipcean relative to M. R. Jaekel Switzerland M. R. Jaekel's profile →
Citations per field
00.5×3.3×
M. R. Jaekel · 1×
Citations per year

Countries citing papers authored by Daniel Prelipcean

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Prelipcean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Prelipcean, 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 Daniel Prelipcean Line = papers co-authored together Daniel Prelipcean links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202211
2 20215
3 20224
4 20214
5 20242
6 20241
7 20191
8 20240
9 20240
10 20200

About Daniel Prelipcean

Daniel Prelipcean is a scholar working on Nuclear and High Energy Physics, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Radiation and Computer Networks and Communications, having authored 10 papers that have together received 28 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (6 papers), Radiation Therapy and Dosimetry (5 papers), Radiation Effects in Electronics (5 papers), Radiation Detection and Scintillator Technologies (4 papers), Scientific Computing and Data Management (1 paper), Distributed and Parallel Computing Systems (1 paper), Particle physics theoretical and experimental studies (1 paper) and Ion-surface interactions and analysis (1 paper). The work is most often cited by research in Radiation (12 citations), Nuclear and High Energy Physics (12 citations), Hardware and Architecture (3 citations), Pulmonary and Respiratory Medicine (11 citations) and Electrical and Electronic Engineering (20 citations). Daniel Prelipcean has collaborated with scholars based in Switzerland, Spain and Germany. Frequent co-authors include Giuseppe Lerner, Rubén García Alía, Kacper Biłko, Salvatore Danzeca, M. Sabaté-Gilarte, Matteo Brucoli, Carlo Cazzaniga, J. Trummer, Matteo Cecchetto and Andrea Coronetti. Their work appears in journals such as IEEE Transactions on Nuclear Science, Applied Sciences, Physical Review Accelerators and Beams, CERN Document Server (European Organization for Nuclear Research) and EPJ Web of Conferences.

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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