G. Unal

110.4k citations
7 papers · 44 indexed · h-index 3
Co-authors
Damir LelasHai-Liang MaS. LaplaceD. RousseauP. LochSrini RajagopalanS. SnyderW. Lampl
Journals
Journal of Physics Conference Series (1 paper)CERN Bulletin (1 paper)Nuclear Physics B - Proceedings Supplements (3 papers)

In The Last Decade

G. Unal

5 papers receiving 30 citations

Peers

G. Unal
Comparison fields: 5 of 13
  • Nuclear and High Energy Physics 43
  • Astronomy and Astrophysics 4
  • History and Philosophy of Science 1
  • Information Systems and Management 1
  • Artificial Intelligence 4
Replace F. Di Lodovico with:
F. Di Lodovico United Kingdom
A. S. Turcot United States
A. Drozdetskiy United States
Damir Lelas Croatia
S. Ferrag Switzerland
İ. Türk Çakır Türkiye
W. Lampl Switzerland
P. Rieck Germany
L. Y. Shan China
T. Lungov Brazil
G. Unal relative to F. Di Lodovico United Kingdom F. Di Lodovico's profile →
Citations per field
00.5×3.5×
F. Di Lodovico · 1×
Citations per year

Countries citing papers authored by G. Unal

Since Specialization
Citations

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

Fields of papers citing papers by G. Unal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside G. Unal, 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 G. Unal Line = papers co-authored together G. Unal links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Recommendations for the Modeling of Smooth Backgrounds
20212
2 20120
3
Calorimeter Clustering Algorithms : Description and Performance
200836
4 20031
5 20010
6
Performances of the NA48 liquid krypton calorimeter
20002
7 19953

About G. Unal

G. Unal is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Infectious Diseases, having authored 7 papers that have together received 44 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (7 papers), Dark Matter and Cosmic Phenomena (3 papers), Particle Detector Development and Performance (3 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Atomic and Subatomic Physics Research (1 paper), Distributed and Parallel Computing Systems (1 paper), High-Energy Particle Collisions Research (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (43 citations), Astronomy and Astrophysics (4 citations), History and Philosophy of Science (1 citation), Information Systems and Management (1 citation) and Artificial Intelligence (4 citations). G. Unal has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Damir Lelas, Hai-Liang Ma, S. Laplace, D. Rousseau, P. Loch, Srini Rajagopalan, S. Snyder, W. Lampl, S. Menke and J. Firmino da Costa. Their work appears in journals such as Journal of Physics Conference Series, CERN Bulletin, Nuclear Physics B - Proceedings Supplements and CERN Document Server (European Organization for Nuclear Research).

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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