G. Ganis

10.5k citations
50 papers · 425 indexed · h-index 11

Impact in

Papers in

G. Ganis

43 papers receiving 411 citations

Peers

G. Ganis
Comparison fields: 5 of 40
  • Nuclear and High Energy Physics 325
  • Astronomy and Astrophysics 150
  • Information Systems and Management 44
  • Computer Networks and Communications 122
  • Radiation 36
Replace Johannes Reetz with:
Johannes Reetz Germany
Paul Sheldon United States
Ph. Charpentier Switzerland
L. Moneta Switzerland
L. Taylor United States
R. Cavanaugh Switzerland
S. Youssef United States
Sridhara Dasu United States
J.M. Le Goff Switzerland
P. Eerola Canada
G. Ganis relative to Johannes Reetz Germany Johannes Reetz's profile →
Citations per field
00.5×10×20×31×
Johannes Reetz · 1×
Citations per year

Countries citing papers authored by G. Ganis

Since Specialization
Citations

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

Fields of papers citing papers by G. Ganis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 202215
5 20225
6 20210
7 20218
8 20210
9 20196
10 201919
11 20181
12 20172
13 20178
14
CERN Services for Long Term Data Preservation.
20162
15 20151
16 20151
17 20140
18 20050
19 200323
20 199889

About G. Ganis

G. Ganis is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Computer Networks and Communications, Information Systems and Management and Radiation, having authored 50 papers that have together received 425 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (29 papers), Advanced Data Storage Technologies (26 papers), Particle physics theoretical and experimental studies (18 papers), Particle Detector Development and Performance (17 papers), Parallel Computing and Optimization Techniques (11 papers), Scientific Computing and Data Management (7 papers), Radiation Detection and Scintillator Technologies (4 papers) and Dark Matter and Cosmic Phenomena (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (325 citations), Astronomy and Astrophysics (150 citations), Information Systems and Management (44 citations), Computer Networks and Communications (122 citations) and Radiation (36 citations). G. Ganis has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Keith A. Olive, Toby Falk, John Ellis, John Ellis, Jakob Blomer, Valentin Völkl, C. Helsens, D.V. Nanopoulos, P. Bunc̆ić and Philippe Canal. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physics Letters B, Computing in Science & Engineering, The European Physical Journal Plus and SHILAP Revista de lepidopterología.

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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