T. Barrass

10.2k citations
8 papers · 16 indexed · h-index 3

Impact in

Papers in

T. Barrass

7 papers receiving 15 citations

Peers

T. Barrass
Comparison fields: 5 of 6
  • Nuclear and High Energy Physics 8
  • Computer Networks and Communications 11
  • Hardware and Architecture 3
  • Information Systems and Management 3
  • Radiation 2
Replace H. Severini with:
H. Severini United States
C. Vuosalo United States
Szymon Gadomski Switzerland
A. A. Minaenko Switzerland
Daniel Smith Italy
S Cherukuwada Switzerland
M. Rama Italy
Armando Fella Italy
E. Badescu Switzerland
G. Watts United States
T. Barrass relative to H. Severini United States H. Severini's profile →
Citations per field
00.5×1.5×
H. Severini · 1×
Citations per year

Countries citing papers authored by T. Barrass

Since Specialization
Citations

This map shows the geographic impact of T. Barrass'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 T. Barrass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Barrass more than expected).

Fields of papers citing papers by T. Barrass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
CMS Computing: Technical Design Report
20054
2 20054
3 20052
4 20052
5 20052
6 20051
7
The CMS PhEDEx system a novel approach to robust GRID data management
20071
8 20050

About T. Barrass

T. Barrass is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Instrumentation, Hardware and Architecture and Electrical and Electronic Engineering, having authored 8 papers that have together received 16 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Advanced Data Storage Technologies (4 papers), Particle Detector Development and Performance (4 papers), Distributed systems and fault tolerance (2 papers), Particle physics theoretical and experimental studies (2 papers), Parallel Computing and Optimization Techniques (1 paper), Astronomy and Astrophysical Research (1 paper) and Advancements in Semiconductor Devices and Circuit Design (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (8 citations), Computer Networks and Communications (11 citations), Hardware and Architecture (3 citations), Information Systems and Management (3 citations) and Radiation (2 citations). T. Barrass has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include I. Papadopoulos, D. Düllmann, Jakub Mościcki, K. Karr, M. Girone, G. Govi, Carmela Cioffi, R Chytracek, A. Vaniachine and M. Frank. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, Bristol Research (University of Bristol), IEEE Symposium Conference Record Nuclear Science 2004. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026