T. Barvich

6.2k citations
26 papers · 3.2k · 1 hit paper · h-index 9

Impact in

Papers in

T. Barvich

21 papers receiving 2k citations

T. Barvich's Hit Papers

The CMS experiment at the CERN LHC 2008 · 3k citations
3k0+6+12Years since publication5001k1.5k2k2.5k

Peers

T. Barvich
Comparison fields: 5 of 54
  • Nuclear and High Energy Physics 2.9k
  • Computer Networks and Communications 139
  • Hardware and Architecture 43
  • Information Systems and Management 48
  • Radiation 35
Replace D. Deyrail with:
D. Deyrail Switzerland
Y.G. Jeng Italy
A. Conde Garcia Italy
L. Kottelat Switzerland
H. Steininger Switzerland
P. Steck Switzerland
C. Cassese Italy
Philippe Venault France
J. F. Pernot Switzerland
F. Boegelspacher Switzerland
T. Barvich relative to D. Deyrail Switzerland D. Deyrail's profile →
Citations per field
00.5×1.5×
D. Deyrail · 1×
Citations per year

Countries citing papers authored by T. Barvich

Since Specialization
Citations

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

Fields of papers citing papers by T. Barvich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside T. Barvich, 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. Barvich Line = papers co-authored together T. Barvich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The CMS experiment at the CERN LHC
Hit paper breakdown →
20082963
2 202160
3 201729
4 201328
5 201815
6 202012
7 202112
8 201610
9 20059
10 20218
11 20207
12 20176
13 20185
14 20024
15 20174
16 20013
17 20193
18 20232
19 20021
20 20101

About T. Barvich

T. Barvich is a scholar working on Nuclear and High Energy Physics, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 26 papers that have together received 3.2k indexed citations. Recurring topics across this work include Particle Detector Development and Performance (26 papers). The work is most often cited by research in Nuclear and High Energy Physics (2.9k citations), Computer Networks and Communications (139 citations), Hardware and Architecture (43 citations), Information Systems and Management (48 citations) and Radiation (35 citations). T. Barvich has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Manuel Fahrer, Stefan Maier, F. Wittig, K. Kärcher, F. Röderer, Alexander Dierlamm, R. Koppenhöfer, Martin Erdmann, Th. Weiler and Hans Jürgen Simonis. Their work appears in journals such as Journal of Instrumentation, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, The European Physical Journal C and Use Siena air (University of Siena).

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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