V. Tsulaia

6.6k total citations
28 papers, 121 citations indexed

About

V. Tsulaia is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems and Management. According to data from OpenAlex, V. Tsulaia has authored 28 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 18 papers in Nuclear and High Energy Physics and 8 papers in Information Systems and Management. Recurrent topics in V. Tsulaia's work include Distributed and Parallel Computing Systems (21 papers), Particle Detector Development and Performance (16 papers) and Particle physics theoretical and experimental studies (11 papers). V. Tsulaia is often cited by papers focused on Distributed and Parallel Computing Systems (21 papers), Particle Detector Development and Performance (16 papers) and Particle physics theoretical and experimental studies (11 papers). V. Tsulaia collaborates with scholars based in United States, Switzerland and Italy. V. Tsulaia's co-authors include P. Calafiura, P. van Gemmeren, W. Guan, J. Boudreau, T. Maeno, T. Wenaus, S. Panitkin, A. Dell’Acqua, M. V. Gallas and P. Nilsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics of Atomic Nuclei and Journal of Physics Conference Series.

In The Last Decade

V. Tsulaia

24 papers receiving 115 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. Tsulaia United States 7 88 64 36 22 9 28 121
T. Boccali Italy 6 79 0.9× 37 0.6× 24 0.7× 20 0.9× 13 1.4× 37 106
M. Bargiotti Italy 4 81 0.9× 68 1.1× 41 1.1× 12 0.5× 18 2.0× 6 138
S. Roiser Switzerland 6 56 0.6× 52 0.8× 19 0.5× 18 0.8× 10 1.1× 25 93
L. Tuura United States 6 114 1.3× 66 1.0× 40 1.1× 26 1.2× 12 1.3× 23 139
Carmela Cioffi Switzerland 3 80 0.9× 35 0.5× 38 1.1× 12 0.5× 18 2.0× 9 101
M. Giffels Germany 6 77 0.9× 34 0.5× 35 1.0× 24 1.1× 10 1.1× 31 96
A. Vaniachine United States 6 86 1.0× 31 0.5× 35 1.0× 21 1.0× 13 1.4× 16 100
G Kuznetsov France 3 86 1.0× 34 0.5× 43 1.2× 13 0.6× 19 2.1× 4 103
G Castellani Switzerland 2 75 0.9× 28 0.4× 37 1.0× 13 0.6× 19 2.1× 4 93
J. Elmsheuser Switzerland 7 111 1.3× 39 0.6× 64 1.8× 12 0.5× 17 1.9× 32 131

Countries citing papers authored by V. Tsulaia

Since Specialization
Citations

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

Fields of papers citing papers by V. Tsulaia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Tsulaia

This figure shows the co-authorship network connecting the top 25 collaborators of V. Tsulaia. A scholar is included among the top collaborators of V. Tsulaia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with V. Tsulaia. V. Tsulaia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Leggett, C., et al.. (2024). Porting ATLAS Fast Calorimeter Simulation to GPUs with Performance Portable Programming Models. SHILAP Revista de lepidopterología. 295. 11018–11018.
2.
Bandieramonte, M., R. M. Bianchi, J. Boudreau, A. Dell’Acqua, & V. Tsulaia. (2023). The new GeoModel suite, a lightweight detector description and visualization toolkit for HEP. Journal of Physics Conference Series. 2438(1). 12051–12051.
3.
Bandieramonte, M., R. M. Bianchi, J. Boudreau, A. Dell’Acqua, & V. Tsulaia. (2021). The GeoModel tool suite for detector description. SHILAP Revista de lepidopterología. 251. 3007–3007. 2 indexed citations
4.
Guan, W., T. Maeno, Brian Bockelman, et al.. (2020). Towards an Intelligent Data Delivery Service. Springer Link (Chiba Institute of Technology). 2 indexed citations
5.
Girolamo, A. Di, W. Guan, M. Lassnig, et al.. (2019). Towards an Event Streaming Service for ATLAS data processing. SHILAP Revista de lepidopterología. 214. 4034–4034. 3 indexed citations
6.
Torregrosa, E. Fullana, P. Calafiura, J. T. Childers, et al.. (2019). Grid production with the ATLAS Event Service. SHILAP Revista de lepidopterología. 214. 4016–4016. 2 indexed citations
7.
Bianchi, R. M., J. Boudreau, P. Gessinger-Befurt, et al.. (2019). Going standalone and platform-independent, an example from recent work on the ATLAS Detector Description and interactive data visualization. SHILAP Revista de lepidopterología. 214. 2035–2035. 1 indexed citations
8.
Farrell, Steven, P. Calafiura, C. Leggett, V. Tsulaia, & A. Dotti. (2017). Multi-threaded ATLAS simulation on Intel Knights Landing processors. Journal of Physics Conference Series. 898. 42012–42012. 3 indexed citations
9.
Cameron, David, A. Filipčič, W. Guan, et al.. (2017). Exploiting opportunistic resources for ATLAS with ARC CE and the Event Service. Journal of Physics Conference Series. 898. 52010–52010. 6 indexed citations
10.
Calafiura, P., J. T. Childers, K. De, et al.. (2017). Production experience with the ATLAS Event Service. Journal of Physics Conference Series. 898. 62002–62002. 2 indexed citations
11.
Caballero, José Manuel Rodríguez, M. Ernst, W. Guan, et al.. (2016). Scaling up ATLAS Event Service to production levels on opportunistic computing platforms. Journal of Physics Conference Series. 762. 12027–12027. 2 indexed citations
12.
Calafiura, P., K. De, W. Guan, et al.. (2015). Fine grained event processing on HPCs with the ATLAS Yoda system. Journal of Physics Conference Series. 664(9). 92025–92025. 10 indexed citations
13.
Seuster, R., M. Elsing, G. A. Stewart, & V. Tsulaia. (2015). Status and Future Evolution of the ATLAS Offline Software. Journal of Physics Conference Series. 664(7). 72044–72044. 3 indexed citations
14.
Calafiura, P., K. De, W. Guan, et al.. (2015). The ATLAS Event Service: A new approach to event processing. Journal of Physics Conference Series. 664(6). 62065–62065. 19 indexed citations
15.
Calafiura, P., et al.. (2015). Running ATLAS workloads within massively parallel distributed applications using Athena Multi-Process framework (AthenaMP). Journal of Physics Conference Series. 664(7). 72050–72050. 13 indexed citations
16.
Barberio, E. L., J. Boudreau, B. Butler, et al.. (2008). Fast shower simulation in the ATLAS calorimeter. Journal of Physics Conference Series. 119(3). 32008–32008. 5 indexed citations
17.
Barberio, E. L., J. Boudreau, B. Butler, et al.. (2008). THE GEANT4-BASED ATLAS FAST ELECTROMAGNETIC SHOWER SIMULATION. Astroparticle, Particle and Space Physics, Detectors and Medical Physics Applications. 802–806. 4 indexed citations
18.
Rimoldi, A., A. Dell’Acqua, A. Di Simone, et al.. (2006). ATLAS DETECTOR SIMULATION: STATUS AND OUTLOOK. Astroparticle, Particle and Space Physics, Detectors and Medical Physics Applications. 551–555. 3 indexed citations
19.
Gallas, M. V., A. Rimoldi, A. Dell’Acqua, et al.. (2006). ATLAS Detector Simulation: Status and OutLook. 2. 990–994. 3 indexed citations
20.
Assamagan, K., et al.. (2005). The Description of the Atlas Detector. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations

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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