P. Calafiura

115.7k total citations
37 papers, 240 citations indexed

About

P. Calafiura is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Hardware and Architecture. According to data from OpenAlex, P. Calafiura has authored 37 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 21 papers in Nuclear and High Energy Physics and 10 papers in Hardware and Architecture. Recurrent topics in P. Calafiura's work include Distributed and Parallel Computing Systems (23 papers), Particle Detector Development and Performance (20 papers) and Advanced Data Storage Technologies (17 papers). P. Calafiura is often cited by papers focused on Distributed and Parallel Computing Systems (23 papers), Particle Detector Development and Performance (20 papers) and Advanced Data Storage Technologies (17 papers). P. Calafiura collaborates with scholars based in United States, Switzerland and United Kingdom. P. Calafiura's co-authors include P. van Gemmeren, V. Tsulaia, I. Shapoval, K. Terao, C. Leggett, Steven Farrell, W. Lavrijsen, S. Snyder, T. Maeno and P. Nilsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

P. Calafiura

35 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Calafiura United States 10 128 122 45 41 37 37 240
Jim Kowalkowski United States 8 87 0.7× 82 0.7× 47 1.0× 40 1.0× 24 0.6× 41 206
Philippe Canal United States 7 96 0.8× 54 0.4× 25 0.6× 36 0.9× 35 0.9× 42 152
P. Mató Switzerland 7 121 0.9× 170 1.4× 16 0.4× 30 0.7× 39 1.1× 20 258
P. Vande Vyvre Switzerland 8 126 1.0× 151 1.2× 14 0.3× 28 0.7× 16 0.4× 43 209
G. A. Stewart Switzerland 9 234 1.8× 98 0.8× 15 0.3× 109 2.7× 24 0.6× 49 310
L. Gerhardt United States 6 77 0.6× 60 0.5× 28 0.6× 40 1.0× 13 0.4× 15 178
Pere Mato Switzerland 10 207 1.6× 149 1.2× 17 0.4× 83 2.0× 43 1.2× 28 325
Marcin Płóciennik Poland 7 103 0.8× 120 1.0× 11 0.2× 61 1.5× 7 0.2× 33 232
M. Frank Switzerland 7 84 0.7× 162 1.3× 8 0.2× 21 0.5× 16 0.4× 54 210
Niko Neufeld Switzerland 9 193 1.5× 213 1.7× 8 0.2× 17 0.4× 50 1.4× 78 304

Countries citing papers authored by P. Calafiura

Since Specialization
Citations

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

Fields of papers citing papers by P. Calafiura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Calafiura

This figure shows the co-authorship network connecting the top 25 collaborators of P. Calafiura. A scholar is included among the top collaborators of P. Calafiura 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 P. Calafiura. P. Calafiura 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.
Calafiura, P., et al.. (2024). Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain. SHILAP Revista de lepidopterología. 295. 3030–3030. 2 indexed citations
2.
Calafiura, P., et al.. (2024). Towards a distributed heterogeneous task scheduler for the ATLAS offline software framework. SHILAP Revista de lepidopterología. 295. 3041–3041.
3.
Aurisano, A., G. B. Cerati, Jim Kowalkowski, et al.. (2021). Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers. SHILAP Revista de lepidopterología. 251. 3054–3054. 7 indexed citations
4.
Calafiura, P., et al.. (2020). Artificial Intelligence for High Energy Physics. WORLD SCIENTIFIC eBooks. 21 indexed citations
5.
Shapoval, I. & P. Calafiura. (2019). Quantum Associative Memory in Hep Track Pattern Recognition. Springer Link (Chiba Institute of Technology). 15 indexed citations
6.
Kiehn, M., P. Calafiura, Steven Farrell, et al.. (2019). The TrackML high-energy physics tracking challenge on Kaggle. SHILAP Revista de lepidopterología. 214. 6037–6037. 4 indexed citations
7.
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
8.
Tsaris, Aristeidis, Dustin Anderson, J. Bendavid, et al.. (2018). The HEP.TrkX Project: Deep Learning for Particle Tracking. Journal of Physics Conference Series. 1085. 42023–42023. 12 indexed citations
9.
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
10.
Farrell, Steven, Dustin Anderson, P. Calafiura, et al.. (2017). The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking. SHILAP Revista de lepidopterología. 150. 3–3. 22 indexed citations
11.
Leggett, C., J. T. Baines, T. Bołd, et al.. (2017). AthenaMT: upgrading the ATLAS software framework for the many-core world with multi-threading. Journal of Physics Conference Series. 898. 42009–42009. 11 indexed citations
12.
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
13.
Calafiura, P., W. Lampl, C. Leggett, et al.. (2015). Development of a Next Generation Concurrent Framework for the ATLAS Experiment. Journal of Physics Conference Series. 664(7). 72031–72031. 6 indexed citations
14.
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
15.
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
16.
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
17.
Calafiura, P., et al.. (2012). GOoDA: The Generic Optimization Data Analyzer. Journal of Physics Conference Series. 396(5). 52072–52072. 4 indexed citations
18.
Calafiura, P., et al.. (2005). The Athena Control Framework in Production, New Developments and Lessons Learned. CERN Document Server (European Organization for Nuclear Research). 13 indexed citations
19.
Calafiura, P., et al.. (2003). The StoreGate: a Data Model for the Atlas Software Architecture. CERN Document Server (European Organization for Nuclear Research). 522–525. 5 indexed citations
20.
Bertolotto, L., J. Apostolakis, Claudio Bruschini, et al.. (1994). Feasibility studies for a high energy physics MC program on massive parallel platforms. CERN Bulletin. 374–377. 1 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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