M. Clemencic

29.2k total citations
22 papers, 194 citations indexed

About

M. Clemencic is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, M. Clemencic has authored 22 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 12 papers in Computer Networks and Communications and 4 papers in Information Systems and Management. Recurrent topics in M. Clemencic's work include Particle physics theoretical and experimental studies (14 papers), Distributed and Parallel Computing Systems (12 papers) and Particle Detector Development and Performance (12 papers). M. Clemencic is often cited by papers focused on Particle physics theoretical and experimental studies (14 papers), Distributed and Parallel Computing Systems (12 papers) and Particle Detector Development and Performance (12 papers). M. Clemencic collaborates with scholars based in Switzerland, United Kingdom and Germany. M. Clemencic's co-authors include G. Corti, R. L. Jones, S. Easo, S. Miglioranzi, P. Robbe, M. Pappagallo, Pere Mato, A. Valassi, M. Cattaneo and H. Degaudenzi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and The European Physical Journal C.

In The Last Decade

M. Clemencic

18 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Clemencic Switzerland 7 166 56 17 14 8 22 194
G. Gracia Spain 2 113 0.7× 69 1.2× 13 0.8× 16 1.1× 5 0.6× 7 146
M. Frank Switzerland 3 117 0.7× 73 1.3× 15 0.9× 16 1.1× 5 0.6× 5 150
E. van Herwijnen Switzerland 4 136 0.8× 88 1.6× 18 1.1× 17 1.2× 8 1.0× 10 173
Guy Barrand France 5 134 0.8× 77 1.4× 19 1.1× 31 2.2× 16 2.0× 11 184
P. Binko Switzerland 2 113 0.7× 70 1.3× 15 0.9× 16 1.1× 5 0.6× 2 144
F. Ranjard Switzerland 5 140 0.8× 75 1.3× 17 1.0× 33 2.4× 12 1.5× 7 179
F. Carena Switzerland 6 64 0.4× 49 0.9× 17 1.0× 14 1.0× 5 0.6× 21 98
F. Legger Germany 7 90 0.5× 57 1.0× 28 1.6× 24 1.7× 2 0.3× 28 137
V. Hedberg Sweden 5 76 0.5× 32 0.6× 9 0.5× 34 2.4× 4 0.5× 14 103
B. P. Kerševan Germany 8 129 0.8× 29 0.5× 11 0.6× 10 0.7× 2 0.3× 28 153

Countries citing papers authored by M. Clemencic

Since Specialization
Citations

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

Fields of papers citing papers by M. Clemencic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Clemencic

This figure shows the co-authorship network connecting the top 25 collaborators of M. Clemencic. A scholar is included among the top collaborators of M. Clemencic 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 M. Clemencic. M. Clemencic 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.
Mazurek, M., M. Clemencic, & G. Corti. (2022). Gauss and Gaussino: the LHCb simulation software and its new experiment agnostic core framework. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 225–225. 2 indexed citations
2.
Currie, Robert, et al.. (2020). Evolution of the LHCb Continuous Integration system. SHILAP Revista de lepidopterología. 245. 5039–5039. 1 indexed citations
3.
Burr, C., M. Clemencic, & B. Couturier. (2019). Software packaging and distribution for LHCb using Nix. SHILAP Revista de lepidopterología. 214. 5005–5005. 1 indexed citations
4.
Burr, C., et al.. (2019). Perspectives for the migration of the LHCb geometry to the DD4hep toolkit. SHILAP Revista de lepidopterología. 214. 2022–2022.
5.
Murray, D., M. Clemencic, G. Corti, & M. Gersabeck. (2018). ReDecay: a novel approach to speed up the simulation at LHCb. The European Physical Journal C. 78(12). 1009–1009. 9 indexed citations
6.
Clemencic, M., Daniel Funke, B. Hegner, et al.. (2015). Gaudi components for concurrency: Concurrency for existing and future experiments. Journal of Physics Conference Series. 608. 12021–12021. 5 indexed citations
7.
Shapoval, I., M. Clemencic, B. Hegner, et al.. (2015). Graph-based decision making for task scheduling in concurrent Gaudi. CERN Bulletin. 1–3.
8.
Corti, G., Ph. Charpentier, M. Clemencic, et al.. (2015). How the Monte Carlo production of a wide variety of different samples is centrally handled in the LHCb experiment. Journal of Physics Conference Series. 664(7). 72014–72014.
9.
Valassi, A., M. Clemencic, Dave Dykstra, et al.. (2014). CORAL and COOL during the LHC long shutdown. Journal of Physics Conference Series. 513(4). 42045–42045. 1 indexed citations
10.
Clemencic, M., B. Hegner, Pere Mato, & D. Piparo. (2014). Preparing HEP software for concurrency. Journal of Physics Conference Series. 513(5). 52028–52028. 6 indexed citations
11.
Shapoval, I., M. Clemencic, & M. Cattaneo. (2014). ARIADNE: a Tracking System for Relationships in LHCb Metadata. Journal of Physics Conference Series. 513(4). 42039–42039. 1 indexed citations
12.
Clemencic, M., I. Shapoval, M. Cattaneo, H. Degaudenzi, & R. Santinelli. (2012). LHCb Conditions database operation assistance systems. Journal of Physics Conference Series. 396(5). 52022–52022. 4 indexed citations
13.
Cattaneo, M., M. Clemencic, & I. Shapoval. (2012). LHCb software and Conditions Database cross-compatibility tracking system: A graph-theory approach. 990–996. 1 indexed citations
14.
Gligorov, V. V., R. Aaij, M. Cattaneo, et al.. (2012). Swimming : a data driven acceptance correction algorithm. Journal of Physics Conference Series. 396(2). 22016–22016. 2 indexed citations
15.
Trentadue, R., M. Clemencic, Dave Dykstra, et al.. (2012). LCG Persistency Framework (CORAL, COOL, POOL): Status and Outlook in 2012. Journal of Physics Conference Series. 396(5). 52067–52067. 6 indexed citations
16.
Clemencic, M., G. Corti, S. Easo, et al.. (2011). The LHCb Simulation Application, Gauss: Design, Evolution and Experience. Journal of Physics Conference Series. 331(3). 32023–32023. 118 indexed citations
17.
Clemencic, M., H. Degaudenzi, Pere Mato, et al.. (2010). Recent developments in the LHCb software framework gaudi. Journal of Physics Conference Series. 219(4). 42006–42006. 15 indexed citations
18.
Valassi, A., et al.. (2008). COOL, LCG conditions database for the LHC experiments: Development and deployment status. 3021–3028. 11 indexed citations
19.
Clemencic, M., et al.. (2006). LHCb Conditions Database. CERN Document Server (European Organization for Nuclear Research). 39(6). 152–4. 2 indexed citations
20.
Arcidiacono, R., N. Cartiglia, S. Chiozzi, et al.. (2003). A new drift chamber TDC readout for the high intensity program of the NA48 experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 518(1-2). 493–494. 2 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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