C. Grandi

103.7k total citations
32 papers, 332 citations indexed

About

C. Grandi is a scholar working on Computer Networks and Communications, Information Systems and Management and Hardware and Architecture. According to data from OpenAlex, C. Grandi has authored 32 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 11 papers in Information Systems and Management and 9 papers in Hardware and Architecture. Recurrent topics in C. Grandi's work include Distributed and Parallel Computing Systems (22 papers), Advanced Data Storage Technologies (18 papers) and Scientific Computing and Data Management (11 papers). C. Grandi is often cited by papers focused on Distributed and Parallel Computing Systems (22 papers), Advanced Data Storage Technologies (18 papers) and Scientific Computing and Data Management (11 papers). C. Grandi collaborates with scholars based in Italy, Switzerland and United Kingdom. C. Grandi's co-authors include Aleš Křenek, S.M. Fisher, Åke Edlund, Peter Kunszt, Erwin Laure, F. Prelz, Ákos Frohner, Alberto Di Meglio, Olle Mulmo and Fabrizio Pacini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Protein Science and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

C. Grandi

28 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Grandi Italy 8 226 112 81 57 40 32 332
D Bradley United States 6 176 0.8× 81 0.7× 59 0.7× 40 0.7× 13 0.3× 17 336
Parag Mhashilkar United States 4 144 0.6× 73 0.7× 43 0.5× 28 0.5× 13 0.3× 20 298
R. Graciani Diaz Spain 13 281 1.2× 131 1.2× 44 0.5× 104 1.8× 5 0.1× 56 526
Sanjay Padhi United States 6 132 0.6× 66 0.6× 36 0.4× 55 1.0× 13 0.3× 15 399
Åke Edlund Sweden 7 193 0.9× 111 1.0× 59 0.7× 65 1.1× 13 0.3× 15 309
Osamu Tatebe Japan 14 541 2.4× 158 1.4× 162 2.0× 212 3.7× 21 0.5× 65 643
R. Barbera Italy 12 171 0.8× 159 1.4× 22 0.3× 77 1.4× 23 0.6× 98 511
Pietro Cicotti United States 10 216 1.0× 21 0.2× 154 1.9× 112 2.0× 44 1.1× 40 315
Manojkumar Krishnan United States 6 178 0.8× 25 0.2× 153 1.9× 57 1.0× 5 0.1× 19 294
L. Gerhardt United States 6 77 0.3× 40 0.4× 13 0.2× 48 0.8× 11 0.3× 15 178

Countries citing papers authored by C. Grandi

Since Specialization
Citations

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

Fields of papers citing papers by C. Grandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Grandi

This figure shows the co-authorship network connecting the top 25 collaborators of C. Grandi. A scholar is included among the top collaborators of C. Grandi 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 C. Grandi. C. Grandi 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.
Codispoti, G., R. Di Maria, D. Bonacorsi, et al.. (2016). Elastic Extension of a CMS Computing Centre Resources on External Clouds. Journal of Physics Conference Series. 762. 12013–12013. 1 indexed citations
2.
Bauer, D., D. Colling, Marc Dobson, et al.. (2015). The Diverse use of Clouds by CMS. Journal of Physics Conference Series. 664(2). 22012–22012. 6 indexed citations
3.
Colling, D., Adam Huffman, C. Grandi, et al.. (2014). Using the CMS High Level Trigger as a Cloud Resource. Journal of Physics Conference Series. 513(3). 32019–32019. 5 indexed citations
4.
Boccali, T., Giacinto Donvito, Domenico Diacono, et al.. (2014). An Xrootd Italian Federation. Journal of Physics Conference Series. 513(4). 42013–42013. 1 indexed citations
5.
Grandi, C., D. Bonacorsi, D. Colling, I. Fisk, & M. Girone. (2014). CMS computing model evolution. Journal of Physics Conference Series. 513(3). 32039–32039. 3 indexed citations
6.
Cinquilli, M, D. Spiga, C. Grandi, et al.. (2012). CRAB3: Establishing a new generation of services for distributed analysis at CMS. Journal of Physics Conference Series. 396(3). 32026–32026. 13 indexed citations
7.
Grandi, C., Brian Bockelman, Daniele Bonacorsi, et al.. (2011). CMS Distributed Computing Integration in the LHC sustained operations era. Journal of Physics Conference Series. 331(6). 62032–62032. 6 indexed citations
8.
Andreetto, Paolo, S. Da Ronco, A. Dorigo, et al.. (2008). Job submission and management through web services: the experience with the CREAM service. Journal of Physics Conference Series. 119(6). 62004–62004. 7 indexed citations
9.
Filippis, Vincenzo De, Roberta Frasson, C. Grandi, et al.. (2007). o‐Nitrotyrosine andp‐iodophenylalanine as spectroscopic probes for structural characterization of SH3 complexes. Protein Science. 16(7). 1257–1265. 7 indexed citations
10.
Laure, Erwin, S.M. Fisher, Ákos Frohner, et al.. (2006). Programming the Grid with gLite*. Computational Methods in Science and Technology. 12(1). 33–45. 162 indexed citations
11.
Bonacorsi, D., P. Capiluppi, A. Fanfani, & C. Grandi. (2005). CMS The Computing Project: Technical Design Report. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 4 indexed citations
12.
Byrom, Rob, D. Colling, S.M. Fisher, et al.. (2005). Performance of R-GMA Based Grid Job Monitoring System for CMS Data Production. IEEE Symposium Conference Record Nuclear Science 2004.. 4. 2033–2037. 3 indexed citations
13.
Goossens, L., L. Tuura, K. Karr, et al.. (2005). Experience with POOL from the LCG Data Challenges of the three LHC experiments. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
14.
15.
Grandi, C.. (2004). CMS distributed data analysis challenges. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 534(1-2). 87–93.
16.
Grandi, C. & A. Renzi. (2003). Object Based System for Batch Job Submission and Monitoring (BOSS). CERN Bulletin. 9 indexed citations
17.
Grandi, C. & Lisa Berti. (2001). CMS Grid Activities in Europe. 746–749. 1 indexed citations
18.
Shubin, Yu.N., et al.. (1999). The effect of level density and reaction mechanisms on the reaction cross-section calculations at intermediate energies. Nuovo cimento della Società italiana di fisica. A, Nuclei, particles and fields. 112(7). 743–760. 3 indexed citations
19.
Mebel, M. V., A. S. Iljinov, C. Grandi, G. Reffo, & M. Blann. (1997). Analysis of isotope yields and excitation functions for fissile and non-fissile nuclei with CEF and HMS-ALICE codes. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 398(2-3). 324–342. 8 indexed citations
20.
Goriely, S., et al.. (1997). A coherent set of reaction rates for astrophysical applications based on a microscopic model of nuclear level densities. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 811–813.

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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