D. Rossetti

493 total citations
24 papers, 252 citations indexed

About

D. Rossetti is a scholar working on Computer Networks and Communications, Hardware and Architecture and Nuclear and High Energy Physics. According to data from OpenAlex, D. Rossetti has authored 24 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 14 papers in Hardware and Architecture and 8 papers in Nuclear and High Energy Physics. Recurrent topics in D. Rossetti's work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (14 papers) and Distributed and Parallel Computing Systems (8 papers). D. Rossetti is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (14 papers) and Distributed and Parallel Computing Systems (8 papers). D. Rossetti collaborates with scholars based in Italy, United States and Switzerland. D. Rossetti's co-authors include Sreeram Potluri, Manjunath Gorentla Venkata, Mauro Bisson, Massimo Bernaschi, P. Vicini, Pier Stanislao Paolucci, Roberto Ammendola, A. Lonardo, Craig Stunkel and Matthew Baker and has published in prestigious journals such as Computer Physics Communications, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Parallel and Distributed Computing.

In The Last Decade

D. Rossetti

23 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Rossetti Italy 9 195 158 50 29 27 24 252
A. Lonardo Italy 9 181 0.9× 146 0.9× 25 0.5× 35 1.2× 55 2.0× 55 242
J. A. Herdman United Kingdom 9 197 1.0× 187 1.2× 52 1.0× 15 0.5× 5 0.2× 17 261
Ruymán Reyes Spain 9 110 0.6× 124 0.8× 45 0.9× 22 0.8× 3 0.1× 20 192
John Tramm United States 10 133 0.7× 155 1.0× 63 1.3× 40 1.4× 8 0.3× 34 307
Lei Chai United States 9 325 1.7× 271 1.7× 87 1.7× 29 1.0× 3 0.1× 15 363
Protonu Basu United States 8 141 0.7× 170 1.1× 24 0.5× 14 0.5× 3 0.1× 13 199
Francesca Lo Cicero Italy 9 157 0.8× 123 0.8× 25 0.5× 33 1.1× 45 1.7× 45 207
Yutaka Sugawara Japan 7 222 1.1× 181 1.1× 33 0.7× 88 3.0× 5 0.2× 18 288
K. Schossmaier Switzerland 8 174 0.9× 70 0.4× 9 0.2× 39 1.3× 25 0.9× 24 211
Emilio G. Cota United States 7 150 0.8× 160 1.0× 12 0.2× 95 3.3× 22 0.8× 10 243

Countries citing papers authored by D. Rossetti

Since Specialization
Citations

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

Fields of papers citing papers by D. Rossetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Rossetti

This figure shows the co-authorship network connecting the top 25 collaborators of D. Rossetti. A scholar is included among the top collaborators of D. Rossetti 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 D. Rossetti. D. Rossetti 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.
Bernaschi, Massimo, et al.. (2019). Benchmarking multi‐GPU applications on modern multi‐GPU integrated systems. Concurrency and Computation Practice and Experience. 33(14). 1 indexed citations
2.
Ammendola, Roberto, M. Barbanera, A. Biagioni, et al.. (2018). Real-time heterogeneous stream processing with NaNet in the NA62 experiment. Journal of Physics Conference Series. 1085. 32022–32022. 1 indexed citations
3.
Potluri, Sreeram, et al.. (2017). GPU-Centric Communication on NVIDIA GPU Clusters with InfiniBand: A Case Study with OpenSHMEM. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 253–262. 19 indexed citations
4.
Rossetti, D., et al.. (2017). GPUDirect Async: Exploring GPU synchronous communication techniques for InfiniBand clusters. Journal of Parallel and Distributed Computing. 114. 28–45. 11 indexed citations
5.
Rossetti, D., et al.. (2017). Offloading Communication Control Logic in GPU Accelerated Applications. 248–257. 11 indexed citations
6.
Ammendola, Roberto, A. Biagioni, Ottorino Frezza, et al.. (2016). NaNet: a flexible and configurable low-latency NIC for real-time trigger systems based on GPUs.. 8 indexed citations
7.
Ammendola, Roberto, A. Biagioni, M. Fiorini, et al.. (2016). NaNet-10: a 10GbE network interface card for the GPU-based low-level trigger of the NA62 RICH detector.. Journal of Instrumentation. 11(3). C03030–C03030. 4 indexed citations
8.
Shamis, Pavel, Manjunath Gorentla Venkata, M. Graham Lopez, et al.. (2015). UCX: An Open Source Framework for HPC Network APIs and Beyond. 40–43. 82 indexed citations
9.
Ammendola, Roberto, A. Biagioni, Ottorino Frezza, et al.. (2015). Hardware and Software Design of FPGA-based PCIe Gen3 interface for APEnet+ network interconnect system. Journal of Physics Conference Series. 664(9). 92017–92017. 4 indexed citations
10.
Ammendola, Roberto, A. Biagioni, Ottorino Frezza, et al.. (2015). NaNet: Design of FPGA-based network interface cards for real-time trigger and data acquisition systems in HEP experiments. CINECA IRIS Institutial research information system (University of Pisa). 1–3. 1 indexed citations
11.
Lonardo, A., F. Ameli, Roberto Ammendola, et al.. (2015). NaNet: a configurable NIC bridging the gap between HPC and real-time HEP GPU computing. Journal of Instrumentation. 10(4). C04011–C04011. 10 indexed citations
12.
Ammendola, Roberto, A. Biagioni, Luca Deri, et al.. (2014). GPUs for real-time processing in HEP trigger systems. Journal of Physics Conference Series. 523. 12007–12007. 3 indexed citations
13.
Shi, Rongpei, Sreeram Potluri, Khaled Hamidouche, et al.. (2014). Designing efficient small message transfer mechanism for inter-node MPI communication on InfiniBand GPU clusters. 1–10. 27 indexed citations
14.
Bernaschi, Massimo, Mauro Bisson, & D. Rossetti. (2012). Benchmarking of communication techniques for GPUs. Journal of Parallel and Distributed Computing. 73(2). 250–255. 10 indexed citations
15.
Bernaschi, Massimo, et al.. (2012). Breadth First Search on APEnet+. 248–253. 3 indexed citations
16.
Belletti, Francesco, Sebastiano Fabio Schifano, R. Tripiccione, et al.. (2006). Computing for LQCD: apeNEXT. Computing in Science & Engineering. 8(1). 18–29. 14 indexed citations
17.
Belletti, Francesco, François Bodin, Ph. Boucaud, et al.. (2005). The apeNEXT project. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 559(1). 90–94. 2 indexed citations
18.
Ammendola, Roberto, R. Petronzio, D. Rossetti, et al.. (2005). Status of the APENet project. Cineca Institutional Research Information System (Tor Vergata University). 100–100. 3 indexed citations
19.
Bartoloni, A., S. Cabasino, Emanuele Panizzi, et al.. (1998). The teraflop supercomputer APEmille: architecture, software and project status report. Computer Physics Communications. 110(1-3). 216–219. 3 indexed citations
20.
Bartoloni, A., S. Cabasino, A. Lonardo, et al.. (1998). An overview of the APEmille project. Nuclear Physics B - Proceedings Supplements. 60(1-2). 237–240. 4 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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