Alessandro Morari

586 total citations
27 papers, 295 citations indexed

About

Alessandro Morari is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Alessandro Morari has authored 27 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 13 papers in Information Systems and 9 papers in Hardware and Architecture. Recurrent topics in Alessandro Morari's work include Software Engineering Research (10 papers), Parallel Computing and Optimization Techniques (9 papers) and Graph Theory and Algorithms (8 papers). Alessandro Morari is often cited by papers focused on Software Engineering Research (10 papers), Parallel Computing and Optimization Techniques (9 papers) and Graph Theory and Algorithms (8 papers). Alessandro Morari collaborates with scholars based in United States, Spain and United Kingdom. Alessandro Morari's co-authors include Mateo Valero, Jim Laredo, Yunhui Zheng, Saurabh Pujar, Roberto Gioiosa, Edward S. Epstein, Zhongqing Su, Bo Yang, Antonino Tumeo and Oreste Villa and has published in prestigious journals such as Computer, IEEE Transactions on Computers and IEEE Micro.

In The Last Decade

Alessandro Morari

26 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Morari United States 10 180 130 92 77 75 27 295
Manuel Rigger Singapore 9 86 0.5× 153 1.2× 90 1.0× 47 0.6× 84 1.1× 31 257
Stas Negara United States 9 250 1.4× 123 0.9× 168 1.8× 41 0.5× 37 0.5× 18 316
Cosmin Radoi United States 9 174 1.0× 196 1.5× 143 1.6× 55 0.7× 88 1.2× 12 311
Emilio Coppa Italy 9 117 0.7× 134 1.0× 99 1.1× 104 1.4× 58 0.8× 22 245
Brendan Gregg United States 9 136 0.8× 205 1.6× 34 0.4× 21 0.3× 92 1.2× 20 282
Cong Yan United States 9 164 0.9× 233 1.8× 35 0.4× 20 0.3× 78 1.0× 27 302
Ju Qian China 8 215 1.2× 106 0.8× 238 2.6× 88 1.1× 37 0.5× 28 336
Abhinav Jangda United States 8 87 0.5× 95 0.7× 35 0.4× 22 0.3× 55 0.7× 14 246
Tanakorn Leesatapornwongsa United States 8 224 1.2× 314 2.4× 103 1.1× 23 0.3× 60 0.8× 17 369
Tianxiao Gu China 10 251 1.4× 139 1.1× 249 2.7× 164 2.1× 37 0.5× 25 413

Countries citing papers authored by Alessandro Morari

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Morari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Morari

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Morari. A scholar is included among the top collaborators of Alessandro Morari 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 Alessandro Morari. Alessandro Morari 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.
Pujar, Saurabh, Yunhui Zheng, Jim Laredo, et al.. (2024). Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT. Empirical Software Engineering. 29(2). 2 indexed citations
2.
Pujar, Saurabh, Xiaojie Guo, Nicolas Dupuis, et al.. (2023). Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. 1–4. 9 indexed citations
3.
Suneja, Sahil, et al.. (2023). Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection. ACM Transactions on Software Engineering and Methodology. 32(6). 1–40. 2 indexed citations
4.
Suneja, Sahil, et al.. (2023). Code Vulnerability Detection via Signal-Aware Learning. 506–523.
5.
Ding, Yangruibo, Saikat Chakraborty, Saurabh Pujar, et al.. (2023). CONCORD: Clone-Aware Contrastive Learning for Source Code. 26–38. 3 indexed citations
6.
Ding, Yangruibo, et al.. (2022). Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6300–6312. 19 indexed citations
7.
Ding, Yangruibo, Sahil Suneja, Yunhui Zheng, et al.. (2022). VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. 959–970. 29 indexed citations
8.
Zheng, Yunhui, Saurabh Pujar, Edward S. Epstein, et al.. (2021). D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. 111–120. 86 indexed citations
9.
Polo, Jordà, David Carrera, Nelson Mimura Gonzalez, et al.. (2021). DRMaestro: orchestrating disaggregated resources on virtualized data-centers. Journal of Cloud Computing Advances Systems and Applications. 10(1). 13 indexed citations
10.
Gonzalez, Nelson Mimura, Alessandro Morari, & Fabio Checconi. (2017). Jitter-Trace. 1–8. 1 indexed citations
11.
Morari, Alessandro, et al.. (2016). GraQL: A Query Language for High-Performance Attributed Graph Databases. IEEE Conference Proceedings. 2016. 1462. 1 indexed citations
12.
Chavarría-Miranda, Daniel, Vito Giovanni Castellana, Alessandro Morari, David J. Haglin, & John Feo. (2016). GraQL: A Query Language for High-Performance Attributed Graph Databases. 1453–1462. 7 indexed citations
13.
Castellana, Vito Giovanni, Marco Minutoli, Alessandro Morari, et al.. (2015). High level synthesis of RDF queries for graph analytics. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 323–330. 3 indexed citations
14.
Morari, Alessandro, et al.. (2013). GMT: Enabling easy development and efficient execution of irregular applications on commodity clusters. QRU Quaderns de Recerca en Urbanisme. 1–2. 1 indexed citations
15.
Choudhury, Sutanay, John Feo, David J. Haglin, et al.. (2013). Toward a data scalable solution for facilitating discovery of scientific data resources. 55–60. 2 indexed citations
16.
Morari, Alessandro & Mateo Valero. (2013). HPC System Software for Regular and Irregular Parallel Applications. UPCommons institutional repository (Universitat Politècnica de Catalunya). 2242–2245. 4 indexed citations
17.
Morari, Alessandro, Antonino Tumeo, Oreste Villa, Simone Secchi, & Mateo Valero. (2012). Efficient Sorting on the Tilera Manycore Architecture. 171–178. 5 indexed citations
18.
Morari, Alessandro, Francisco J. Cazorla, Roberto Gioiosa, et al.. (2012). SMT Malleability in IBM POWER5 and POWER6 Processors. IEEE Transactions on Computers. 62(4). 813–826. 5 indexed citations
19.
Morari, Alessandro, Roberto Gioiosa, Robert W. Wisniewski, et al.. (2012). Evaluating the Impact of TLB Misses on Future HPC Systems. 1010–1021. 12 indexed citations
20.
Morari, Alessandro, Roberto Gioiosa, Robert W. Wisniewski, Francisco J. Cazorla, & Mateo Valero. (2011). A Quantitative Analysis of OS Noise. Zenodo (CERN European Organization for Nuclear Research). 852–863. 37 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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