Pietro Cicotti

519 total citations
40 papers, 315 citations indexed

About

Pietro Cicotti is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Pietro Cicotti has authored 40 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 24 papers in Hardware and Architecture and 18 papers in Information Systems. Recurrent topics in Pietro Cicotti's work include Parallel Computing and Optimization Techniques (24 papers), Advanced Data Storage Technologies (20 papers) and Cloud Computing and Resource Management (15 papers). Pietro Cicotti is often cited by papers focused on Parallel Computing and Optimization Techniques (24 papers), Advanced Data Storage Technologies (20 papers) and Cloud Computing and Resource Management (15 papers). Pietro Cicotti collaborates with scholars based in United States, China and Taiwan. Pietro Cicotti's co-authors include Michela Taufer, Scott B. Baden, Laura Carrington, Trilce Estrada, Debra Anderson, Charles L. Brooks, Gökçen Kestor, Roberto Gioiosa, Stefano Markidis and Pavan Balaji and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Computers in Biology and Medicine and ACM SIGPLAN Notices.

In The Last Decade

Pietro Cicotti

38 papers receiving 307 citations

Peers

Pietro Cicotti

CNC

HA

IS

MB

AI

M. Mendell Canada

Yanhua Sun United States

S.D. Hammond United Kingdom

Osamu Tatebe Japan

Marius Hillenbrand Germany

Raül Sirvent Spain

Maurizio Drocco Italy

Ruth Aydt United States

Zoltán Farkas Hungary

Enric Tejedor Switzerland

M. Mendell Canada

Pietro Cicotti

119 ×0.6

CNC

59 ×0.4

HA

45 ×0.4

IS

50 ×1.1

MB

37 ×1.2

AI

Citations per year, relative to Pietro Cicotti Pietro Cicotti (= 1×) peers M. Mendell

Countries citing papers authored by Pietro Cicotti

Since Specialization

Citations

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

Fields of papers citing papers by Pietro Cicotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Cicotti

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Cicotti. A scholar is included among the top collaborators of Pietro Cicotti 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 Pietro Cicotti. Pietro Cicotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Guo, Yanfei, et al.. (2020). Memory-Efficient and Skew-Tolerant MapReduce Over MPI for Supercomputing Systems. IEEE Transactions on Parallel and Distributed Systems. 31(12). 2734–2748. 4 indexed citations

2.

Peng, Ivy, Roberto Gioiosa, Gökçen Kestor, et al.. (2018). Characterizing the performance benefit of hybrid memory system for HPC applications. Parallel Computing. 76. 57–69. 10 indexed citations

3.

Mu, Dawei, et al.. (2018). Deep Learning for Seismic Template Recognition. 1–6. 1 indexed citations

4.

Shantharam, Manu, et al.. (2017). Performance Evaluation of Scale-Free Graph Algorithms in Low Latency Non-volatile Memory. 1021–1028. 6 indexed citations

5.

Nguyen, Tan, Pietro Cicotti, Eric J. Bylaska, Dan Quinlan, & Scott B. Baden. (2017). Automatic translation of MPI source into a latency-tolerant, data-driven form. Journal of Parallel and Distributed Computing. 106. 1–13. 4 indexed citations

6.

Mu, Dawei, Pietro Cicotti, Yifeng Cui, En‐Jui Lee, & Po Chen. (2017). A Buffering Approach to Manage I/O in a Normalized Cross-Correlation Earthquake Detection Code for Large Seismic Datasets. 1–6. 1 indexed citations

7.

Guo, Yanfei, et al.. (2017). Mimir: Memory-Efficient and Scalable MapReduce for Large Supercomputing Systems. 1098–1108. 15 indexed citations

8.

Cicotti, Pietro & Laura Carrington. (2016). ADAMANT: Tools to Capture, Analyze, and Manage Data Movement. Procedia Computer Science. 80. 450–460. 6 indexed citations

9.

Johnston, Travis, et al.. (2015). Performance Tuning of MapReduce Jobs Using Surrogate-based Modeling. Procedia Computer Science. 51. 49–59. 4 indexed citations

10.

Cicotti, Pietro, et al.. (2014). Evaluation of emerging memory technologies for HPC, data intensive applications. 17 indexed citations

11.

Cicotti, Pietro, Ananta Tiwari, & Laura Carrington. (2014). Efficient speed (ES): Adaptive DVFS and clock modulation for energy efficiency. 158–166. 6 indexed citations

12.

Estrada, Trilce, et al.. (2013). On Efficiently Capturing Scientific Properties in Distributed Big Data without Moving the Data: A Case Study in Distributed Structural Biology Using MapReduce. 117–124. 8 indexed citations

13.

Nguyen, Tan, Pietro Cicotti, Eric J. Bylaska, Dan Quinlan, & Scott B. Baden. (2012). Bamboo: translating MPI applications to a latency-tolerant, data-driven form. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 9 indexed citations

14.

Estrada, Trilce, et al.. (2012). A scalable and accurate method for classifying protein–ligand binding geometries using a MapReduce approach. Computers in Biology and Medicine. 42(7). 758–771. 21 indexed citations

15.

Estrada, Trilce, Boyu Zhang, Michela Taufer, Pietro Cicotti, & Roger S. Armen. (2012). Reengineering High-throughput Molecular Datasets for Scalable Clustering Using MapReduce. 351–359. 8 indexed citations

16.

Cicotti, Pietro, et al.. (2011). Evaluation of I/O technologies on a flash-based I/O sub-system for HPC. 13–18. 3 indexed citations

17.

Sinkovits, Robert S., et al.. (2011). Data intensive analysis on the gordon high performance data and compute system. 747–748. 9 indexed citations

18.

Cicotti, Pietro. (2008). LUsim: A Framework for Simulation-Based Performance Modeling and Prediction of Parallel Sparse LU Factorization. Lawrence Berkeley National Laboratory. 1 indexed citations

19.

Cicotti, Pietro, Michela Taufer, & Andrew A. Chien. (2005). DGMonitor: A Performance Monitoring Tool for Sandbox-Based Desktop Grid Platforms. The Journal of Supercomputing. 34(2). 113–133. 3 indexed citations

20.

Cicotti, Pietro, Michela Taufer, & Andrew A. Chien. (2004). DGMonitor: a performance monitoring tool for sandbox-based desktop grid platforms. eScholarship (California Digital Library). 1469. 246–253. 5 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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