Ann Gentile

518 total citations
20 papers, 295 citations indexed

About

Ann Gentile is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Ann Gentile has authored 20 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 15 papers in Information Systems and 7 papers in Hardware and Architecture. Recurrent topics in Ann Gentile's work include Cloud Computing and Resource Management (13 papers), Distributed and Parallel Computing Systems (11 papers) and Software System Performance and Reliability (7 papers). Ann Gentile is often cited by papers focused on Cloud Computing and Resource Management (13 papers), Distributed and Parallel Computing Systems (11 papers) and Software System Performance and Reliability (7 papers). Ann Gentile collaborates with scholars based in United States. Ann Gentile's co-authors include Jim Brandt, Jeffrey A. Ogden, Benjamin A. Allan, Mahesh Rajan, Nichamon Naksinehaboon, Michael Showerman, Jackson Mayo, Jeremy Enos, David Thompson and Philippe Pébaÿ and has published in prestigious journals such as Parallel Computing, Computer Science - Research and Development and Journal of International Crisis and Risk Communication Research.

In The Last Decade

Ann Gentile

20 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Gentile United States 10 271 150 93 44 34 20 295
Nichamon Naksinehaboon United States 9 325 1.2× 160 1.1× 137 1.5× 26 0.6× 31 0.9× 14 354
Charng‐Da Lu United States 11 323 1.2× 210 1.4× 83 0.9× 38 0.9× 42 1.2× 16 347
Randy Ribler United States 7 223 0.8× 100 0.7× 120 1.3× 38 0.9× 41 1.2× 9 266
Brendan Gregg United States 9 205 0.8× 136 0.9× 92 1.0× 57 1.3× 21 0.6× 20 282
Rinku Gupta United States 11 252 0.9× 120 0.8× 110 1.2× 46 1.0× 10 0.3× 19 290
Antonio Lain United States 8 268 1.0× 112 0.7× 188 2.0× 66 1.5× 16 0.5× 14 325
J. Satran Israel 13 424 1.6× 161 1.1× 133 1.4× 74 1.7× 15 0.4× 26 473
Timothy Zhu United States 10 427 1.6× 374 2.5× 72 0.8× 50 1.1× 10 0.3× 20 472
Lingkun Chu United States 9 346 1.3× 193 1.3× 93 1.0× 32 0.7× 11 0.3× 13 413
Kalman Meth Israel 10 254 0.9× 118 0.8× 75 0.8× 33 0.8× 9 0.3× 17 306

Countries citing papers authored by Ann Gentile

Since Specialization
Citations

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

Fields of papers citing papers by Ann Gentile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Gentile

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Gentile. A scholar is included among the top collaborators of Ann Gentile 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 Ann Gentile. Ann Gentile 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.
Jha, Saurabh, et al.. (2021). Delay sensitivity-driven congestion mitigation for HPC systems. 342–353. 1 indexed citations
2.
Naksinehaboon, Nichamon, et al.. (2018). Integrating Low-latency Analysis into HPC System Monitoring. Journal of International Crisis and Risk Communication Research. 1–10. 9 indexed citations
3.
Jha, Saurabh, Jim Brandt, Ann Gentile, Zbigniew Kalbarczyk, & Ravishankar K. Iyer. (2018). Characterizing Supercomputer Traffic Networks Through Link-Level Analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 562–570. 5 indexed citations
4.
Jha, Saurabh, Jim Brandt, Ann Gentile, et al.. (2017). Holistic Measurement-Driven System Assessment. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 797–800. 3 indexed citations
5.
Brandt, Jim, et al.. (2016). Large-Scale Persistent Numerical Data Source Monitoring System Experiences. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1711–1720. 3 indexed citations
6.
Allan, Benjamin A., Jim Brandt, Ann Gentile, et al.. (2016). Continuous whole-system monitoring toward rapid understanding of production HPC applications and systems. Parallel Computing. 58. 90–106. 11 indexed citations
7.
Brandt, Jim, Karen Devine, & Ann Gentile. (2015). Infrastructure for In Situ System Monitoring and Application Data Analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 36–40. 3 indexed citations
8.
Grant, Ryan E., Kevin Pedretti, & Ann Gentile. (2015). Overtime. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–10. 10 indexed citations
9.
Brandt, Jim, et al.. (2015). New Systems, New Behaviors, New Patterns: Monitoring Insights from System Standup. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 36. 658–665. 5 indexed citations
10.
Allan, Benjamin A., Jim Brandt, Ann Gentile, et al.. (2015). Toward Rapid Understanding of Production HPC Applications and Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 464–473. 14 indexed citations
11.
Allan, Benjamin A., Jim Brandt, Jeremy Enos, et al.. (2014). The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 154–165. 124 indexed citations
12.
Brandt, Jim, Karen Devine, Ann Gentile, & Kevin Pedretti. (2014). Demonstrating improved application performance using dynamic monitoring and task mapping. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3608. 408–415. 11 indexed citations
13.
Brandt, Jim, et al.. (2011). Baler: deterministic, lossless log message clustering tool. Computer Science - Research and Development. 26(3-4). 285–295. 21 indexed citations
14.
Chen, Fanglin, Vincent De Sapio, Ann Gentile, et al.. (2010). Quantifying effectiveness of failure prediction and response in HPC systems: Methodology and example. 2–7. 9 indexed citations
15.
Chen, Fanglin, Vincent De Sapio, Ann Gentile, et al.. (2010). Using Cloud Constructs and Predictive Analysis to Enable Pre-Failure Process Migration in HPC Systems. 703–708. 2 indexed citations
16.
17.
Brandt, Jim, Ann Gentile, Jackson Mayo, et al.. (2009). Methodologies for advance warning of compute cluster problems via statistical analysis. 7–14. 9 indexed citations
18.
Brandt, Jim, Ann Gentile, Jackson Mayo, et al.. (2009). Resource monitoring and management with OVIS to enable HPC in cloud computing environments. 1–8. 38 indexed citations
19.
Brandt, Jim, et al.. (2008). Using Probabilistic Characterization to Reduce Runtime Faults in HPC Systems. 759–764. 7 indexed citations
20.
Pilato, Giovanni, et al.. (2006). An Intelligent Multimodal Site-guide for the "Parco Archeologico della Valle dei Templi di Agrigento. 45–49. 8 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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