Paul Carpenter

955 total citations
45 papers, 489 citations indexed

About

Paul Carpenter is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Paul Carpenter has authored 45 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 32 papers in Hardware and Architecture and 19 papers in Information Systems. Recurrent topics in Paul Carpenter's work include Parallel Computing and Optimization Techniques (31 papers), Cloud Computing and Resource Management (19 papers) and Advanced Data Storage Technologies (19 papers). Paul Carpenter is often cited by papers focused on Parallel Computing and Optimization Techniques (31 papers), Cloud Computing and Resource Management (19 papers) and Advanced Data Storage Technologies (19 papers). Paul Carpenter collaborates with scholars based in Spain, United States and Sweden. Paul Carpenter's co-authors include Vinícius Petrucci, Alex Ramírez, Eduard Ayguadé, Mateo Valero, Xavier Martorell, Isaac Gelado, Nikola Rajovic, Nikola Puzovic, Magnus Själander and Petar Radojković and has published in prestigious journals such as IEEE Transactions on Computers, IEEE/ACM Transactions on Networking and Computer Networks.

In The Last Decade

Paul Carpenter

42 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Carpenter Spain 11 418 284 223 105 24 45 489
Javier Picorel United Kingdom 10 414 1.0× 376 1.3× 177 0.8× 110 1.0× 44 1.8× 14 499
Robert Searles United States 5 306 0.7× 335 1.2× 116 0.5× 49 0.5× 46 1.9× 10 405
Ahmad Afsahi Canada 13 496 1.2× 405 1.4× 129 0.6× 76 0.7× 33 1.4× 72 561
Gilad Shainer United States 13 430 1.0× 287 1.0× 162 0.7× 105 1.0× 39 1.6× 28 527
Huynh Phung Huynh Singapore 11 260 0.6× 259 0.9× 103 0.5× 36 0.3× 30 1.3× 22 353
Berkin Özıṣıkyılmaz United States 11 257 0.6× 253 0.9× 83 0.4× 101 1.0× 63 2.6× 11 382
Marco A. Z. Alves Brazil 13 341 0.8× 309 1.1× 106 0.5× 131 1.2× 44 1.8× 59 434
Ram Huggahalli United States 10 457 1.1× 283 1.0× 144 0.6× 80 0.8× 25 1.0× 16 524
Jonathan Balkind United States 10 310 0.7× 279 1.0× 148 0.7× 142 1.4× 55 2.3× 29 468
Thomas Ilsche Germany 9 249 0.6× 279 1.0× 162 0.7× 143 1.4× 17 0.7× 30 390

Countries citing papers authored by Paul Carpenter

Since Specialization
Citations

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

Fields of papers citing papers by Paul Carpenter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Carpenter

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Carpenter. A scholar is included among the top collaborators of Paul Carpenter 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 Paul Carpenter. Paul Carpenter 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.
Beltrán, Vicenç, et al.. (2025). Leveraging iterative applications to improve the scalability of task-based programming models on distributed systems. ACM Transactions on Architecture and Code Optimization. 22(3). 1–27.
2.
Vicente, D., et al.. (2024). Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the Field. arXiv (Cornell University). 240–252.
3.
Carpenter, Paul, et al.. (2021). Memory Demands in Disaggregated HPC: How Accurate Do We Need to Be?. QRU Quaderns de Recerca en Urbanisme. 1–6. 3 indexed citations
4.
Carpenter, Paul, et al.. (2019). PROFET. ACM SIGMETRICS Performance Evaluation Review. 47(1). 71–72. 2 indexed citations
5.
Petrucci, Vinícius, et al.. (2019). Intelligent Colocation of Workloads for Enhanced Server Efficiency. 128. 120–127. 6 indexed citations
6.
Carpenter, Paul, et al.. (2019). PROFET. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 3(2). 1–33. 2 indexed citations
7.
Carpenter, Paul, et al.. (2018). PerfBound: Conserving Energy with Bounded Overheads in On/Off-Based HPC Interconnects. IEEE Transactions on Computers. 67(7). 960–974. 6 indexed citations
8.
Carpenter, Paul, et al.. (2017). Hipster: Hybrid Task Manager for Latency-Critical Cloud Workloads. QRU Quaderns de Recerca en Urbanisme. 409–420. 52 indexed citations
9.
Carpenter, Paul, et al.. (2017). High Throughput and Low Latency on Hadoop Clusters Using Explicit Congestion Notification: The Untold Truth. QRU Quaderns de Recerca en Urbanisme. 349–353. 2 indexed citations
10.
Carpenter, Paul, et al.. (2017). Energy Efficient Ethernet on MapReduce Clusters: Packet Coalescing To Improve 10GbE Links. IEEE/ACM Transactions on Networking. 25(5). 2731–2742. 8 indexed citations
11.
Carpenter, Paul, et al.. (2017). vMCA: Memory Capacity Aggregation and Management in Cloud Environments. QRU Quaderns de Recerca en Urbanisme. 674–683. 2 indexed citations
12.
Marazakis, Manolis, John Goodacre, Paul Carpenter, et al.. (2016). EUROSERVER: Share-Anything Scale-Out Micro-Server Design. Chalmers Research (Chalmers University of Technology). 678–683. 10 indexed citations
13.
Carpenter, Paul, et al.. (2016). Controlling Network Latency in Mixed Hadoop Clusters: Do We Need Active Queue Management?. UPCommons institutional repository (Universitat Politècnica de Catalunya). 415–423. 7 indexed citations
14.
Carpenter, Paul, et al.. (2016). Large-Memory Nodes for Energy Efficient High-Performance Computing. QRU Quaderns de Recerca en Urbanisme. 3–9. 2 indexed citations
15.
Rico, Alejandro, et al.. (2016). Adaptive Runtime-Assisted Block Prefetching on Chip-Multiprocessors. International Journal of Parallel Programming. 45(3). 530–550. 3 indexed citations
16.
Carpenter, Paul, et al.. (2015). Exploring interconnect energy savings under east-west traffic pattern of mapreduce clusters. QRU Quaderns de Recerca en Urbanisme. 10–18. 9 indexed citations
17.
Radojković, Petar, Paul Carpenter, Miquel Moretó, et al.. (2015). Thread Assignment in Multicore/Multithreaded Processors: A Statistical Approach. IEEE Transactions on Computers. 65(1). 256–269. 15 indexed citations
18.
Durand, Yves, Paul Carpenter, Angelos Bilas, et al.. (2014). EUROSERVER: Energy Efficient Node for European Micro-Servers. Research Explorer (The University of Manchester). 206–213. 32 indexed citations
19.
Carpenter, Paul, et al.. (2013). Power/performance evaluation of energy efficient Ethernet (EEE) for High Performance Computing. QRU Quaderns de Recerca en Urbanisme. 205–214. 23 indexed citations
20.
Radojković, Petar, Paul Carpenter, Miquel Moretó, Alex Ramírez, & Francisco J. Cazorla. (2012). Kernel Partitioning of Streaming Applications: A Statistical Approach to an NP-complete Problem. 4. 401–412. 3 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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