Jerzy Proficz

449 total citations
23 papers, 218 citations indexed

About

Jerzy Proficz is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Jerzy Proficz has authored 23 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 14 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Jerzy Proficz's work include Parallel Computing and Optimization Techniques (13 papers), Distributed and Parallel Computing Systems (10 papers) and Cloud Computing and Resource Management (7 papers). Jerzy Proficz is often cited by papers focused on Parallel Computing and Optimization Techniques (13 papers), Distributed and Parallel Computing Systems (10 papers) and Cloud Computing and Resource Management (7 papers). Jerzy Proficz collaborates with scholars based in Poland, South Korea and Spain. Jerzy Proficz's co-authors include Paweł Czarnul, Henryk Krawczyk, Adam K. Sieradzan, Adam Liwo, Cezary Czaplewski, Agnieszka G. Lipska, Julian Szymański, Emilia A. Lubecka and Andrea D. Lipińska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Computational Chemistry.

In The Last Decade

Jerzy Proficz

22 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jerzy Proficz Poland 8 123 90 68 41 33 23 218
Charles Siegel United States 7 87 0.7× 27 0.3× 40 0.6× 19 0.5× 39 1.2× 10 197
Vicente Blanco Spain 9 159 1.3× 129 1.4× 78 1.1× 30 0.7× 8 0.2× 49 231
Óscar Hernández United States 12 261 2.1× 259 2.9× 112 1.6× 28 0.7× 42 1.3× 48 407
Arthur S Buddy Bland United States 6 178 1.4× 110 1.2× 46 0.7× 111 2.7× 11 0.3× 9 272
Oğuz Selvitopi United States 9 101 0.8× 78 0.9× 36 0.5× 30 0.7× 33 1.0× 21 204
Dieter an Mey Germany 9 134 1.1× 120 1.3× 56 0.8× 10 0.2× 15 0.5× 22 213
Rainer G. Spallek Germany 11 104 0.8× 163 1.8× 34 0.5× 85 2.1× 33 1.0× 41 280
Tom Van Court United States 5 250 2.0× 177 2.0× 64 0.9× 96 2.3× 40 1.2× 8 331
Ikki Fujiwara Japan 11 241 2.0× 92 1.0× 118 1.7× 115 2.8× 6 0.2× 43 320

Countries citing papers authored by Jerzy Proficz

Since Specialization
Citations

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

Fields of papers citing papers by Jerzy Proficz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerzy Proficz

This figure shows the co-authorship network connecting the top 25 collaborators of Jerzy Proficz. A scholar is included among the top collaborators of Jerzy Proficz 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 Jerzy Proficz. Jerzy Proficz 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.
Czaplewski, Cezary, Henryk Krawczyk, Agnieszka G. Lipska, et al.. (2023). UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales. Bioinformatics. 39(6). 7 indexed citations
2.
Lipska, Agnieszka G., Adam K. Sieradzan, Cezary Czaplewski, et al.. (2023). Long‐time scale simulations of virus‐like particles from three human‐norovirus strains. Journal of Computational Chemistry. 44(16). 1470–1483. 2 indexed citations
3.
Czarnul, Paweł, et al.. (2023). Energy-Aware Scheduling for High-Performance Computing Systems: A Survey. Energies. 16(2). 890–890. 33 indexed citations
4.
Czarnul, Paweł, et al.. (2023). Dynamic GPU power capping with online performance tracing for energy efficient GPU computing using DEPO tool. Future Generation Computer Systems. 145. 396–414. 14 indexed citations
5.
Sieradzan, Adam K., Emilia A. Lubecka, Cezary Czaplewski, et al.. (2022). Optimization of parallel implementation ofUNRESpackage for coarse‐grained simulations to treat large proteins. Journal of Computational Chemistry. 44(4). 602–625. 23 indexed citations
6.
Czarnul, Paweł, et al.. (2022). DEPO: A dynamic energy‐performance optimizer tool for automatic power capping for energy efficient high‐performance computing. Software Practice and Experience. 52(12). 2598–2634. 7 indexed citations
7.
Proficz, Jerzy. (2021). All-gather Algorithms Resilient to Imbalanced Process Arrival Patterns. ACM Transactions on Architecture and Code Optimization. 18(4). 1–22.
8.
Proficz, Jerzy. (2020). Process arrival pattern aware algorithms for acceleration of scatter and gather operations. Cluster Computing. 23(4). 2735–2751. 2 indexed citations
9.
Proficz, Jerzy, et al.. (2020). Improving Clairvoyant: reduction algorithm resilient to imbalanced process arrival patterns. The Journal of Supercomputing. 77(6). 6145–6177. 1 indexed citations
10.
Czarnul, Paweł, et al.. (2020). Survey of Methodologies, Approaches, and Challenges in Parallel Programming Using High-Performance Computing Systems. Scientific Programming. 2020. 1–19. 22 indexed citations
11.
Czarnul, Paweł, et al.. (2019). Extended investigation of performance-energy trade-offs under power capping in HPC environments. 440–447. 6 indexed citations
12.
Czarnul, Paweł, et al.. (2019). Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments. Scientific Programming. 2019. 1–19. 32 indexed citations
13.
Proficz, Jerzy, et al.. (2018). Analyzing energy/performance trade-offs with power capping for parallel applications on modern multi and many core processors. SHILAP Revista de lepidopterología. 15. 339–346. 13 indexed citations
14.
Czarnul, Paweł, et al.. (2017). MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems. Simulation Modelling Practice and Theory. 77. 124–140. 19 indexed citations
15.
Krawczyk, Henryk, et al.. (2011). Basic management strategies on KASKADA platform. 1–4. 2 indexed citations
16.
Krawczyk, Henryk, et al.. (2010). Parallel processing of multimedia streams. 8. 2 indexed citations
17.
Krawczyk, Henryk & Jerzy Proficz. (2010). THE TASK GRAPH ASSIGNMENT FOR KASKADA PLATFORM. 192–197. 3 indexed citations
18.
Krawczyk, Henryk & Jerzy Proficz. (2010). KASKADA – MULTIMEDIA PROCESSING PLATFORM ARCHITECTURE. 26–31. 7 indexed citations
19.
Krawczyk, Henryk, et al.. (2000). Suitability of the time controlled environment for race detection in distributed applications. Future Generation Computer Systems. 16(6). 625–635. 1 indexed citations
20.
Krawczyk, Henryk, et al.. (1998). Integrated static and dynamic analysis of PVM programs with STEPS. Computing and Informatics / Computers and Artificial Intelligence. 17(5). 441–453. 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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