Peter Jacko

790 total citations
54 papers, 455 citations indexed

About

Peter Jacko is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Peter Jacko has authored 54 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Management Science and Operations Research, 26 papers in Electrical and Electronic Engineering and 23 papers in Computer Networks and Communications. Recurrent topics in Peter Jacko's work include Advanced Wireless Network Optimization (20 papers), Advanced Bandit Algorithms Research (18 papers) and Advanced MIMO Systems Optimization (12 papers). Peter Jacko is often cited by papers focused on Advanced Wireless Network Optimization (20 papers), Advanced Bandit Algorithms Research (18 papers) and Advanced MIMO Systems Optimization (12 papers). Peter Jacko collaborates with scholars based in United Kingdom, Spain and United States. Peter Jacko's co-authors include Urtzi Ayesta, Vincenzo Mancuso, Arash Asadi, Thomas Jaki, Sofía S. Villar, Fidel Liberal, Ianire Taboada, Vladimír Novák, Brunilde Sansò and Konstantin Avrachenkov and has published in prestigious journals such as European Journal of Operational Research, Statistics in Medicine and Operations Research.

In The Last Decade

Peter Jacko

49 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Jacko United Kingdom 13 233 220 167 82 56 54 455
Yuhan Zhang China 7 179 0.8× 70 0.3× 138 0.8× 22 0.3× 117 2.1× 10 449
E.M.M. Winands Netherlands 13 198 0.8× 277 1.3× 115 0.7× 26 0.3× 418 7.5× 42 601
Jan Kriege Germany 9 47 0.2× 124 0.6× 71 0.4× 25 0.3× 159 2.8× 29 295
Adam Ouorou France 12 86 0.4× 82 0.4× 86 0.5× 8 0.1× 44 0.8× 30 438
Juta Pichitlamken Thailand 8 40 0.2× 86 0.4× 166 1.0× 9 0.1× 114 2.0× 26 331
Toshikazu Kimura Japan 12 153 0.7× 152 0.7× 138 0.8× 34 0.4× 286 5.1× 30 507
A. V. Pechinkin Russia 7 112 0.5× 203 0.9× 105 0.6× 11 0.1× 260 4.6× 27 445
Koen De Turck Belgium 11 147 0.6× 133 0.6× 79 0.5× 39 0.5× 162 2.9× 60 348
P. P. Bocharov Russia 7 107 0.5× 195 0.9× 96 0.6× 14 0.2× 255 4.6× 25 434
H. Groenevelt United States 10 63 0.3× 174 0.8× 115 0.7× 13 0.2× 310 5.5× 12 549

Countries citing papers authored by Peter Jacko

Since Specialization
Citations

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

Fields of papers citing papers by Peter Jacko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Jacko

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Jacko. A scholar is included among the top collaborators of Peter Jacko 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 Peter Jacko. Peter Jacko 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.
Hees, Katharina, Franz König, Dominic Magirr, et al.. (2025). Treatment-Control Comparisons in Platform Trials Including Non-Concurrent Controls. Statistics in Biopharmaceutical Research. 18(1). 79–96. 1 indexed citations
2.
Jacko, Peter, et al.. (2025). Exact statistical analysis for response-adaptive clinical trials: A general and computationally tractable approach. Computational Statistics & Data Analysis. 211. 108207–108207. 1 indexed citations
3.
Ross, Jennifer, Jonathan Chipman, Peter Jacko, et al.. (2025). Randomization in the age of platform trials: unexplored challenges and some potential solutions. BMC Medical Research Methodology. 25(1). 268–268.
4.
Meyer, Elias Laurin, Michael Freitag, Peter Jacko, et al.. (2025). Why and how should we simulate platform trials? Learnings from EU-PEARL. BMC Medical Research Methodology. 25(1). 12–12.
5.
Berry, Lindsay R., et al.. (2024). Effects of Allocation Method and Time Trends on Identification of the Best Arm in Multi-Arm Trials. Statistics in Biopharmaceutical Research. 16(4). 512–525. 5 indexed citations
6.
Kheiri, Ahmed, et al.. (2024). Efficient Scheduling of GECCO Conferences using Hyper-heuristic Algorithms. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1732–1737.
7.
Jacko, Peter, et al.. (2024). A generic approach to conference scheduling with integer programming. European Journal of Operational Research. 317(2). 487–499. 1 indexed citations
8.
Hees, Katharina, et al.. (2023). NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls. SoftwareX. 23. 101437–101437. 5 indexed citations
9.
Burman, Carl‐Fredrik, Ekkehard Glimm, Stefan M. Gold, et al.. (2022). On model-based time trend adjustments in platform trials with non-concurrent controls. BMC Medical Research Methodology. 22(1). 228–228. 30 indexed citations
10.
Jacko, Peter, et al.. (2021). Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses. Computational Statistics & Data Analysis. 174. 107407–107407. 6 indexed citations
11.
Jacko, Peter, et al.. (2016). A Bayesian adaptive design for clinical trials in rare diseases. Computational Statistics & Data Analysis. 113. 136–153. 39 indexed citations
12.
Ayesta, Urtzi, Peter Jacko, & Vladimír Novák. (2015). Scheduling of multi-class multi-server queueing systems with abandonments. Journal of Scheduling. 20(2). 129–145. 6 indexed citations
13.
Taboada, Ianire, Fidel Liberal, & Peter Jacko. (2014). An opportunistic and non-anticipating size-aware scheduling proposal for mean holding cost minimization in time-varying channels. Performance Evaluation. 79. 90–103. 10 indexed citations
14.
Jacko, Peter, et al.. (2014). Optimal planning of slow-ramping power production in energy systems with renewables forecasts and limited storage. BIRD (Basque Center for Applied Mathematics). 1–6. 4 indexed citations
15.
Jacko, Peter, et al.. (2013). Scheduling of users with markovian time-varying transmission rates. 129–140. 12 indexed citations
16.
Jacko, Peter & Sofía S. Villar. (2012). Opportunistic schedulers for optimal scheduling of flows in wireless systems with ARQ feedback. 14. 3 indexed citations
17.
Sansò, Brunilde & Peter Jacko. (2007). Congestion Avoidance with Future-Path Information. Les Cahiers du GERAD. 1–16. 3 indexed citations
18.
Jacko, Peter & José Niño‐Mora. (2007). Time-Constrained Restless Bandits and the Knapsack Problem for Perishable Items (Extended Abstract). Electronic Notes in Discrete Mathematics. 28. 145–152. 3 indexed citations
19.
Jacko, Peter & Stanislav Jendrol′. (2005). Distance Coloring of the Hexagonal Lattice. Discussiones Mathematicae Graph Theory. 25(1-2). 151–151. 5 indexed citations
20.
Jacko, Peter. (2004). Enriching the Job Enrichment Theory Research Methods for the Social Scientist. 1 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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