Karl Mason

953 total citations
28 papers, 666 citations indexed

About

Karl Mason is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Karl Mason has authored 28 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 8 papers in Computational Theory and Mathematics. Recurrent topics in Karl Mason's work include Smart Grid Energy Management (9 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Karl Mason is often cited by papers focused on Smart Grid Energy Management (9 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Karl Mason collaborates with scholars based in Ireland, United States and United Kingdom. Karl Mason's co-authors include Enda Howley, Jim Duggan, Enda Barrett, Patrick Mannion, Santiago Grijalva, Matthew J. Reno, Logan Blakely, Sam Devlin, Abdul Wahid and Meysam Qadrdan and has published in prestigious journals such as Advanced Functional Materials, Applied Energy and Energy.

In The Last Decade

Karl Mason

26 papers receiving 640 citations

Peers

Karl Mason

EEE

CNC

Syibrah Naim Malaysia

Syed Muhammad Mohsin Pakistan

Lvjiang Yin China

Nasir Ayub Pakistan

Minh Thanh Vo Vietnam

Awni Hammouri Jordan

Miguel Delgado Calvo-Flores Spain

Manzoor Ilahi Pakistan

Christian von Lücken Paraguay

Syibrah Naim Malaysia

Karl Mason

222 ×0.7

EEE

269 ×1.3

57 ×0.4

46 ×0.3

CNC

73 ×1.0

Citations per year, relative to Karl Mason Karl Mason (= 1×) peers Syibrah Naim

Countries citing papers authored by Karl Mason

Since Specialization

Citations

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

Fields of papers citing papers by Karl Mason

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Mason

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Mason. A scholar is included among the top collaborators of Karl Mason 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 Karl Mason. Karl Mason 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

Mason, Karl, et al.. (2025). Extending Evolution-Guided Policy Gradient Learning into the multi-objective domain. Neurocomputing. 636. 129991–129991.

Mason, Karl, et al.. (2025). Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks. Advanced Functional Materials. 35(30). 8 indexed citations

Mason, Karl, et al.. (2025). In-situ quality monitoring during embedded bioprinting using integrated microscopy and classical computer vision. Biofabrication. 17(2). 25004–25004. 8 indexed citations

Wahid, Abdul, et al.. (2024). Peer-to-peer energy trading in dairy farms using multi-agent systems. Computers & Electrical Engineering. 118. 109437–109437. 7 indexed citations

Schukat, Michael, et al.. (2024). An agent-based modeling approach for simulating solar PV adoption: A case study of Irish dairy farms. Renewable energy focus. 51. 100653–100653. 2 indexed citations

Mannion, Patrick, et al.. (2024). Inferring preferences from demonstrations in multi-objective reinforcement learning. Neural Computing and Applications. 36(36). 22845–22865. 1 indexed citations

Mason, Karl, et al.. (2024). A reinforcement learning approach to dairy farm battery management using Q learning. Journal of Energy Storage. 93. 112031–112031. 6 indexed citations

Wahid, Abdul, et al.. (2024). Multi-agent systems in Peer-to-Peer energy trading: A comprehensive survey. Engineering Applications of Artificial Intelligence. 132. 107847–107847. 21 indexed citations

Mannion, Patrick, et al.. (2022). A multi‐objective multi‐agent deep reinforcement learning approach to residential appliance scheduling. IET Smart Grid. 5(4). 260–280. 20 indexed citations

10.

Mason, Karl, Meysam Qadrdan, & Nick Jenkins. (2021). Investing in generation and storage capacity in a liberalised electricity market: An agent based approach. Applied Energy. 294. 116905–116905. 11 indexed citations

11.

Mason, Karl, et al.. (2021). Detecting Behind-the-Meter PV Installation Using Convolutional Neural Networks. 1–6. 1 indexed citations

12.

Mason, Karl, et al.. (2018). Predicting host CPU utilization in the cloud using evolutionary neural networks. Future Generation Computer Systems. 86. 162–173. 77 indexed citations

13.

Mason, Karl, Jim Duggan, & Enda Howley. (2018). Watershed management using neuroevolution. Modeling Earth Systems and Environment. 4(4). 1445–1448. 1 indexed citations

14.

Mason, Karl, Jim Duggan, & Enda Howley. (2018). A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch. International Journal of Electrical Power & Energy Systems. 100. 201–221. 76 indexed citations

15.

Mason, Karl, Jim Duggan, & Enda Howley. (2018). Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks. Energy. 155. 705–720. 111 indexed citations

16.

Mannion, Patrick, Sam Devlin, Karl Mason, Jim Duggan, & Enda Howley. (2017). Policy invariance under reward transformations for multi-objective reinforcement learning. Neurocomputing. 263. 60–73. 27 indexed citations

17.

Mason, Karl, Jim Duggan, & Enda Howley. (2017). Neural network topology and weight optimization through neuro differential evolution. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 213–214. 16 indexed citations

18.

Mason, Karl, et al.. (2017). Predicting host CPU utilization in cloud computing using recurrent neural networks. 67–72. 61 indexed citations

19.

Mannion, Patrick, Karl Mason, Sam Devlin, Jim Duggan, & Enda Howley. (2016). Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1345–1346. 14 indexed citations

20.

Howley, Enda & Karl Mason. (2016). Exploring avoidance strategies and neighbourhood topologies in particle swarm optimisation. 2(2/3/4). 188–188. 6 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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