Marcus Frean

4.2k citations
70 papers · 2.4k indexed · h-index 22

Marcus Frean

67 papers receiving 2.2k citations

Peers

Marcus Frean
Comparison fields: 5 of 156
  • Artificial Intelligence 1.2k
  • Software 95
  • Computer Vision and Pattern Recognition 389
  • Signal Processing 161
  • Information Systems 298
Replace Heinz Mühlenbein with:
Heinz Mühlenbein Germany
Victoria Stodden United States
Peican Zhu China
René Doursat France
Gavin Brown United Kingdom
Tobias Scheffer Germany
Conor Ryan Ireland
Sung-Hyuk Cha United States
Christopher Meek United States
Ethem Alpaydın Türkiye
Marcus Frean relative to Heinz Mühlenbein Germany Heinz Mühlenbein's profile →
Citations per field
00.5×1.5×2.4×
Heinz Mühlenbein · 1×
Citations per year

Countries citing papers authored by Marcus Frean

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Frean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marcus Frean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcus Frean Line = papers co-authored together Marcus Frean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 20232
3 20222
4 201514
5
Particle filter parallelisation using random network based resampling
20145
6
Adapting the multi-Bernoulli filter to phased array observations using MUSIC as pseudo-likelihood
201410
7 20136
8
Memetic Cooperative Co-evolutionary Recurrent Neural Networks
20111
9 20110
10 2006116
11
Dependent Gaussian Processes
2004140
12 200422
13
Real-valued evolutionary optimization using a flexible probability density estimator
199951
14
Boosting Algorithms as Gradient Descent
1999441
15
Boosting Algorithms as Gradient Descent in Function Space
1999110
16
Support Vector methods in learning and feature extraction
199821
17
General cost functions for support vector regression.
199858
18
Learning and Generalisation in a Stable Network.
19972
19 199648
20 199476

About Marcus Frean

Marcus Frean is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Statistical and Nonlinear Physics and Computer Science Applications, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Evolutionary Game Theory and Cooperation (11 papers), Evolutionary Algorithms and Applications (8 papers), Caching and Content Delivery (8 papers), Mobile Ad Hoc Networks (7 papers), Cooperative Communication and Network Coding (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Software (95 citations), Computer Vision and Pattern Recognition (389 citations), Signal Processing (161 citations) and Information Systems (298 citations). Marcus Frean has collaborated with scholars based in New Zealand, Australia and Germany. Frequent co-authors include Llew Mason, Edward R. Abraham, Jonathan Baxter, Peter L. Bartlett, James Noble, Marcus Gallagher, Alex Potanin, Robert Biddle, Rohitash Chandra and Jun Zhang. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Network Computation in Neural Systems, The Astrophysical Journal, Neural Computation and Neurocomputing.

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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