Andrew Rowley

996 total citations
36 papers, 537 citations indexed

About

Andrew Rowley is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Andrew Rowley has authored 36 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 10 papers in Cognitive Neuroscience. Recurrent topics in Andrew Rowley's work include Advanced Memory and Neural Computing (12 papers), Neural dynamics and brain function (9 papers) and Semantic Web and Ontologies (9 papers). Andrew Rowley is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Neural dynamics and brain function (9 papers) and Semantic Web and Ontologies (9 papers). Andrew Rowley collaborates with scholars based in United Kingdom, United States and Spain. Andrew Rowley's co-authors include Steve Furber, Alan B. Stokes, Sophia Ananiadou, Rafał Rak, Oliver Rhodes, David Lester, Luis A. Plana, Andrew Gait, Christian Brenninkmeijer and Sampo Pyysalo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Andrew Rowley

36 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Rowley United Kingdom 13 270 217 168 127 104 36 537
Tony Plate Canada 13 203 0.8× 573 2.6× 174 1.0× 47 0.4× 15 0.1× 18 857
Max Ward Australia 10 234 0.9× 121 0.6× 108 0.6× 118 0.9× 54 0.5× 28 506
Don Monroe United States 6 91 0.3× 127 0.6× 38 0.2× 226 1.8× 17 0.2× 23 445
David H. Goldberg United States 13 198 0.7× 53 0.2× 194 1.2× 32 0.3× 135 1.3× 20 412
F. Howell United Kingdom 10 233 0.9× 43 0.2× 93 0.6× 40 0.3× 38 0.4× 22 407
Wesley A. Clark United States 10 110 0.4× 129 0.6× 138 0.8× 28 0.2× 73 0.7× 16 536
Wenqin Huangfu United States 9 470 1.7× 137 0.6× 27 0.2× 62 0.5× 141 1.4× 14 564
Hubert Soyer United Kingdom 5 53 0.2× 296 1.4× 243 1.4× 40 0.3× 51 0.5× 8 627
Junxian He China 16 140 0.5× 615 2.8× 48 0.3× 38 0.3× 38 0.4× 51 838
Zhe Zhou China 8 71 0.3× 114 0.5× 50 0.3× 28 0.2× 48 0.5× 22 341

Countries citing papers authored by Andrew Rowley

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Rowley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Rowley

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Rowley. A scholar is included among the top collaborators of Andrew Rowley 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 Andrew Rowley. Andrew Rowley 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.
Davies, Sergio, Andrew Gait, Andrew Rowley, & Alessandro Di Nuovo. (2024). Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker. Neurocomputing. 611. 128650–128650. 2 indexed citations
2.
Casellato, Claudia, Stefano Casali, Andrew Rowley, et al.. (2021). Towards a Bio-Inspired Real-Time Neuromorphic Cerebellum. Frontiers in Cellular Neuroscience. 15. 622870–622870. 12 indexed citations
3.
Rowley, Andrew, Christian Brenninkmeijer, Simon Davidson, et al.. (2019). SpiNNTools: The Execution Engine for the SpiNNaker Platform. Frontiers in Neuroscience. 13. 231–231. 26 indexed citations
4.
Rhodes, Oliver, Andrew Rowley, Andrew Gait, et al.. (2019). Real-time cortical simulation on neuromorphic hardware. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 378(2164). 20190160–20190160. 42 indexed citations
5.
Bhattacharya, Basabdatta Sen, Oliver Rhodes, Andrew Rowley, et al.. (2018). Building a Spiking Neural Network Model of the Basal Ganglia on SpiNNaker. IEEE Transactions on Cognitive and Developmental Systems. 10(3). 823–836. 22 indexed citations
6.
Rowley, Andrew, et al.. (2018). Structural Plasticity on the SpiNNaker Many-Core Neuromorphic System. Frontiers in Neuroscience. 12. 434–434. 7 indexed citations
7.
Rhodes, Oliver, Christian Brenninkmeijer, Simon Davidson, et al.. (2018). sPyNNaker: A Software Package for Running PyNN Simulations on SpiNNaker. Frontiers in Neuroscience. 12. 816–816. 63 indexed citations
8.
Rast, Alexander, Samantha V. Adams, Simon Davidson, et al.. (2018). Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach. IEEE Transactions on Neural Networks and Learning Systems. 29(12). 6132–6144. 18 indexed citations
9.
Albada, Sacha J. van, Andrew Rowley, Johanna Senk, et al.. (2018). Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model. Frontiers in Neuroscience. 12. 291–291. 98 indexed citations
10.
Bhattacharya, Basabdatta Sen, et al.. (2017). A Spiking Neural Network Model of the Lateral Geniculate Nucleus on the SpiNNaker Machine. Frontiers in Neuroscience. 11. 454–454. 8 indexed citations
11.
Rak, Rafał, Jacob Carter, Andrew Rowley, Riza Batista-Navarro, & Sophia Ananiadou. (2014). Interoperability and Customisation of Annotation Schemata in Argo. Language Resources and Evaluation. 3837–3842. 2 indexed citations
12.
Rak, Rafał, Andrew Rowley, Jacob Carter, & Sophia Ananiadou. (2013). Development and Analysis of NLP Pipelines in Argo. Research Explorer (The University of Manchester). 115–120. 6 indexed citations
13.
Ohta, Tomoko, Sampo Pyysalo, Rafał Rak, et al.. (2013). Overview of the Pathway Curation (PC) task of BioNLP Shared Task 2013. Research Explorer (The University of Manchester). 67–75. 32 indexed citations
14.
Miwa, Makoto, Tomoko Ohta, Rafał Rak, et al.. (2013). A method for integrating and ranking the evidence for biochemical pathways by mining reactions from text. Bioinformatics. 29(13). i44–i52. 22 indexed citations
15.
Rak, Rafał, Andrew Rowley, & Sophia Ananiadou. (2012). Collaborative Development and Evaluation of Text-processing Workflows in a UIMA-supported Web-based Workbench. Language Resources and Evaluation. 2971–2976. 4 indexed citations
16.
Gent, Ian P., Peter Nightingale, Andrew Rowley, & Kostas Stergiou. (2007). Solving quantified constraint satisfaction problems. Artificial Intelligence. 172(6-7). 738–771. 16 indexed citations
17.
Shum, Simon Buckingham, Roger Slack, Andrew Rowley, et al.. (2006). Memetic: An Infrastructure for Meeting Memory. 71–85. 16 indexed citations
18.
Gent, Ian P., Peter Nightingale, & Andrew Rowley. (2004). Encoding quantified CSPs as Quantified Boolean Formulae. European Conference on Artificial Intelligence. 176–180. 10 indexed citations
19.
Gent, Ian P. & Andrew Rowley. (2004). Solution Learning and Solution Directed Backjumping, Revisited. 4 indexed citations
20.
Rowley, Andrew & Jean Dollimore. (1995). Replicated Secure Shared Objects for Groupware Applications. Queen Mary Research Online (Queen Mary University of London). 5 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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