Denise Gorse

1.2k total citations
44 papers, 773 citations indexed

About

Denise Gorse is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Denise Gorse has authored 44 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 13 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Denise Gorse's work include Neural Networks and Applications (20 papers), Neural dynamics and brain function (13 papers) and Advanced Memory and Neural Computing (8 papers). Denise Gorse is often cited by papers focused on Neural Networks and Applications (20 papers), Neural dynamics and brain function (13 papers) and Advanced Memory and Neural Computing (8 papers). Denise Gorse collaborates with scholars based in United Kingdom, United States and Australia. Denise Gorse's co-authors include Janet M. Thornton, John G. Taylor, Adrian J. Shepherd, T.G. Clarkson, Hannes Ponstingl, J.G. Taylor, Jonathon Taylor, Chris Christodoulou, Herwig Ponstingl and Yang Zhao and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Proteins Structure Function and Bioinformatics.

In The Last Decade

Denise Gorse

41 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Denise Gorse United Kingdom	15	279	239	140	130	92	44	773
Tyler Derr United States	18	67 0.2×	820 3.4×	291 2.1×	36 0.3×	45 0.5×	56	1.1k
Walter A. Kosters Netherlands	17	131 0.5×	236 1.0×	75 0.5×	21 0.2×	20 0.2×	50	709
Mary Wootters United States	13	122 0.4×	233 1.0×	16 0.1×	20 0.2×	228 2.5×	48	643
Andrew Miller United States	12	126 0.5×	235 1.0×	469 3.4×	15 0.1×	31 0.3×	20	829
Marco Tomassini Switzerland	16	184 0.7×	741 3.1×	33 0.2×	17 0.1×	65 0.7×	52	1.0k
Vinko Zlatić Croatia	11	118 0.4×	86 0.4×	61 0.4×	76 0.6×	23 0.3×	35	703
Marcelo Blatt Israel	8	225 0.8×	253 1.1×	30 0.2×	44 0.3×	26 0.3×	12	666
Eran Shir Israel	5	82 0.3×	187 0.8×	60 0.4×	43 0.3×	32 0.3×	5	841
Fragkiskos D. Malliaros France	14	123 0.4×	400 1.7×	127 0.9×	27 0.2×	19 0.2×	40	977
Kenneth E. Whelan United Kingdom	4	357 1.3×	248 1.0×	37 0.3×	7 0.1×	47 0.5×	4	884

Countries citing papers authored by Denise Gorse

Since Specialization

Citations

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

Fields of papers citing papers by Denise Gorse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Gorse

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

Zhao, Yang & Denise Gorse. (2024). Earthquake prediction from seismic indicators using tree-based ensemble learning. Natural Hazards. 120(3). 2283–2309. 2 indexed citations

Gorse, Denise, et al.. (2022). Axial-LOB: High-Frequency Trading with Axial Attention. 30. 1327–1333. 2 indexed citations

Gorse, Denise, et al.. (2018). Reinforcement learning for high-frequency market making. UCL Discovery (University College London). 11 indexed citations

Gorse, Denise, et al.. (2017). Pseudo-analytical solutions for stochastic options pricing using Monte Carlo simulation and Breeding PSO-trained neural networks.. UCL Discovery (University College London). 2 indexed citations

Gorse, Denise, et al.. (2017). Predicting cryptocurrency price bubbles using social media data and epidemic modelling. 1–7. 88 indexed citations

Gorse, Denise. (2013). Binary particle swarm optimisation with improved scaling behaviour. UCL Discovery (University College London). 3 indexed citations

Gorse, Denise. (2011). Application of stochastic recurrent reinforcement learning to index trading. UCL Discovery (University College London). 16 indexed citations

Ponstingl, Herwig, et al.. (2005). Morphological aspects of oligorneric protein structures. UCL Discovery (University College London). 2 indexed citations

Ponstingl, Hannes, et al.. (2004). Morphological aspects of oligomeric protein structures. Progress in Biophysics and Molecular Biology. 89(1). 9–35. 62 indexed citations

10.

Shepherd, Adrian J., Denise Gorse, & Janet M. Thornton. (2002). A novel approach to the recognition of protein architecture from sequence using fourier analysis and neural networks. Proteins Structure Function and Bioinformatics. 50(2). 290–302. 24 indexed citations

11.

Gorse, Denise. (2002). Application of a chaperone‐based refolding method to two‐ and three‐dimensional off‐lattice protein models. Biopolymers. 64(3). 146–160. 13 indexed citations

12.

Shepherd, Adrian J., Denise Gorse, & Janet M. Thornton. (1999). Prediction of the location and type of β‐turns in proteins using neural networks. Protein Science. 8(5). 1045–1055. 93 indexed citations

13.

Gorse, Denise, et al.. (1994). A CLASSICAL ALGORITHM FOR AVOIDING LOCAL MINIMA. UCL Discovery (University College London). 9 indexed citations

14.

Clarkson, T.G., et al.. (1993). A STOCHASTIC REVERSE INTERPOLATION ALGORITHM FOR REAL-VALUED FUNCTION LEARNING. UCL Discovery (University College London). 1 indexed citations

15.

Clarkson, T.G., et al.. (1993). Generalization in probabilistic RAM nets. IEEE Transactions on Neural Networks. 4(2). 360–363. 12 indexed citations

16.

Gorse, Denise, et al.. (1992). THE USE OF ENCODED OUTPUTS AND REINFORCEMENT TRAINING IN PRAM NETS. UCL Discovery (University College London). 1 indexed citations

17.

Clarkson, T.G., Denise Gorse, & John G. Taylor. (1992). From Wetware to Hardware: Reverse Engineering Using Probabilistic RAMs. Journal of Intelligent Systems. 2(1-4). 11–30. 12 indexed citations

18.

Gorse, Denise & J.G. Taylor. (1991). ENCODING TEMPORAL STRUCTURE IN PROBABILISTIC RAM NETS. UCL Discovery (University College London). 3 indexed citations

19.

Gorse, Denise & Jonathon Taylor. (1991). REINFORCEMENT TRAINING STRATEGIES FOR PROBABILISTIC RAMS. UCL Discovery (University College London). 7 indexed citations

20.

Clarkson, T.G., Denise Gorse, & J.G. Taylor. (1989). Hardware realisable models of neural processing. 242–246. 19 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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