Steven Reece

2.8k total citations · 1 hit paper
52 papers, 1.6k citations indexed

About

Steven Reece is a scholar working on Artificial Intelligence, Signal Processing and Global and Planetary Change. According to data from OpenAlex, Steven Reece has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 7 papers in Signal Processing and 7 papers in Global and Planetary Change. Recurrent topics in Steven Reece's work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Gaussian Processes and Bayesian Inference (9 papers) and Multi-Agent Systems and Negotiation (6 papers). Steven Reece is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (10 papers), Gaussian Processes and Bayesian Inference (9 papers) and Multi-Agent Systems and Negotiation (6 papers). Steven Reece collaborates with scholars based in United Kingdom, United States and Austria. Steven Reece's co-authors include Stephen Roberts, Michael A. Osborne, S. Aigrain, Neale P. Gibson, Mark Ebden, Thomas Lees, Simon Dadson, Louise Slater, Vinesh Rajpaul and Nicholas R. Jennings and has published in prestigious journals such as Journal of Neurophysiology, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Signal Processing.

In The Last Decade

Steven Reece

47 papers receiving 1.5k citations

Hit Papers

Gaussian processes for time-series modelling 2013 2026 2017 2021 2013 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Gaussian processes for time-series modelling
    2013 372 citations Stephen Roberts, Steven Reece et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Reece United Kingdom 20 440 277 235 234 220 52 1.6k
Hongjun Su China 30 584 1.3× 182 0.7× 211 0.9× 65 0.3× 168 0.8× 145 3.9k
Qian Zhang China 28 485 1.1× 333 1.2× 331 1.4× 116 0.5× 52 0.2× 175 3.8k
Fernando M. Ramos Brazil 25 149 0.3× 228 0.8× 546 2.3× 130 0.6× 76 0.3× 111 2.2k
Jun Zhu China 26 172 0.4× 178 0.6× 314 1.3× 51 0.2× 109 0.5× 130 1.8k
LI Deren China 17 179 0.4× 257 0.9× 304 1.3× 56 0.2× 63 0.3× 142 1.8k
Nina Golyandina Russia 14 233 0.5× 149 0.5× 251 1.1× 70 0.3× 65 0.3× 36 2.4k
Amy McGovern United States 28 697 1.6× 543 2.0× 1.1k 4.8× 112 0.5× 42 0.2× 96 2.6k
Fei Wang China 20 325 0.7× 186 0.7× 192 0.8× 116 0.5× 21 0.1× 141 1.6k
Alberto García-García Spain 15 421 1.0× 311 1.1× 122 0.5× 36 0.2× 67 0.3× 34 2.6k
Nicolas H. Younan United States 21 308 0.7× 337 1.2× 186 0.8× 63 0.3× 17 0.1× 177 2.5k

Countries citing papers authored by Steven Reece

Since Specialization
Citations

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

Fields of papers citing papers by Steven Reece

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Reece

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Reece. A scholar is included among the top collaborators of Steven Reece 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 Steven Reece. Steven Reece 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.
Tang, Kevin, Steven Reece, Conor Hickey, et al.. (2023). Global database of cement production assets and upstream suppliers. Scientific Data. 10(1). 696–696. 50 indexed citations
2.
Lees, Thomas, Steven Reece, Frederik Kratzert, et al.. (2022). Hydrological concept formation inside long short-term memory (LSTM) networks. Hydrology and earth system sciences. 26(12). 3079–3101. 95 indexed citations
3.
Lees, Thomas, et al.. (2022). Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya. Remote Sensing. 14(3). 698–698. 19 indexed citations
4.
Lees, Thomas, Steven Reece, Frederik Kratzert, et al.. (2021). Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks. 12 indexed citations
5.
6.
Lees, Thomas, Marcus Buechel, Bailey Anderson, et al.. (2021). Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models. Hydrology and earth system sciences. 25(10). 5517–5534. 144 indexed citations
7.
Lees, Thomas, Marcus Buechel, Bailey Anderson, et al.. (2021). Rainfall-Runoff Simulation and Interpretation in Great Britain using LSTMs. 1 indexed citations
8.
9.
Lees, Thomas, et al.. (2020). A Machine Learning Pipeline to Predict Vegetation Health. International Conference on Learning Representations. 1 indexed citations
10.
Duporge, Isla, et al.. (2020). Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes. Remote Sensing in Ecology and Conservation. 7(3). 369–381. 91 indexed citations
11.
Aigrain, S., H. Parviainen, Stephen Roberts, Steven Reece, & T. M. Evans. (2017). Robust, open-source removal of systematics in Kepler data. Monthly Notices of the Royal Astronomical Society. 471(1). 759–769. 14 indexed citations
12.
Ramchurn, Sarvapali D., Trung Dong Huynh, Feng Wu, et al.. (2015). HAC-ER: A Disaster Response System based on Human-Agent Collectives. Adaptive Agents and Multi-Agents Systems. 533–541. 24 indexed citations
13.
Reece, Steven, et al.. (2009). Multi-Sensor Fault Recovery in the Presence of Known and Unknown Fault Types. Oxford University Research Archive (ORA) (University of Oxford). 20 indexed citations
14.
Reece, Steven, Stephen Roberts, Alex Rogers, & Nicholas R. Jennings. (2007). A multi-dimensional trust model for heterogeneous contract observations. ePrints Soton (University of Southampton). 128–135. 15 indexed citations
15.
Reece, Steven, Alex Rogers, Stephen Roberts, & Nicholas R. Jennings. (2007). Rumours and reputation. 1–8. 37 indexed citations
16.
Rogers, A., Rajdeep K. Dash, Nicholas R. Jennings, Steven Reece, & Stephen Roberts. (2006). Computational mechanism design for multi-sensor information fusion. 1463–1464. 2 indexed citations
17.
Rogers, A., Ratnakar Dash, Nicholas R. Jennings, Steven Reece, & Stephen Roberts. (2006). Computational Mechanism Design for Information Fusion within Sensor Networks. 1–7. 14 indexed citations
18.
Reece, Steven & Hugh Durrant‐Whyte. (1995). A qualitative approach to sensor data fusion for mobile robot navigation. International Joint Conference on Artificial Intelligence. 36–41. 5 indexed citations
19.
Logan, Brian, Steven Reece, & Karen Spärck Jones. (1994). Modelling information retrieval agents with belief revision. International ACM SIGIR Conference on Research and Development in Information Retrieval. 91–100. 11 indexed citations
20.
Cawsey, Alison, et al.. (1992). A comparison of architectures for autonomous multi-agent communication. European Conference on Artificial Intelligence. 249–251. 2 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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