Steven Reece

2.8k citations
52 papers · 1.6k indexed · 1 hit paper · h-index 20

Steven Reece

47 papers receiving 1.5k citations

Hit Papers

Gaussian processes for time-series modelling3722013202620172021100200300

Peers

Steven Reece
Comparison fields: 5 of 134
  • Instrumentation 95
  • Environmental Engineering 277
  • Water Science and Technology 234
  • Artificial Intelligence 440
  • Astronomy and Astrophysics 220
Replace Hongjun Su with:
Hongjun Su China
Alberto García-García Spain
Yongjun Zhang China
Fernando M. Ramos Brazil
Daniel Morris United States
Steven E. Golowich United States
Junjie Wu China
LI Deren China
Qian Zhang China
Katrien Van Driessen Belgium
Steven Reece relative to Hongjun Su China Hongjun Su's profile →
Citations per field
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Citations per year

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

The 25 scholars most cited alongside Steven Reece, 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 Steven Reece Line = papers co-authored together Steven Reece links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202350
2 202295
3 202219
4 202112
5 202111
6 2021144
7 20211
8 20201
9
A Machine Learning Pipeline to Predict Vegetation Health
20201
10 202091
11 201714
12 201524
13
Multi-Sensor Fault Recovery in the Presence of Known and Unknown Fault Types
200920
14
A multi-dimensional trust model for heterogeneous contract observations
200715
15 200737
16 20062
17 200614
18
A qualitative approach to sensor data fusion for mobile robot navigation
19955
19 199411
20
A comparison of architectures for autonomous multi-agent communication
19922

About Steven Reece

Steven Reece is a scholar working on Artificial Intelligence, Computer Science Applications, Signal Processing, Water Science and Technology and Environmental Engineering, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Gaussian Processes and Bayesian Inference (9 papers), Multi-Agent Systems and Negotiation (6 papers), Flood Risk Assessment and Management (6 papers), Hydrology and Watershed Management Studies (6 papers), Hydrological Forecasting Using AI (5 papers), Fault Detection and Control Systems (5 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Instrumentation (95 citations), Environmental Engineering (277 citations), Water Science and Technology (234 citations), Artificial Intelligence (440 citations) and Astronomy and Astrophysics (220 citations). Steven Reece has collaborated with scholars based in United Kingdom, United States and Austria. Frequent 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. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Hydrology and earth system sciences, The Computer Journal, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Journal of Neurophysiology.

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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