Paul Duckworth

566 total citations
23 papers, 190 citations indexed

About

Paul Duckworth is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Paul Duckworth has authored 23 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Control and Systems Engineering. Recurrent topics in Paul Duckworth's work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (6 papers) and Robotic Path Planning Algorithms (4 papers). Paul Duckworth is often cited by papers focused on Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (6 papers) and Robotic Path Planning Algorithms (4 papers). Paul Duckworth collaborates with scholars based in United Kingdom, United States and Sweden. Paul Duckworth's co-authors include David Hogg, Anthony G. Cohn, Nick Hawes, Muhannad Alomari, Bruno Lacerda, Michael A. Osborne, Angela Coulter, Eric T. Meyer, Yiannis Gatsoulis and Jana Tůmová and has published in prestigious journals such as Technological Forecasting and Social Change, Artificial Intelligence and BMJ Open.

In The Last Decade

Paul Duckworth

22 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Duckworth United Kingdom 9 90 88 29 16 16 23 190
Begoña Martínez‐Salvador Spain 7 57 0.6× 71 0.8× 31 1.1× 9 0.6× 32 2.0× 18 230
Aakash Kumar China 8 73 0.8× 91 1.0× 26 0.9× 4 0.3× 14 0.9× 33 185
S Aswathy India 10 77 0.9× 46 0.5× 6 0.2× 9 0.6× 4 0.3× 32 287
Michael L. Pack United States 10 104 1.2× 41 0.5× 17 0.6× 4 0.3× 3 0.2× 31 267
Thirunavukarasu Balasubramaniam Australia 9 73 0.8× 81 0.9× 9 0.3× 4 0.3× 3 0.2× 23 232
Zheming Zuo United Kingdom 9 77 0.9× 72 0.8× 9 0.3× 2 0.1× 13 0.8× 17 171
Eduard Babulak United States 6 52 0.6× 21 0.2× 10 0.3× 9 0.6× 9 0.6× 43 190
Jiaji Wang China 7 29 0.3× 41 0.5× 8 0.3× 5 0.3× 3 0.2× 12 202
Julia Badger United States 8 22 0.2× 74 0.8× 40 1.4× 3 0.2× 39 2.4× 20 226
Maryam Shabbir Pakistan 6 36 0.4× 81 0.9× 7 0.2× 2 0.1× 12 0.8× 15 221

Countries citing papers authored by Paul Duckworth

Since Specialization
Citations

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

Fields of papers citing papers by Paul Duckworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Duckworth

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Duckworth. A scholar is included among the top collaborators of Paul Duckworth 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 Paul Duckworth. Paul Duckworth 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.
Duckworth, Paul, et al.. (2024). Correction: Planning under uncertainty for safe robot exploration using gaussian process prediction. Autonomous Robots. 48(8). 1 indexed citations
2.
Duckworth, Paul, et al.. (2024). Planning under uncertainty for safe robot exploration using Gaussian process prediction. Autonomous Robots. 48(7). 18–18. 1 indexed citations
3.
Duckworth, Paul, et al.. (2024). SPO: Sequential Monte Carlo Policy Optimisation. 1019–1057.
4.
Duckworth, Paul, et al.. (2021). Towards better healthcare: What could and should be automated?. Technological Forecasting and Social Change. 172. 120967–120967. 12 indexed citations
5.
Rutherford, Alex, Paul Duckworth, Nick Hawes, & Bruno Lacerda. (2021). Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. 3 indexed citations
6.
Duckworth, Paul, Bruno Lacerda, & Nick Hawes. (2020). Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. Oxford University Research Archive (ORA) (University of Oxford). 1654–1668. 3 indexed citations
7.
Duckworth, Paul, et al.. (2020). Qualitative and quantitative approach to assess the potential for automating administrative tasks in general practice. BMJ Open. 10(6). e032412–e032412. 22 indexed citations
8.
Duckworth, Paul, et al.. (2020). Adaptive Manipulator Control using Active Inference with Precision Learning. 3. 105–107. 1 indexed citations
9.
Budd, Matthew, Bruno Lacerda, Paul Duckworth, et al.. (2020). Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. Research Explorer (The University of Manchester). 7344–7350. 12 indexed citations
10.
Duckworth, Paul, David Hogg, & Anthony G. Cohn. (2019). Unsupervised human activity analysis for intelligent mobile robots. Artificial Intelligence. 270. 67–92. 19 indexed citations
11.
Duckworth, Paul, Logan Graham, & Michael A. Osborne. (2019). Inferring Work Task Automatability from AI Expert Evidence. 485–491. 7 indexed citations
12.
Duckworth, Paul, et al.. (2018). The Future of Health Care: Protocol for Measuring the Potential of Task Automation Grounded in the National Health Service Primary Care System. JMIR Research Protocols. 8(4). e11232–e11232. 8 indexed citations
13.
Duckworth, Paul. (2018). Unsupervised Human Activity Analysis for Intelligent Mobile Robot. KI - Künstliche Intelligenz. 32(4). 291–294. 1 indexed citations
14.
Alomari, Muhannad, Paul Duckworth, David Hogg, & Anthony G. Cohn. (2017). Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2 indexed citations
15.
Alomari, Muhannad, et al.. (2017). Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands. 35–43. 5 indexed citations
16.
Alomari, Muhannad, Paul Duckworth, David Hogg, & Anthony G. Cohn. (2017). Natural Language Acquisition and Grounding for Embodied Robotic Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 23 indexed citations
17.
Alomari, Muhannad, et al.. (2017). Grounding of Human Environments and Activities for Autonomous Robots. 1395–1402. 8 indexed citations
18.
Duckworth, Paul, Muhannad Alomari, James Charles, David Hogg, & Anthony G. Cohn. (2017). Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 8 indexed citations
19.
Duckworth, Paul, Yiannis Gatsoulis, Ferdian Jovan, et al.. (2016). Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. Adaptive Agents and Multi-Agents Systems. 1043–1051. 8 indexed citations
20.
Gatsoulis, Yiannis, Muhannad Alomari, Christian Dondrup, et al.. (2016). QSRlib: a software library for online acquisition of qualitative spatial relations from video. Lincoln Repository (University of Lincoln). 23 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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2026