Adrian Wills

3.4k total citations · 1 hit paper
92 papers, 2.5k citations indexed

About

Adrian Wills is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Adrian Wills has authored 92 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Control and Systems Engineering, 26 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Adrian Wills's work include Control Systems and Identification (52 papers), Fault Detection and Control Systems (40 papers) and Advanced Control Systems Optimization (25 papers). Adrian Wills is often cited by papers focused on Control Systems and Identification (52 papers), Fault Detection and Control Systems (40 papers) and Advanced Control Systems Optimization (25 papers). Adrian Wills collaborates with scholars based in Australia, Sweden and United Kingdom. Adrian Wills's co-authors include Brett Ninness, Thomas B. Schön, Lennart Ljung, William P. Heath, Andrew J. Fleming, Anna Hagenblad, Adam J. Mills, S. O. Reza Moheimani, Stuart Gibson and Chengpu Yu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Adrian Wills

88 papers receiving 2.4k citations

Hit Papers

System identification of nonlinear state-space models 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian Wills Australia 25 1.8k 547 323 240 216 92 2.5k
Wen‐Juan Lin China 20 701 0.4× 242 0.4× 185 0.6× 386 1.6× 181 0.8× 42 1.7k
Zhenhua Wang China 33 2.6k 1.4× 593 1.1× 88 0.3× 197 0.8× 183 0.8× 215 3.2k
M.J. Grimble United Kingdom 34 3.8k 2.0× 651 1.2× 177 0.5× 320 1.3× 527 2.4× 406 4.7k
S. Bittanti Italy 34 2.7k 1.5× 457 0.8× 667 2.1× 359 1.5× 634 2.9× 261 4.4k
H. Unbehauen Germany 26 2.7k 1.4× 500 0.9× 312 1.0× 209 0.9× 398 1.8× 170 3.1k
Brett Ninness Australia 30 3.0k 1.7× 708 1.3× 752 2.3× 300 1.3× 254 1.2× 138 3.9k
Tohru Katayama Japan 19 1.8k 1.0× 247 0.5× 378 1.2× 127 0.5× 193 0.9× 147 2.2k
Ioan Doré Landau France 34 3.3k 1.8× 418 0.8× 409 1.3× 346 1.4× 550 2.5× 203 4.1k
Andrew Packard United States 30 2.8k 1.5× 142 0.3× 179 0.6× 300 1.3× 242 1.1× 113 4.0k
P. Dorato United States 30 4.3k 2.4× 344 0.6× 157 0.5× 284 1.2× 260 1.2× 122 5.2k

Countries citing papers authored by Adrian Wills

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Wills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Wills

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Wills. A scholar is included among the top collaborators of Adrian Wills 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 Adrian Wills. Adrian Wills 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.
Wills, Adrian, et al.. (2025). Estimation of distribution grid line parameters using smart meter data with missing measurements. International Journal of Electrical Power & Energy Systems. 168. 110634–110634.
2.
Ribbons, Karen, Sarah J. Johnson, Adrian Wills, et al.. (2025). Determining patient activity goals and their fulfillment following total knee arthroplasty: Findings from the prospective, observational SuPeR Knee study. PLoS ONE. 20(1). e0317205–e0317205.
3.
Ribbons, Karen, Sarah J. Johnson, Adrian Wills, et al.. (2025). Biopsychosocial based machine learning models predict patient improvement after total knee arthroplasty. Scientific Reports. 15(1). 4926–4926. 1 indexed citations
4.
Wills, Adrian, et al.. (2024). Modified Distflow: Novel Power Flow Model for Distribution Grid. ANU Open Research (Australian National University). 1–5. 1 indexed citations
5.
Wills, Adrian, et al.. (2023). Inferring the probability distribution over strain tensors in polycrystals from diffraction based measurements. Computer Methods in Applied Mechanics and Engineering. 417. 116417–116417.
7.
Wills, Adrian, et al.. (2023). A Numerically Robust Bayesian Filtering Algorithm for Gaussian Mixture Models. IFAC-PapersOnLine. 56(1). 67–72. 3 indexed citations
8.
Wills, Adrian, et al.. (2022). Smoothed State Estimation via Efficient Solution of Linear Equations. IEEE Transactions on Automatic Control. 68(10). 5877–5889. 2 indexed citations
9.
Eielsen, Arnfinn A., John Leth, Andrew J. Fleming, Adrian Wills, & Brett Ninness. (2020). Large-Amplitude Dithering Mitigates Glitches in Digital-to-Analogue Converters. IEEE Transactions on Signal Processing. 68. 1950–1963. 7 indexed citations
10.
Flynn, Traci, et al.. (2020). Clinical Decision Support Tools for Predicting Outcomes in Patients Undergoing Total Knee Arthroplasty: A Systematic Review. The Journal of Arthroplasty. 36(5). 1832–1845.e1. 10 indexed citations
11.
Yu, Chengpu, Lennart Ljung, Adrian Wills, & Michel Verhaegen. (2019). Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS). IEEE Transactions on Automatic Control. 65(10). 4201–4214. 69 indexed citations
12.
Wensrich, C.M., Adrian Wills, Anton S. Tremsin, et al.. (2018). Tomographic Reconstruction of Two-Dimensional Residual Strain Fields from Bragg-Edge Neutron Imaging. Physical Review Applied. 10(6). 19 indexed citations
13.
Wills, Adrian, et al.. (2017). Gradient-based optimization for efficient exposure planning in maskless lithography. Journal of Micro/Nanolithography MEMS and MOEMS. 16(3). 1–1. 8 indexed citations
14.
Giudice, Antonio Del, et al.. (2017). Development of a planning tool for network ancillary services using customer-owned solar and battery storage. ENEA Open Archive (National Agency for New Technologies, Energy and Sustainable Economic Development). 1–6. 1 indexed citations
15.
Fleming, Andrew J., et al.. (2016). A nonlinear programming approach to exposure optimization in scanning laser lithography. 5811–5816. 4 indexed citations
17.
Hagenblad, Anna, Lennart Ljung, & Adrian Wills. (2008). Maximum likelihood identification of Wiener models. Automatica. 44(11). 2697–2705. 143 indexed citations
18.
Heath, William P. & Adrian Wills. (2006). Zames-Falb multipliers for quadratic programming. 963–968. 13 indexed citations
19.
Heath, William P. & Adrian Wills. (2004). Design of Cross-Directional Controllers with Optimal Steady State Performance*. European Journal of Control. 10(1). 15–27. 23 indexed citations
20.
McNicholas, Michael, et al.. (2003). Joint Conference of BASEM and BASES. British Journal of Sports Medicine. 37(5). 464–470. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026