Will Perkins

3.5k total citations · 1 hit paper
143 papers, 2.1k citations indexed

About

Will Perkins is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Will Perkins has authored 143 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Control and Systems Engineering, 27 papers in Computational Theory and Mathematics and 25 papers in Statistics and Probability. Recurrent topics in Will Perkins's work include Stability and Control of Uncertain Systems (30 papers), Advanced Control Systems Optimization (26 papers) and Markov Chains and Monte Carlo Methods (23 papers). Will Perkins is often cited by papers focused on Stability and Control of Uncertain Systems (30 papers), Advanced Control Systems Optimization (26 papers) and Markov Chains and Monte Carlo Methods (23 papers). Will Perkins collaborates with scholars based in United States, United Kingdom and Germany. Will Perkins's co-authors include Robert J. Veillette, J.B. Cruz, J. Medanić, Tamer Başar, James W. Melody, Petros G. Voulgaris, Ümi̇t Özgüner, M.H. Shor, P.V. Kokotović and Nadine Sarter and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Automatica.

In The Last Decade

Will Perkins

136 papers receiving 2.0k citations

Hit Papers

Design of reliable control systems 1992 2026 2003 2014 1992 100 200 300 400 500
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. Design of reliable control systems
    1992 510 citations Will Perkins et al. IEEE Transactions on Automatic Control profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Will Perkins United States 23 1.2k 386 273 208 192 143 2.1k
Ν.Κ. Sinha Canada 22 1.1k 0.9× 445 1.2× 106 0.4× 331 1.6× 300 1.6× 199 2.0k
Alexander B. Kurzhanski Russia 18 1.1k 0.9× 431 1.1× 592 2.2× 253 1.2× 48 0.3× 91 1.8k
R.R. Mohler United States 23 1.2k 1.0× 133 0.3× 144 0.5× 237 1.1× 147 0.8× 116 2.0k
David D. Sworder United States 19 1.2k 1.0× 229 0.6× 154 0.6× 636 3.1× 99 0.5× 111 2.1k
Dominikus Noll France 28 1.3k 1.1× 219 0.6× 654 2.4× 86 0.4× 99 0.5× 130 2.6k
A. Haddad United States 17 878 0.7× 389 1.0× 108 0.4× 537 2.6× 91 0.5× 84 1.9k
Zvi Artstein Israel 29 2.0k 1.6× 177 0.5× 857 3.1× 131 0.6× 249 1.3× 109 3.6k
J.S. Meditch United States 19 894 0.7× 381 1.0× 117 0.4× 446 2.1× 115 0.6× 86 2.0k
Arthur E. Bryson United States 26 1.4k 1.1× 1.5k 3.9× 222 0.8× 245 1.2× 197 1.0× 71 3.2k
George M. Siouris United States 14 952 0.8× 914 2.4× 106 0.4× 415 2.0× 186 1.0× 21 2.3k

Countries citing papers authored by Will Perkins

Since Specialization
Citations

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

Fields of papers citing papers by Will Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Perkins

This figure shows the co-authorship network connecting the top 25 collaborators of Will Perkins. A scholar is included among the top collaborators of Will Perkins 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 Will Perkins. Will Perkins 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.
Perkins, Will. (2024). Searching for (sharp) thresholds in random structures: Where are we now?. Bulletin of the American Mathematical Society. 62(1). 113–143.
2.
Perkins, Will, et al.. (2023). Frozen 1‐RSB structure of the symmetric Ising perceptron. Random Structures and Algorithms. 64(4). 856–877. 2 indexed citations
3.
Perkins, Will, et al.. (2023). Finite-size scaling, phase coexistence, and algorithms for the random cluster model on random graphs. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 59(2). 6 indexed citations
4.
Perkins, Will, et al.. (2023). Fast and Perfect Sampling of Subgraphs and Polymer Systems. ACM Transactions on Algorithms. 20(1). 1–30. 2 indexed citations
5.
Galvin, David, et al.. (2023). On the zeroes of hypergraph independence polynomials. Combinatorics Probability Computing. 33(1). 65–84. 2 indexed citations
6.
Galanis, Andreas, et al.. (2020). Fast algorithms at low temperatures via Markov chains†. Random Structures and Algorithms. 58(2). 294–321. 12 indexed citations
7.
Galanis, Andreas, et al.. (2019). Fast Algorithms at Low Temperatures via Markov Chains. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 4 indexed citations
8.
Keevash, Peter, et al.. (2019). Algorithms for #BIS-hard problems on expander graphs. arXiv (Cornell University). 2235–2247. 4 indexed citations
9.
Joos, Felix, et al.. (2019). ON THE HARD SPHERE MODEL AND SPHERE PACKINGS IN HIGH DIMENSIONS. Forum of Mathematics Sigma. 7. 10 indexed citations
10.
Perarnau, Guillem & Will Perkins. (2018). . LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 4 indexed citations
11.
Coja‐Oghlan, Amin, Florent Krząkała, Will Perkins, & Lenka Zdeborová. (2018). Information-theoretic thresholds from the cavity method. Advances in Mathematics. 333. 694–795. 41 indexed citations
12.
Coja‐Oghlan, Amin, et al.. (2017). Limits of discrete distributions and Gibbs measures on random graphs. European Journal of Combinatorics. 66. 37–59. 5 indexed citations
13.
Coja‐Oghlan, Amin, Florent Krząkała, Will Perkins, & Lenka Zdeborová. (2017). Information-theoretic thresholds from the cavity method. 146–157. 16 indexed citations
14.
Perkins, Will, et al.. (2000). Archaeological, experimental and mathematical evidence supporting the use of the atlatl as a primary big game procurement weapon of prehistoric Americas. 20. 69–72. 3 indexed citations
15.
Perkins, Will, et al.. (1995). Effects of Stone Projectile Points as a Mass Within the Atlatl and Dart Mechanical System. 10(2). 18–19. 1 indexed citations
16.
Phillips, Sherman A. & Will Perkins. (1990). Improved in-field watering device for honey bees.. American bee journal. 130(9). 607–608. 1 indexed citations
17.
Medanić, J., et al.. (1987). Structural Decomposition Approach to Design of Robust Decentralized Controllers for Large Scale Systems. American Control Conference. 976–981. 3 indexed citations
18.
Perkins, Will, et al.. (1977). Chained aggregation of linear time-invariant systems. IEEE Transactions on Automatic Control. 14(14). 550–555. 6 indexed citations
19.
Perkins, Will, et al.. (1969). Design of model following systems using the companion transformation. IEEE Transactions on Automatic Control. 7(7). 594–595.
20.
Perkins, Will & J.B. Cruz. (1964). The parameter variation problem in state feedback control systems. IEEE Transactions on Automatic Control. 2(2). 170–174. 6 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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