Peter Nightingale

1.2k total citations
41 papers, 543 citations indexed

About

Peter Nightingale is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Peter Nightingale has authored 41 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 22 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Peter Nightingale's work include Constraint Satisfaction and Optimization (27 papers), Data Management and Algorithms (10 papers) and Model-Driven Software Engineering Techniques (6 papers). Peter Nightingale is often cited by papers focused on Constraint Satisfaction and Optimization (27 papers), Data Management and Algorithms (10 papers) and Model-Driven Software Engineering Techniques (6 papers). Peter Nightingale collaborates with scholars based in United Kingdom, United States and Greece. Peter Nightingale's co-authors include Ian P. Gent, Christopher Jefferson, Ian Miguel, John Cardy, Kostas Stergiou, Iain Bate, Andrew Rowley, Alan M. Frisch, Anton Cervin and Karen E. Petrie and has published in prestigious journals such as Physical review. B, Condensed matter, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Peter Nightingale

37 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Nightingale United Kingdom 13 247 187 126 119 75 41 543
Neil J. Günther United States 10 78 0.3× 154 0.8× 62 0.5× 96 0.8× 84 1.1× 36 404
Dorit Ron Israel 11 115 0.5× 73 0.4× 167 1.3× 57 0.5× 95 1.3× 17 434
Michele Leone Italy 13 187 0.8× 185 1.0× 162 1.3× 19 0.2× 285 3.8× 21 709
John C. Wierman United States 17 439 1.8× 111 0.6× 86 0.7× 30 0.3× 245 3.3× 80 1.1k
Yu. M. Suhov Russia 12 96 0.4× 90 0.5× 70 0.6× 34 0.3× 119 1.6× 36 531
Dana Randall United States 14 120 0.5× 120 0.6× 143 1.1× 11 0.1× 35 0.5× 57 706
Eyal Lubetzky United States 17 161 0.7× 276 1.5× 102 0.8× 21 0.2× 77 1.0× 68 940
Yuri Suhov United Kingdom 15 131 0.5× 27 0.1× 52 0.4× 76 0.6× 112 1.5× 49 556
David Henty United Kingdom 16 40 0.2× 176 0.9× 86 0.7× 29 0.2× 10 0.1× 32 863
Mirko Degli Esposti Italy 13 64 0.3× 30 0.2× 120 1.0× 75 0.6× 269 3.6× 44 538

Countries citing papers authored by Peter Nightingale

Since Specialization
Citations

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

Fields of papers citing papers by Peter Nightingale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Nightingale

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Nightingale. A scholar is included among the top collaborators of Peter Nightingale 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 Peter Nightingale. Peter Nightingale 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.
Yuan, Tangming, et al.. (2024). Approximating problems in abstract argumentation with graph convolutional networks. Artificial Intelligence. 336. 104209–104209.
2.
Miguel, Ian, et al.. (2024). Plotting: a case study in lifted planning with constraints. Constraints. 29(1-2). 40–79.
3.
Nightingale, Peter, et al.. (2023). Learning to select SAT encodings for pseudo-Boolean and linear integer constraints. Constraints. 28(3). 397–426.
4.
Frisch, Alan M., et al.. (2022). Conjure: Automatic Generation of Constraint Models from Problem Specifications. Artificial Intelligence. 310. 103751–103751. 3 indexed citations
5.
Bofill, Miquel, et al.. (2021). SAT encodings for Pseudo-Boolean constraints together with at-most-one constraints. Artificial Intelligence. 302. 103604–103604. 5 indexed citations
6.
Borchers, David L., Peter Nightingale, Ben C. Stevenson, & Rachel M. Fewster. (2020). A latent capture history model for digital aerial surveys. Biometrics. 78(1). 274–285. 5 indexed citations
7.
Nacenta, Miguel A., et al.. (2019). How People Visually Represent Discrete Constraint Problems. IEEE Transactions on Visualization and Computer Graphics. 26(8). 2603–2619. 4 indexed citations
8.
Laland, Kevin N., et al.. (2015). Bayesian Spatial NBDA for Diffusion Data with Home-Base Coordinates. PLoS ONE. 10(7). e0130326–e0130326. 1 indexed citations
9.
Gent, Ian P., Christopher Jefferson, Steve Linton, Ian Miguel, & Peter Nightingale. (2014). Generating custom propagators for arbitrary constraints. Artificial Intelligence. 211. 1–33. 3 indexed citations
10.
Jefferson, Christopher & Peter Nightingale. (2013). Extending simple tabular reduction with short supports. International Joint Conference on Artificial Intelligence. 573–579. 14 indexed citations
11.
Nightingale, Peter, Ian P. Gent, Christopher Jefferson, & Ian Miguel. (2011). Exploiting short supports for generalised arc consistency for arbitrary constraints. International Joint Conference on Artificial Intelligence. 623–628. 2 indexed citations
12.
Jefferson, Christopher, et al.. (2010). Implementing logical connectives in constraint programming. Artificial Intelligence. 174(16-17). 1407–1429. 14 indexed citations
13.
Gent, Ian P., et al.. (2009). Modelling Equidistant Frequency Permutation Arrays in Constraints. 1 indexed citations
14.
Gent, Ian P., Ian Miguel, & Peter Nightingale. (2008). Generalised arc consistency for the AllDifferent constraint: An empirical survey. Artificial Intelligence. 172(18). 1973–2000. 17 indexed citations
15.
Gent, Ian P., Christopher Jefferson, Ian Miguel, & Peter Nightingale. (2007). Data structures for generalised arc consistency for extensional constraints. National Conference on Artificial Intelligence. 191–197. 23 indexed citations
16.
Gent, Ian P., Christopher Jefferson, Tom Kelsey, et al.. (2007). Search in the patience game ‘Black Hole’. AI Communications. 20(3). 211–226. 8 indexed citations
17.
Gent, Ian P., Peter Nightingale, Andrew Rowley, & Kostas Stergiou. (2007). Solving quantified constraint satisfaction problems. Artificial Intelligence. 172(6-7). 738–771. 16 indexed citations
18.
Gent, Ian P., Peter Nightingale, & Kostas Stergiou. (2005). QCSP-solve: a solver for quantified constraint satisfaction problems. International Joint Conference on Artificial Intelligence. 138–143. 23 indexed citations
19.
Gent, Ian P., Peter Nightingale, & Andrew Rowley. (2004). Encoding quantified CSPs as Quantified Boolean Formulae. European Conference on Artificial Intelligence. 176–180. 10 indexed citations
20.
Nightingale, Peter. (1982). Finite-size scaling and phenomenological renormalization (invited). Journal of Applied Physics. 53(11). 7927–7932. 216 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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