Edward Higson

664 total citations
11 papers, 295 citations indexed

About

Edward Higson is a scholar working on Artificial Intelligence, Statistics and Probability and Nuclear and High Energy Physics. According to data from OpenAlex, Edward Higson has authored 11 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 2 papers in Nuclear and High Energy Physics. Recurrent topics in Edward Higson's work include Statistical Methods and Bayesian Inference (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Statistical Methods and Inference (3 papers). Edward Higson is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Statistical Methods and Inference (3 papers). Edward Higson collaborates with scholars based in United Kingdom, Portugal and United States. Edward Higson's co-authors include A. Lasenby, Will Handley, M. P. Hobson, M. P. Hobson, Alvin J. K. Chua, S. Hee, C. J. Moore, M. P. Hobson, J. R. Gair and R. Bingham and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, New Journal of Physics and Statistics and Computing.

In The Last Decade

Edward Higson

11 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Edward Higson United Kingdom	8	203	65	53	44	32	11	295
N. Hara Switzerland	11	243 1.2×	6 0.1×	79 1.5×	19 0.4×	20 0.6×	19	307
Reimar Leike Germany	8	239 1.2×	61 0.9×	39 0.7×	26 0.6×	5 0.2×	13	301
Gudrun Wolfschmidt Germany	4	188 0.9×	52 0.8×	15 0.3×	10 0.2×	3 0.1×	16	293
A. Connors United States	9	563 2.8×	269 4.1×	13 0.2×	13 0.3×	20 0.6×	40	629
B. S. Frank South Africa	11	339 1.7×	125 1.9×	104 2.0×	5 0.1×	6 0.2×	24	376
Christina Magoulas Australia	9	529 2.6×	117 1.8×	198 3.7×	11 0.3×	7 0.2×	15	560
Jesús Torrado United Kingdom	13	423 2.1×	187 2.9×	23 0.4×	22 0.5×	3 0.1×	16	451
Dale A. Ostlie United States	6	285 1.4×	57 0.9×	56 1.1×	6 0.1×	3 0.1×	10	352
Joanna Dunkley United Kingdom	10	349 1.7×	169 2.6×	46 0.9×	18 0.4×	12 0.4×	14	392
M. Sobolewska United States	15	615 3.0×	273 4.2×	39 0.7×	6 0.1×	5 0.2×	32	651

Countries citing papers authored by Edward Higson

Since Specialization

Citations

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

Fields of papers citing papers by Edward Higson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Higson

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Higson. A scholar is included among the top collaborators of Edward Higson 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 Edward Higson. Edward Higson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Higson, Edward, Will Handley, M. P. Hobson, & A. Lasenby. (2018). Diagnostic Tests for Nested Sampling Calculations. arXiv (Cornell University). 3 indexed citations

Higson, Edward, Will Handley, M. P. Hobson, & A. Lasenby. (2018). Sampling Errors in Nested Sampling Parameter Estimation. Apollo (University of Cambridge). 13(3). 873–896. 7 indexed citations

Higson, Edward. (2018). dyPolyChord: dynamic nested sampling with PolyChord. The Journal of Open Source Software. 3(29). 965–965. 6 indexed citations

Higson, Edward, Will Handley, M. P. Hobson, & A. Lasenby. (2018). nestcheck: diagnostic tests for nested sampling calculations. Monthly Notices of the Royal Astronomical Society. 483(2). 2044–2056. 24 indexed citations

Higson, Edward. (2018). nestcheck: error analysis, diagnostic tests and plots for nested sampling calculations. The Journal of Open Source Software. 3(29). 916–916. 14 indexed citations

Higson, Edward, Will Handley, M. P. Hobson, & A. Lasenby. (2018). Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation. Statistics and Computing. 29(5). 891–913. 174 indexed citations

Higson, Edward, Will Handley, M. P. Hobson, & A. Lasenby. (2018). Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learning. Monthly Notices of the Royal Astronomical Society. 9 indexed citations

Chua, Alvin J. K., S. Hee, Will Handley, et al.. (2018). Towards a framework for testing general relativity with extreme-mass-ratio-inspiral observations. Monthly Notices of the Royal Astronomical Society. 478(1). 28–40. 21 indexed citations

Higson, Edward. (2018). perfectns: perfect dynamic and standard nested sampling for spherically symmetric likelihoods and priors. The Journal of Open Source Software. 3(30). 985–985. 3 indexed citations

10.

Higson, Edward, Will Handley, M. P. Hobson, & A. Lasenby. (2017). Sampling Errors in Nested Sampling Parameter Estimation. Bayesian Analysis. 13(3). 27 indexed citations

11.

Higson, Edward, Jason Zheng Jiang, R. Bingham, et al.. (2013). The effect of phase front deformation on the growth of the filamentation instability in laser–plasma interactions. New Journal of Physics. 15(1). 15027–15027. 7 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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