David S. Broomhead

5.7k total citations · 1 hit paper
31 papers, 3.6k citations indexed

About

David S. Broomhead is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, David S. Broomhead has authored 31 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Statistical and Nonlinear Physics and 6 papers in Artificial Intelligence. Recurrent topics in David S. Broomhead's work include Neural Networks and Applications (5 papers), NF-κB Signaling Pathways (5 papers) and Gene Regulatory Network Analysis (4 papers). David S. Broomhead is often cited by papers focused on Neural Networks and Applications (5 papers), NF-κB Signaling Pathways (5 papers) and Gene Regulatory Network Analysis (4 papers). David S. Broomhead collaborates with scholars based in United Kingdom, United States and Ireland. David S. Broomhead's co-authors include David Lowe, Douglas B. Kell, Michael White, Pawel Paszek, Caroline A. Horton, Martin Brown, Joshua Knowles, John Unitt, David E. Nelson and Louise Ashall and has published in prestigious journals such as Science, Experimental Brain Research and Vision Research.

In The Last Decade

David S. Broomhead

30 papers receiving 3.4k citations

Hit Papers

align trajectories

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.

Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks

1988 2.5k citations David S. Broomhead, David Lowe Complex Systems profile →

Peers

David S. Broomhead

AI

MB

CSE

CVPR

EEE

Michael Mitzenmacher United States

Harald Stögbauer Germany

René Doursat France

Takuya Akiba Japan

Nikos Vlassis Netherlands

Tadeusz Wilusz Poland

Concha Bielza Spain

P. A. Estévez Chile

S.R. Gunn United Kingdom

Jie Sun China

Michael Mitzenmacher United States

David S. Broomhead

1.0k ×0.8

AI

761 ×1.4

MB

241 ×0.5

CSE

461 ×1.2

CVPR

535 ×1.9

EEE

Citations per year, relative to David S. Broomhead David S. Broomhead (= 1×) peers Michael Mitzenmacher

Countries citing papers authored by David S. Broomhead

Since Specialization

Citations

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

Fields of papers citing papers by David S. Broomhead

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Broomhead. 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 David S. Broomhead. The network helps show where David S. Broomhead may publish in the future.

Co-authorship network of co-authors of David S. Broomhead

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Broomhead, David S., et al.. (2014). A Max-Plus Model of Asynchronous Cellular Automata. Complex Systems. 23(4). 313–342.

2.

Broomhead, David S., et al.. (2013). Algebraic approach to time borrowing. IET Computers & Digital Techniques. 7(1). 1–10. 1 indexed citations

3.

Akman, Ozgur E., David S. Broomhead, Richard V. Abadi, & Richard A. Clement. (2012). Components of the neural signal underlying congenital nystagmus. Experimental Brain Research. 220(3-4). 213–221. 5 indexed citations

4.

Brackley, Chris A., David S. Broomhead, M. Carmen Romano, & Marco Thiel. (2012). A max-plus model of ribosome dynamics during mRNA translation. Journal of Theoretical Biology. 303. 128–140. 21 indexed citations

5.

Wang, Yunjiao, Pawel Paszek, Caroline A. Horton, et al.. (2011). Interactions among oscillatory pathways in NF-kappa B signaling. BMC Systems Biology. 5(1). 23–23. 28 indexed citations

6.

Wang, Yunjiao, Pawel Paszek, Caroline A. Horton, et al.. (2011). A systematic survey of the response of a model NF-κB signalling pathway to TNFα stimulation. Journal of Theoretical Biology. 297. 137–147. 23 indexed citations

7.

Roy, Shovonlal, David S. Broomhead, Trevor Platt, Shubha Sathyendranath, & Stefano Ciavatta. (2011). Sequential variations of phytoplankton growth and mortality in an NPZ model: A remote-sensing-based assessment. Journal of Marine Systems. 92(1). 16–29. 16 indexed citations

8.

Clement, Richard A., David S. Broomhead, & Ozgur E. Akman. (2008). Dynamics of saccadic oscillations. Progress in brain research. 171. 131–136. 1 indexed citations

9.

Smallbone, Kieran, Evangelos Simeonidis, David S. Broomhead, & Douglas B. Kell. (2007). Something from nothing − bridging the gap between constraint‐based and kinetic modelling. FEBS Journal. 274(21). 5576–5585. 77 indexed citations

10.

Ihekwaba, Adaoha, Stephen J. Wilkinson, Dominic Waithe, et al.. (2007). Bridging the gap between in silico and cell‐based analysis of the nuclear factor‐κB signaling pathway by in vitro studies of IKK2. FEBS Journal. 274(7). 1678–1690. 16 indexed citations

11.

Panzeri, Stefano, Martin Brown, David S. Broomhead, et al.. (2007). Information-theoretic sensitivity analysis: a general method for credit assignment in complex networks. Journal of The Royal Society Interface. 5(19). 223–235. 94 indexed citations

12.

Yue, Hong, Martin Brown, Joshua Knowles, et al.. (2006). Insights into the behaviour of systems biology models from dynamic sensitivity and identifiability analysis: a case study of an NF-κB signalling pathway. Molecular BioSystems. 2(12). 640–649. 117 indexed citations

13.

Clement, Richard A., et al.. (2002). Characterisation of congenital nystagmus waveforms in terms of periodic orbits. Vision Research. 42(17). 2123–2130. 18 indexed citations

14.

Clement, Richard A., et al.. (2002). A new framework for investigating both normal and abnormal eye movements. Progress in brain research. 140. 499–505. 5 indexed citations

15.

Broomhead, David S., et al.. (2000). Modelling of congenital nystagmus waveforms produced by saccadic system abnormalities. Biological Cybernetics. 82(5). 391–399. 34 indexed citations

16.

Broomhead, David S., et al.. (1999). Random and deterministic perturbation of a class of skew-product systems. Dynamics and Stability of Systems. 14(2). 115–128. 5 indexed citations

17.

Muldoon, Mark, David S. Broomhead, J. P. Huke, & Rainer Hegger. (1998). Delay embedding in the presence of dynamical noise. Dynamics and Stability of Systems. 13(2). 175–186. 32 indexed citations

18.

Broomhead, David S., et al.. (1992). Shallow Soil Mixing—A Case History. 564–576. 2 indexed citations

19.

Broomhead, David S.. (1991). <title>Signal processing for nonlinear systems (Keynote Address)</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1565. 228–243. 6 indexed citations

20.

Broomhead, David S. & David Lowe. (1988). Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks. Complex Systems. 2. 321–355. 2548 indexed citations breakdown →

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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