David Budden

6.4k total citations
28 papers, 491 citations indexed

About

David Budden is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Budden has authored 28 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Budden's work include Genomics and Chromatin Dynamics (5 papers), Reinforcement Learning in Robotics (4 papers) and Scientific Computing and Data Management (3 papers). David Budden is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Reinforcement Learning in Robotics (4 papers) and Scientific Computing and Data Management (3 papers). David Budden collaborates with scholars based in Australia, United States and United Kingdom. David Budden's co-authors include Nir Shavit, Shibani Santurkar, Edmund J. Crampin, Daniel Hurley, Dan Horgan, Gabriel Barth-Maron, Hado van Hasselt, David Silver, Matteo Hessel and John Quan and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cell stem cell.

In The Last Decade

David Budden

26 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Budden Australia	12	165	140	132	39	37	28	491
Pedro Ribeiro Portugal	14	185 1.1×	157 1.1×	95 0.7×	39 1.0×	21 0.6×	44	573
Ivano Lauriola Italy	6	31 0.2×	266 1.9×	80 0.6×	28 0.7×	42 1.1×	17	500
António J. R. Neves Portugal	13	118 0.7×	178 1.3×	295 2.2×	34 0.9×	33 0.9×	73	559
Yunsheng Shi China	5	110 0.7×	167 1.2×	64 0.5×	28 0.7×	44 1.2×	5	546
Johannes Fischer Germany	11	237 1.4×	287 2.0×	79 0.6×	74 1.9×	22 0.6×	55	549
Baljeet Kaur India	11	42 0.3×	204 1.5×	43 0.3×	49 1.3×	104 2.8×	53	490
Murtadha Ahmed China	6	69 0.4×	343 2.5×	115 0.9×	52 1.3×	32 0.9×	17	643
Umberto Ferraro Petrillo Italy	13	71 0.4×	138 1.0×	104 0.8×	48 1.2×	32 0.9×	47	365
Lei Zheng China	13	34 0.2×	211 1.5×	90 0.7×	29 0.7×	39 1.1×	34	441
An Wang China	11	167 1.0×	108 0.8×	73 0.6×	25 0.6×	47 1.3×	53	401

Countries citing papers authored by David Budden

Since Specialization

Citations

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

Fields of papers citing papers by David Budden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Budden

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

All Works

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20 of 20 papers shown

Cabi, Serkan, Sergio Gómez Colmenarejo, Alexander Novikov, et al.. (2019). A Framework for Data-Driven Robotics. arXiv (Cornell University). 4 indexed citations

Horgan, Dan, John Quan, David Budden, et al.. (2018). Distributed Prioritized Experience Replay. International Conference on Learning Representations. 56 indexed citations

Barth-Maron, Gabriel, Matthew W. Hoffman, David Budden, et al.. (2018). Distributed Distributional Deterministic Policy Gradients. arXiv (Cornell University). 34 indexed citations

Chen, Yutian, Yannis Assael, Brendan Shillingford, et al.. (2018). Sample-efficient adaptive text-to-speech. arXiv (Cornell University). 16 indexed citations

McCaughey, Tristan, David Budden, Paul G. Sanfilippo, et al.. (2018). A Need for Better Understanding Is the Major Determinant for Public Perceptions of Human Gene Editing. Human Gene Therapy. 30(1). 36–43. 30 indexed citations

Reed, Scott, Yusuf Aytar, Ziyu Wang, et al.. (2018). Visual Imitation with a Minimal Adversary. 1 indexed citations

Matveev, Alexander, Yaron Meirovitch, Tim Kaler, et al.. (2017). A Multicore Path to Connectomics-on-Demand. ACM SIGPLAN Notices. 52(8). 267–281. 1 indexed citations

Matveev, Alexander, Yaron Meirovitch, Tim Kaler, et al.. (2017). A Multicore Path to Connectomics-on-Demand. 267–281. 3 indexed citations

McCaughey, Tristan, Paul G. Sanfilippo, David Budden, et al.. (2016). A Global Social Media Survey of Attitudes to Human Genome Editing. Cell stem cell. 18(5). 569–572. 69 indexed citations

10.

Budden, David & Edmund J. Crampin. (2016). Information theoretic approaches for inference of biological networks from continuous-valued data. BMC Systems Biology. 10(1). 89–89. 12 indexed citations

11.

Budden, David & Edmund J. Crampin. (2016). Distributed gene expression modelling for exploring variability in epigenetic function. BMC Bioinformatics. 17(1). 446–446.

12.

Budden, David, et al.. (2016). Deep Tensor Convolution on Multicores. arXiv (Cornell University). 615–624. 5 indexed citations

13.

Budden, David, et al.. (2016). Cautionary Tales of Inapproximability. 1 indexed citations

14.

Budden, David, et al.. (2016). Cautionary Tales of Inapproximability. Journal of Computational Biology. 24(3). 213–216. 1 indexed citations

15.

Budden, David, Daniel Hurley, & Edmund J. Crampin. (2015). Modelling the conditional regulatory activity of methylated and bivalent promoters. Epigenetics & Chromatin. 8(1). 21–21. 6 indexed citations

16.

Budden, David, et al.. (2015). FlexDM: Simple, parallel and fault-tolerant data mining using WEKA. PubMed. 10(1). 13–13. 6 indexed citations

17.

Mendes, Alexandre, et al.. (2015). Addressing the non-functional requirements of computer vision systems: a case study. Machine Vision and Applications. 27(1). 77–86. 6 indexed citations

18.

Budden, David, Daniel Hurley, Joseph Cursons, et al.. (2014). Predicting expression: the complementary power of histone modification and transcription factor binding data. Epigenetics & Chromatin. 7(1). 36–36. 25 indexed citations

19.

Budden, David, Daniel Hurley, & Edmund J. Crampin. (2014). Predictive modelling of gene expression from transcriptional regulatory elements. Briefings in Bioinformatics. 16(4). 616–628. 25 indexed citations

20.

Marsden, J., David Budden, Hugh Craig, & Pablo Moscato. (2013). Language Individuation and Marker Words: Shakespeare and His Maxwell's Demon. PLoS ONE. 8(6). e66813–e66813. 13 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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