Conrad J. Burden

2.1k total citations
75 papers, 1.6k citations indexed

About

Conrad J. Burden is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, Conrad J. Burden has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 31 papers in Nuclear and High Energy Physics and 11 papers in Artificial Intelligence. Recurrent topics in Conrad J. Burden's work include Quantum Chromodynamics and Particle Interactions (28 papers), Particle physics theoretical and experimental studies (21 papers) and Gene expression and cancer classification (14 papers). Conrad J. Burden is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (28 papers), Particle physics theoretical and experimental studies (21 papers) and Gene expression and cancer classification (14 papers). Conrad J. Burden collaborates with scholars based in Australia, United States and United Kingdom. Conrad J. Burden's co-authors include Craig D. Roberts, Susan R. Wilson, M. J. Thomson, J. Praschifka, Anthony N. Burkitt, Sumaira Qureshi, P. C. Tandy, Qian Lu, RT Cahill and Anthony G. Williams and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Physical Chemistry B.

In The Last Decade

Conrad J. Burden

75 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Conrad J. Burden Australia 20 794 488 174 167 104 75 1.6k
Walter Dittrich Germany 22 653 0.8× 224 0.5× 531 3.1× 324 1.9× 58 0.6× 81 1.5k
L. P. Kok Netherlands 23 592 0.7× 321 0.7× 546 3.1× 52 0.3× 52 0.5× 94 1.6k
Michele Caselle Italy 29 730 0.9× 1.0k 2.1× 344 2.0× 130 0.8× 539 5.2× 160 2.5k
Jing‐ye Zhang United States 23 1.3k 1.6× 242 0.5× 682 3.9× 61 0.4× 144 1.4× 99 1.8k
Pietro Faccioli Italy 21 361 0.5× 735 1.5× 350 2.0× 15 0.1× 75 0.7× 82 1.4k
Olivier Espinosa Chile 12 609 0.8× 79 0.2× 140 0.8× 370 2.2× 58 0.6× 26 1000
A. Voinov United States 25 1.4k 1.7× 347 0.7× 475 2.7× 25 0.1× 108 1.0× 74 1.9k
David Gordon United States 19 696 0.9× 116 0.2× 246 1.4× 41 0.2× 50 0.5× 50 1.1k
Miguel A. Rodrı́guez Spain 22 101 0.1× 706 1.4× 431 2.5× 93 0.6× 52 0.5× 91 1.7k
Giancarlo Rossi Italy 39 4.4k 5.6× 346 0.7× 380 2.2× 354 2.1× 333 3.2× 177 5.2k

Countries citing papers authored by Conrad J. Burden

Since Specialization
Citations

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

Fields of papers citing papers by Conrad J. Burden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conrad J. Burden. 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 Conrad J. Burden. The network helps show where Conrad J. Burden may publish in the future.

Co-authorship network of co-authors of Conrad J. Burden

This figure shows the co-authorship network connecting the top 25 collaborators of Conrad J. Burden. A scholar is included among the top collaborators of Conrad J. Burden 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 Conrad J. Burden. Conrad J. Burden 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.
Burden, Conrad J. & Robert Griffiths. (2023). Coalescence and sampling distributions for Feller diffusions. Theoretical Population Biology. 155. 67–76. 1 indexed citations
2.
Burden, Conrad J. & Robert Griffiths. (2022). The stationary and quasi-stationary properties of neutral multi-type branching process diffusions. Stochastic Models. 39(1). 185–218. 1 indexed citations
3.
Hua, Xia, et al.. (2022). Protracted Speciation under the State-Dependent Speciation and Extinction Approach. Systematic Biology. 71(6). 1362–1377. 9 indexed citations
4.
Burden, Conrad J. & Robert Griffiths. (2018). The stationary distribution of a sample from the Wright–Fisher diffusion model with general small mutation rates. Journal of Mathematical Biology. 78(4). 1211–1224. 5 indexed citations
5.
Burden, Conrad J., et al.. (2017). Mutation in populations governed by a Galton–Watson branching process. Theoretical Population Biology. 120. 52–61. 1 indexed citations
6.
Burden, Conrad J. & Yurong Tang. (2016). An approximate stationary solution for multi-allele neutral diffusion with low mutation rates. Theoretical Population Biology. 112. 22–32. 9 indexed citations
7.
Burden, Conrad J. & Yurong Tang. (2016). Rate matrix estimation from site frequency data. Theoretical Population Biology. 113. 23–33. 5 indexed citations
8.
Lin, Peijie, Sylvain Forêt, Susan R. Wilson, & Conrad J. Burden. (2015). Estimation of the methylation pattern distribution from deep sequencing data. BMC Bioinformatics. 16(1). 145–145. 6 indexed citations
9.
Burden, Conrad J., et al.. (2013). The Distribution of Word Matches Between Markovian Sequences with Periodic Boundary Conditions. Journal of Computational Biology. 21(1). 41–63. 3 indexed citations
10.
Qureshi, Sumaira, et al.. (2012). Efficient experimental design and analysis strategies for the detection of differential expression using RNA-Sequencing. BMC Genomics. 13(1). 484–484. 143 indexed citations
11.
Burden, Conrad J., et al.. (2011). Alignment-free Sequence Comparison for Biologically Realistic Sequences of Moderate Length. Statistical Applications in Genetics and Molecular Biology. 11(1). Article 3–Article 3. 6 indexed citations
12.
Binder, Hans, Knut Krohn, & Conrad J. Burden. (2010). Washing scaling of GeneChip microarray expression. BMC Bioinformatics. 11(1). 291–291. 10 indexed citations
13.
Burden, Conrad J. & Hans Binder. (2009). Physico-chemical modelling of target depletion during hybridization on oligonulceotide microarrays. Physical Biology. 7(1). 16004–16004. 14 indexed citations
14.
Forêt, Sylvain, Susan R. Wilson, & Conrad J. Burden. (2009). Characterizing the D2 Statistic: Word Matches in Biological Sequences. Statistical Applications in Genetics and Molecular Biology. 8(1). Article 43–Article 43. 19 indexed citations
15.
Burden, Conrad J. & Aaron J. Oakley. (2007). Anisotropic atomic motions in high-resolution protein crystallography molecular dynamics simulations. Physical Biology. 4(2). 79–90. 12 indexed citations
16.
Hegland, Markus, et al.. (2006). A solver for the stochastic master equation applied to gene regulatory networks. Journal of Computational and Applied Mathematics. 205(2). 708–724. 80 indexed citations
17.
Burden, Conrad J., Yvonne Pittelkow, & Susan R. Wilson. (2004). An adsorption model of hybridization behaviour on oligonucleotide microarrays. arXiv (Cornell University). 2 indexed citations
18.
Burden, Conrad J., Yvonne Pittelkow, & Susan R. Wilson. (2004). Statistical Analysis of Adsorption Models for Oligonucleotide Microarrays. Statistical Applications in Genetics and Molecular Biology. 3(1). 1–27. 31 indexed citations
19.
Burden, Conrad J., Qian Lu, Craig D. Roberts, P. C. Tandy, & M. J. Thomson. (1997). Meson Spectrum from the Bethe-Salpeter Equation. Australian Journal of Physics. 50(1). 95–102. 33 indexed citations
20.
Burden, Conrad J., et al.. (1984). Additional Rigidly Rotating Solutions in the String Model of Hadrons. Australian Journal of Physics. 37(1). 1–8. 15 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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