David Gilbert
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 35
- Bioinformatics and Genomic Networks 27
- Microbial Metabolic Engineering and Bioproduction 18
- Machine Learning in Bioinformatics 13
- Protein Structure and Dynamics 12
- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 5
- Modeling and Simulation top 5%
- Biophysics top 5%
- Artificial Intelligence top 5%
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- Enzyme Structure and Function 7
David Gilbert
97 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 176
- Molecular Biology 2.0k
- Computational Theory and Mathematics 369
- Modeling and Simulation 70
- Biophysics 86
- Artificial Intelligence 445
Countries citing papers authored by David Gilbert
This map shows the geographic impact of David Gilbert'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 Gilbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gilbert more than expected).
Fields of papers citing papers by David Gilbert
This network shows the impact of papers produced by David Gilbert. 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 Gilbert. The network helps show where David Gilbert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Gilbert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 16 | |
| 2 | 2016 | 8 | |
| 3 | 2013 | 38 | |
| 4 | 2012 | 3 | |
| 5 | 2012 | 28 | |
| 6 | Hoover Dam 75th Anniversary History Symposium : proceedings of the Hoover Dam 75th Anniversary History Symposium, October 21-22, 2010, Las Vegas, Nevada | 2010 | 1 |
| 7 | 2010 | 2 | |
| 8 | 2010 | 2 | |
| 9 | Formal models of virtual enterprise architecture: Motivations and approaches | 2010 | 9 |
| 10 | 2009 | 45 | |
| 11 | BioNessie(G) - a Grid enabled biochemical networks simulation environment. | 2008 | 5 |
| 12 | Analysis of signalling pathways using the prism model checker | 2005 | 36 |
| 13 | 2005 | 12 | |
| 14 | Protein structure comparison based o n profiles of topological motifs: a feasible way to deal with information from negative examples. | 2003 | 2 |
| 15 | An empirical comparison of supervised machine learning techniques in bioinformatics | 2003 | 46 |
| 16 | Integrative machine learning approach for multi-class SCOP protein fold classification | 2003 | 1 |
| 17 | 2002 | 38 | |
| 18 | 2000 | 71 | |
| 19 | Pattern discovery methods for protein topology diagrams. | 1999 | 1 |
| 20 | 1998 | 183 |
About David Gilbert
David Gilbert is a scholar working on Molecular Biology, Modeling and Simulation, Software, Computational Theory and Mathematics and Information Systems and Management, having authored 98 papers that have together received 2.9k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (35 papers), Bioinformatics and Genomic Networks (27 papers), Microbial Metabolic Engineering and Bioproduction (18 papers), Machine Learning in Bioinformatics (13 papers), Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (7 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Computational Theory and Mathematics (369 citations), Modeling and Simulation (70 citations), Biophysics (86 citations) and Artificial Intelligence (445 citations). David Gilbert has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Aik Choon Tan, Rainer Breitling, Walter Kölch, Richard Orton, Muffy Calder, Monika Heiner, Vladislav Vyshemirsky, Oliver Sturm, Desmond J. Higham and Julie Morrison. Their work appears in journals such as Briefings in Bioinformatics, BMC Bioinformatics, Bioinformatics, International Journal of Neural Systems and Constraints.
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.