David Nickerson
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- Scientific Computing and Data Management 19
- Biophysics top 2%
- Cell Image Analysis Techniques 11
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- Cardiac electrophysiology and arrhythmias 14
- Cardiomyopathy and Myosin Studies 7
- Molecular Biology top 10%
- Gene Regulatory Network Analysis 41
- Bioinformatics and Genomic Networks 22
- Microbial Metabolic Engineering and Bioproduction 16
- Modeling and Simulation top 10%
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- Simulation Techniques and Applications 7
- Co-authors
- Peter HunterNicolas P. SmithCatherine M. LloydPoul NielsenAndrew K. MillerAlan GarnyDavid BullivantAutumn Cuellar
- Journals
- Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (12 papers)Frontiers in Physiology (6 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (4 papers)
- Partner nations
- New ZealandUnited KingdomUnited States
In The Last Decade
David Nickerson
78 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 127
- Information Systems and Management 265
- Biophysics 161
- Cardiology and Cardiovascular Medicine 402
- Molecular Biology 1.0k
- Modeling and Simulation 35
Countries citing papers authored by David Nickerson
This map shows the geographic impact of David Nickerson'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 Nickerson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Nickerson more than expected).
Fields of papers citing papers by David Nickerson
This network shows the impact of papers produced by David Nickerson. 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 Nickerson. The network helps show where David Nickerson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Nickerson, 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 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 12 | |
| 12 | 2018 | 37 | |
| 13 | 2016 | 14 | |
| 14 | 2016 | 5 | |
| 15 | 2015 | 21 | |
| 16 | 2014 | 91 | |
| 17 | 2012 | 11 | |
| 18 | 2010 | 56 | |
| 19 | 2008 | 16 | |
| 20 | 2006 | 9 |
About David Nickerson
David Nickerson is a scholar working on Information Systems and Management, Biophysics and Molecular Biology, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (41 papers), Bioinformatics and Genomic Networks (22 papers), Scientific Computing and Data Management (19 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Cardiac electrophysiology and arrhythmias (14 papers), Cell Image Analysis Techniques (11 papers), Cardiomyopathy and Myosin Studies (7 papers) and Simulation Techniques and Applications (7 papers). The work is most often cited by research in Information Systems and Management (265 citations), Biophysics (161 citations) and Cardiology and Cardiovascular Medicine (402 citations). David Nickerson has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Peter Hunter, Nicolas P. Smith, Catherine M. Lloyd, Poul Nielsen, Andrew K. Miller, Alan Garny, David Bullivant, Autumn Cuellar, Dagmar Waltemath and Poul M. F. Nielsen. Their work appears in journals such as Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Frontiers in Physiology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Bioinformatics and BMC Bioinformatics.
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.