Eric F. Lock
- Computational Mathematics top 1%
- Tensor decomposition and applications 5
- Statistics and Probability top 5%
- Statistical Methods and Inference 6
- Cancer Research top 10%
- Genetics top 10%
- Hemoglobinopathies and Related Disorders 6
- Molecular Biology top 10%
- Gene expression and cancer classification 17
- Bioinformatics and Genomic Networks 7
- Metabolomics and Mass Spectrometry Studies 6
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- Iron Metabolism and Disorders 9
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- Bayesian Methods and Mixture Models 5
- Co-authors
- David B. DunsonKatherine A. HoadleyJ. S. MarronAndrew B. NobelMichael J. O’ConnellRaghavendra RaoIvan RusynMichael Georgieff
- Journals
- Bioinformatics (4 papers)Computational Statistics & Data Analysis (3 papers)Journal of Nutrition (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Eric F. Lock
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 136
- Computational Mathematics 83
- Statistics and Probability 108
- Cancer Research 164
- Genetics 113
- Molecular Biology 710
Countries citing papers authored by Eric F. Lock
This map shows the geographic impact of Eric F. Lock'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 Eric F. Lock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric F. Lock more than expected).
Fields of papers citing papers by Eric F. Lock
This network shows the impact of papers produced by Eric F. Lock. 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 Eric F. Lock. The network helps show where Eric F. Lock may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric F. Lock, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 94 | |
| 15 | 2022 | 6 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 6 | |
| 18 | 2015 | 10 | |
| 19 | 2014 | 23 | |
| 20 | 2010 | 48 |
About Eric F. Lock
Eric F. Lock is a scholar working on Computational Mathematics, Statistics and Probability and Hematology, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (17 papers), Iron Metabolism and Disorders (9 papers), Bioinformatics and Genomic Networks (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Statistical Methods and Inference (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Bayesian Methods and Mixture Models (5 papers) and Tensor decomposition and applications (5 papers). The work is most often cited by research in Computational Mathematics (83 citations), Statistics and Probability (108 citations) and Cancer Research (164 citations). Eric F. Lock has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David B. Dunson, Katherine A. Hoadley, J. S. Marron, Andrew B. Nobel, Michael J. O’Connell, Raghavendra Rao, Ivan Rusyn, Michael Georgieff, Christopher L. Coe and Fred A. Wright. Their work appears in journals such as Bioinformatics, Computational Statistics & Data Analysis, Journal of Nutrition, Journal of Computational and Graphical Statistics and Biostatistics.
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.