Chris Holmes
About
In The Last Decade
Chris Holmes
143 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Artificial Intelligence 1.8k
- Molecular Biology 1.6k
- Statistics and Probability 1.2k
- Genetics 972
- Cancer Research 424
Countries citing papers authored by Chris Holmes
This map shows the geographic impact of Chris Holmes'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 Chris Holmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Holmes more than expected).
Fields of papers citing papers by Chris Holmes
This network shows the impact of papers produced by Chris Holmes. 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 Chris Holmes. The network helps show where Chris Holmes may publish in the future.
Co-authorship network of co-authors of Chris Holmes
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Holmes. A scholar is included among the top collaborators of Chris Holmes 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 Chris Holmes. Chris Holmes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 33 | |
| 5 | 13 | |
| 6 | 20 | |
| 7 | The epidemiological impact of the NHS COVID-19 app breakdown → | 163 |
| 8 | 23 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | Probabilistic boolean tensor decomposition | 6 |
| 12 | Principled Bayesian Minimum Divergence Inference | 2 |
| 13 | Nonparametric learning from Bayesian models with randomized objective functions | 7 |
| 14 | On Markov chain Monte Carlo Methods for Tall Data | 6 |
| 15 | 6 | |
| 16 | A General Framework for Updating Belief Distributions | 89 |
| 17 | 32 | |
| 18 | On the utility of graphics cards to perform massively parallel\nsimulation with advanced Monte Carlo methods. | 151 |
| 19 | 9 | |
| 20 | Minimum-entropy data clustering using reversible jump Markov chain Monte Carlo | 2 |
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.