Malcolm Farrow
Impact in
- Software top 10%
- Software Reliability and Analysis Research
- Statistics and Probability top 10%
Papers in
-
- Statistical Methods and Bayesian Inference 4
-
- Bayesian Modeling and Causal Inference 4
- Bayesian Methods and Mixture Models 3
- Co-authors
- Wallace Arthur (4 shared papers)Michael Oakes (1 shared paper)Warren Gilchrist (1 shared paper)Michael Goldstein (5 shared papers)Brian K. Saxby (1 shared paper)Kevin J. Wilson (3 shared papers)Margaret Bell (1 shared paper)Allan Carmichael (1 shared paper)
- Journals
- Software Quality Journal (4 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (2 papers)International Journal of Approximate Reasoning (2 papers)Information and Software Technology (1 paper)The Medical Journal of Australia (1 paper)
- Partner nations
- United KingdomGermanyIraq
In The Last Decade
Malcolm Farrow
42 papers receiving 495 citations
Peers
Comparison fields: 5 of 144
- Software 34
- Statistics and Probability 43
- Dermatology 40
- Statistics, Probability and Uncertainty 26
- Paleontology 24
Countries citing papers authored by Malcolm Farrow
This map shows the geographic impact of Malcolm Farrow'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 Malcolm Farrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Farrow more than expected).
Fields of papers citing papers by Malcolm Farrow
This network shows the impact of papers produced by Malcolm Farrow. 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 Malcolm Farrow. The network helps show where Malcolm Farrow may publish in the future.
Co-authors
The 25 scholars most cited alongside Malcolm Farrow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 48 | |
| 2 | 2001 | 47 | |
| 3 | 2006 | 43 | |
| 4 | 2018 | 35 | |
| 5 | 1988 | 34 | |
| 6 | 1985 | 32 | |
| 7 | 2009 | 27 | |
| 8 | 2006 | 25 | |
| 9 | 2012 | 23 | |
| 10 | 2006 | 22 | |
| 11 | 1988 | 18 | |
| 12 | 2020 | 15 | |
| 13 | 2003 | 13 | |
| 14 | 2002 | 12 | |
| 15 | 1993 | 12 | |
| 16 | 2006 | 11 | |
| 17 | 1993 | 10 | |
| 18 | 2005 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2004 | 9 |
About Malcolm Farrow
Malcolm Farrow is a scholar working on Statistics and Probability, Artificial Intelligence, Information Systems, Software and Management Science and Operations Research, having authored 43 papers that have together received 529 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Software Reliability and Analysis Research (6 papers), Statistical Methods and Bayesian Inference (4 papers), Bayesian Modeling and Causal Inference (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Plant and animal studies (3 papers), Bayesian Methods and Mixture Models (3 papers) and Risk and Safety Analysis (2 papers). The work is most often cited by research in Software (34 citations), Statistics and Probability (43 citations), Dermatology (40 citations), Statistics, Probability and Uncertainty (26 citations) and Paleontology (24 citations). Malcolm Farrow has collaborated with scholars based in United Kingdom, Germany and Iraq. Frequent co-authors include Wallace Arthur, Michael Oakes, Warren Gilchrist, Michael Goldstein, Brian K. Saxby, Kevin J. Wilson, Margaret Bell, Allan Carmichael, Dilum Dissanayake and Graham Burns. Their work appears in journals such as Software Quality Journal, Journal of the Royal Statistical Society Series C (Applied Statistics), International Journal of Approximate Reasoning, Information and Software Technology and The Medical Journal of Australia.
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.