Malcolm Farrow

811 citations
45 papers · 595 · h-index 13

Impact in

Papers in

Malcolm Farrow

43 papers receiving 548 citations

Peers

Malcolm Farrow
Comparison fields: 5 of 115
  • Nephrology 50
  • Statistics and Probability 51
  • Safety, Risk, Reliability and Quality 29
  • Management Science and Operations Research 35
  • Dermatology 16
Replace James W. Frane with:
James W. Frane United States
David F. Percy United Kingdom
Juho Piironen Finland
Laurence L. George United States
Vicente Núñez‐Antón Spain
K. D. S. Young United Kingdom
Elisabeth Waldmann Germany
Jason D. Nielsen Canada
Alexander Kowarik Austria
Bernd Streitberg Germany
Malcolm Farrow relative to James W. Frane United States James W. Frane's profile →
Citations per field
00.5×2×4×6×8×9.7×
James W. Frane · 1×
Citations per year

Countries citing papers authored by Malcolm Farrow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Malcolm Farrow Line = papers co-authored together Malcolm Farrow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199952
2 200652
3 200150
4 201841
5 198839
6 198535
7 200927
8 200626
9 201226
10 198823
11 200622
12 199316
13 202016
14 200313
15 200212
16 199311
17 200611
18 201711
19 199210
20 200410

About Malcolm Farrow

Malcolm Farrow is a scholar working on Statistics and Probability, Management Science and Operations Research, Information Systems, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 595 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Software Engineering Techniques and Practices (4 papers), Bayesian Modeling and Causal Inference (4 papers), Statistical Distribution Estimation and Applications (3 papers), Optimal Experimental Design Methods (3 papers), Multi-Criteria Decision Making (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Nephrology (50 citations), Statistics and Probability (51 citations), Safety, Risk, Reliability and Quality (29 citations), Management Science and Operations Research (35 citations) and Dermatology (16 citations). Malcolm Farrow has collaborated with scholars based in United Kingdom, Germany and Iraq. Frequent co-authors include Wallace Arthur, Michael Oakes, Michael Goldstein, Warren G. Gilchrist, Kevin J. Wilson, N. P. Keaney, Brian K. Saxby, Margaret Carol Bell, Dilum Abeyakone 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, Empirical Software Engineering and Blood.

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.

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