James D. Malley
Impact in
- Genetics top 2%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Statistics and Probability top 1%
Papers in
- Co-authors
- Carolin StroblGerhard TutzRonald M. SummersAndreas ZieglerDaniel Q. NaimanKaren G. MalleyMichael ParisiScott Eastman
- Journals
- BioData Mining (7 papers)Radiology (5 papers)Journal of the American Statistical Association (3 papers)Physics Letters A (3 papers)Physical Review A (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
James D. Malley
108 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 224
- Genetics 1.1k
- Statistics and Probability 276
- Rheumatology 484
- Immunology 586
- Artificial Intelligence 848
Countries citing papers authored by James D. Malley
This map shows the geographic impact of James D. Malley'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 James D. Malley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Malley more than expected).
Fields of papers citing papers by James D. Malley
This network shows the impact of papers produced by James D. Malley. 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 James D. Malley. The network helps show where James D. Malley may publish in the future.
Co-authors
The 25 scholars most cited alongside James D. Malley, 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 | 2016 | 48 | |
| 2 | 2016 | 2 | |
| 3 | 2015 | 11 | |
| 4 | 2013 | 3 | |
| 5 | 2011 | 52 | |
| 6 | An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests. Hit paper breakdown → | 2009 | 1865 |
| 7 | 2009 | 20 | |
| 8 | 2008 | 26 | |
| 9 | 2007 | 96 | |
| 10 | 2006 | 57 | |
| 11 | 2003 | 428 | |
| 12 | 2002 | 349 | |
| 13 | 2002 | 12 | |
| 14 | 2002 | 75 | |
| 15 | 2000 | 47 | |
| 16 | 2000 | 157 | |
| 17 | 1998 | 49 | |
| 18 | 1994 | 58 | |
| 19 | 1994 | 6 | |
| 20 | 1982 | 10 |
About James D. Malley
James D. Malley is a scholar working on Behavioral Neuroscience, Statistics and Probability, Gastroenterology, Genetics and Artificial Intelligence, having authored 110 papers that have together received 7.5k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (14 papers), Genetic Associations and Epidemiology (13 papers), Gene expression and cancer classification (12 papers), Quantum Mechanics and Applications (9 papers), Inflammatory Myopathies and Dermatomyositis (9 papers), Quantum Information and Cryptography (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Genetics (1.1k citations), Statistics and Probability (276 citations), Rheumatology (484 citations), Immunology (586 citations) and Artificial Intelligence (848 citations). James D. Malley has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Carolin Strobl, Gerhard Tutz, Ronald M. Summers, Andreas Ziegler, Daniel Q. Naiman, Karen G. Malley, Michael Parisi, Scott Eastman, Rachel Nuttall and Brian Oliver. Their work appears in journals such as BioData Mining, Radiology, Journal of the American Statistical Association, Physics Letters A and Physical Review A.
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.