Benjamin J. Keller
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 2%
- Software Engineering Research
- Recommender Systems and Techniques
Papers in
-
- Biomedical Text Mining and Ontologies 5
-
- Recommender Systems and Techniques 4
- Software Engineering Research 3
- Co-authors
- Naren Ramakrishnan (7 shared papers)Spencer S. Pearson (1 shared paper)José Campos (1 shared paper)Michael D. Ernst (1 shared paper)Gordon Fraser (1 shared paper)Rui Abreu (1 shared paper)René Just (1 shared paper)Matthias Kretzler (6 shared papers)
- Journals
- IEEE Internet Computing (1 paper)BioData Mining (1 paper)BMC Systems Biology (1 paper)PLoS Genetics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Benjamin J. Keller
24 papers receiving 883 citations
Benjamin J. Keller's Hit Papers
Peers
Comparison fields: 5 of 110
- Software 263
- Information Systems 379
- Nephrology 104
- Artificial Intelligence 192
- Health Information Management 26
Countries citing papers authored by Benjamin J. Keller
This map shows the geographic impact of Benjamin J. Keller'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 Benjamin J. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin J. Keller more than expected).
Fields of papers citing papers by Benjamin J. Keller
This network shows the impact of papers produced by Benjamin J. Keller. 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 Benjamin J. Keller. The network helps show where Benjamin J. Keller may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin J. Keller, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evaluating and Improving Fault Localization Hit paper breakdown → | 2017 | 288 |
| 2 | 2001 | 121 | |
| 3 | 2014 | 108 | |
| 4 | 2003 | 65 | |
| 5 | 2011 | 49 | |
| 6 | 2010 | 44 | |
| 7 | 2011 | 41 | |
| 8 | 2007 | 34 | |
| 9 | 2013 | 32 | |
| 10 | 2008 | 31 | |
| 11 | 2021 | 21 | |
| 12 | 2010 | 15 | |
| 13 | 2010 | 13 | |
| 14 | Formal concept analysis of disease similarity. | 2012 | 11 |
| 15 | 2023 | 8 | |
| 16 | 2011 | 7 | |
| 17 | 2007 | 7 | |
| 18 | 2010 | 5 | |
| 19 | 2009 | 5 | |
| 20 | 2006 | 4 |
About Benjamin J. Keller
Benjamin J. Keller is a scholar working on Molecular Biology, Information Systems, Artificial Intelligence, Genetics and Information Systems and Management, having authored 24 papers that have together received 916 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Recommender Systems and Techniques (4 papers), Software Engineering Research (3 papers), Scientific Computing and Data Management (3 papers), Genetic Syndromes and Imprinting (3 papers), Software Reliability and Analysis Research (2 papers), Advanced Software Engineering Methodologies (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Software (263 citations), Information Systems (379 citations), Nephrology (104 citations), Artificial Intelligence (192 citations) and Health Information Management (26 citations). Benjamin J. Keller has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Naren Ramakrishnan, Spencer S. Pearson, José Campos, Michael D. Ernst, Gordon Fraser, Rui Abreu, René Just, Matthias Kretzler, Sebastian Martini and Ananth Grama. Their work appears in journals such as IEEE Internet Computing, BioData Mining, BMC Systems Biology, PLoS Genetics and BMC Bioinformatics.
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.