Benjamin M. Good
- Virology top 1%
- HIV Research and Treatment 6
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- Mobile Crowdsensing and Crowdsourcing 5
- Infectious Diseases top 5%
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- Scientific Computing and Data Management 8
- Communication top 10%
- Wikis in Education and Collaboration 10
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- Biomedical Text Mining and Ontologies 29
- Bioinformatics and Genomic Networks 15
- Genomics and Phylogenetic Studies 8
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- Semantic Web and Ontologies 10
- Co-authors
- Andrew I. SuSatish K. PillaiDouglas D. RichmanMark D. WilkinsonThomas HentrichJacques CorbeilJoseph K. WongDavey M. Smith
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Benjamin M. Good
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 147
- Virology 493
- Computer Science Applications 126
- Infectious Diseases 387
- Information Systems and Management 96
- Communication 75
Countries citing papers authored by Benjamin M. Good
This map shows the geographic impact of Benjamin M. Good'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 M. Good with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin M. Good more than expected).
Fields of papers citing papers by Benjamin M. Good
This network shows the impact of papers produced by Benjamin M. Good. 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 M. Good. The network helps show where Benjamin M. Good may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin M. Good, 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 | 2020 | 5 | |
| 2 | 2019 | 7 | |
| 3 | 2019 | 67 | |
| 4 | 2016 | 5 | |
| 5 | Linking Wikidata to the Rest of the Semantic Web. | 2016 | 1 |
| 6 | 2016 | 31 | |
| 7 | 2016 | 6 | |
| 8 | 2015 | 68 | |
| 9 | 2014 | 45 | |
| 10 | 2014 | 27 | |
| 11 | 2013 | 96 | |
| 12 | 2013 | 10 | |
| 13 | 2012 | 10 | |
| 14 | 2011 | 57 | |
| 15 | Term based comparison metrics for controlled and uncontrolled indexing languages | 2009 | 9 |
| 16 | 2008 | 8 | |
| 17 | 2007 | 5 | |
| 18 | 2006 | 84 | |
| 19 | 2006 | 56 | |
| 20 | 2003 | 105 |
About Benjamin M. Good
Benjamin M. Good is a scholar working on Communication, Virology, Information Systems and Management, Computer Science Applications and Molecular Biology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (29 papers), Bioinformatics and Genomic Networks (15 papers), Semantic Web and Ontologies (10 papers), Wikis in Education and Collaboration (10 papers), Genomics and Phylogenetic Studies (8 papers), Scientific Computing and Data Management (8 papers), HIV Research and Treatment (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Virology (493 citations), Computer Science Applications (126 citations), Infectious Diseases (387 citations), Information Systems and Management (96 citations) and Communication (75 citations). Benjamin M. Good has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Andrew I. Su, Satish K. Pillai, Douglas D. Richman, Mark D. Wilkinson, Thomas Hentrich, Jacques Corbeil, Joseph K. Wong, Davey M. Smith, Erik Clarke and Sergei L. Kosakovsky Pond. Their work appears in journals such as Database, Bioinformatics, Journal of Virology, PLoS ONE and Briefings in 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.