Eric Biggers
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Teaching and Learning Programming 1
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- Experimental Learning in Engineering 1
- Co-authors
- Jer-Ming Chia (1 shared paper)Elena Ghiban (1 shared paper)Susan R. McCouch (1 shared paper)Melissa Kramer (1 shared paper)Alejandro H. Wences (1 shared paper)James Gurtowski (1 shared paper)Eric Antoniou (1 shared paper)William Richard McCombie (1 shared paper)
- Journals
- IACR Transactions on Symmetric Cryptology (1 paper)Genome biology (1 paper)Nature Genetics (1 paper)ACM Technical Symposium on Computer Science Education (SIGCSE) (1 paper)
- Partner nations
- United StatesMexicoChina
In The Last Decade
Eric Biggers
4 papers receiving 739 citations
Eric Biggers's Hit Papers
Peers
Comparison fields: 5 of 41
- Plant Science 473
- Genetics 177
- Molecular Biology 295
- Ecology, Evolution, Behavior and Systematics 48
- Endocrine and Autonomic Systems 12
Countries citing papers authored by Eric Biggers
This map shows the geographic impact of Eric Biggers'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 Eric Biggers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Biggers more than expected).
Fields of papers citing papers by Eric Biggers
This network shows the impact of papers produced by Eric Biggers. 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 Eric Biggers. The network helps show where Eric Biggers may publish in the future.
Co-authors
The 15 scholars most cited alongside Eric Biggers, 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 | The pineapple genome and the evolution of CAM photosynthesis Hit paper breakdown → | 2015 | 472 |
| 2 | 2014 | 237 | |
| 3 | 2018 | 39 | |
| 4 | 2012 | 11 |
About Eric Biggers
Eric Biggers is a scholar working on Computer Science Applications, Media Technology, Information Systems, Molecular Biology and Genetics, having authored 4 papers that have together received 759 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Cloud Computing and Resource Management (1 paper), Plant Molecular Biology Research (1 paper), Cryptographic Implementations and Security (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Teaching and Learning Programming (1 paper), Chromosomal and Genetic Variations (1 paper) and Experimental Learning in Engineering (1 paper). The work is most often cited by research in Plant Science (473 citations), Genetics (177 citations), Molecular Biology (295 citations), Ecology, Evolution, Behavior and Systematics (48 citations) and Endocrine and Autonomic Systems (12 citations). Eric Biggers has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Jer-Ming Chia, Elena Ghiban, Susan R. McCouch, Melissa Kramer, Alejandro H. Wences, James Gurtowski, Eric Antoniou, William Richard McCombie, Michael C. Schatz and Joshua C. Stein. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Genome biology, Nature Genetics and ACM Technical Symposium on Computer Science Education (SIGCSE).
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.