Cornelia Hedeler
Impact in
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- Scientific Computing and Data Management
- Parasitology top 10%
Papers in
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- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Fungal and yeast genetics research 2
- Yeasts and Rust Fungi Studies 2
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- Advanced Database Systems and Queries 5
- Co-authors
- Norman W. Paton (17 shared papers)Stephen G. Oliver (7 shared papers)Nicholas J. Talbot (5 shared papers)Simon J. Hubbard (5 shared papers)Darren M. Soanes (5 shared papers)Intikhab Álam (5 shared papers)Magnus Rattray (5 shared papers)Andy Brass (3 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Infection and Immunity (1 paper)Briefings in Bioinformatics (1 paper)Yeast (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomFrance
In The Last Decade
Cornelia Hedeler
19 papers receiving 542 citations
Peers
Comparison fields: 5 of 77
- Information Systems and Management 51
- Parasitology 38
- Cell Biology 88
- Management Science and Operations Research 51
- Plant Science 139
Countries citing papers authored by Cornelia Hedeler
This map shows the geographic impact of Cornelia Hedeler'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 Cornelia Hedeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Hedeler more than expected).
Fields of papers citing papers by Cornelia Hedeler
This network shows the impact of papers produced by Cornelia Hedeler. 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 Cornelia Hedeler. The network helps show where Cornelia Hedeler may publish in the future.
Co-authors
The 25 scholars most cited alongside Cornelia Hedeler, 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 | 2008 | 140 | |
| 2 | 2005 | 87 | |
| 3 | 2007 | 76 | |
| 4 | 2007 | 47 | |
| 5 | 2007 | 29 | |
| 6 | 2007 | 29 | |
| 7 | User Feedback as a First Class Citizen in Information Integration Systems | 2011 | 28 |
| 8 | 2003 | 27 | |
| 9 | 2013 | 25 | |
| 10 | 2010 | 23 | |
| 11 | 2007 | 11 | |
| 12 | 2011 | 9 | |
| 13 | 2012 | 9 | |
| 14 | 2006 | 9 | |
| 15 | 2005 | 5 | |
| 16 | 2010 | 2 | |
| 17 | 2014 | 2 | |
| 18 | 2008 | 2 | |
| 19 | 2007 | 1 |
About Cornelia Hedeler
Cornelia Hedeler is a scholar working on Molecular Biology, Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research and Plant Science, having authored 19 papers that have together received 561 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Data Quality and Management (4 papers), Semantic Web and Ontologies (4 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (2 papers), Fungal and yeast genetics research (2 papers) and Yeasts and Rust Fungi Studies (2 papers). The work is most often cited by research in Information Systems and Management (51 citations), Parasitology (38 citations), Cell Biology (88 citations), Management Science and Operations Research (51 citations) and Plant Science (139 citations). Cornelia Hedeler has collaborated with scholars based in United Kingdom and France. Frequent co-authors include Norman W. Paton, Stephen G. Oliver, Nicholas J. Talbot, Simon J. Hubbard, Darren M. Soanes, Intikhab Álam, Magnus Rattray, Andy Brass, Han Min Wong and Suzanne M. Embury. Their work appears in journals such as BMC Bioinformatics, Infection and Immunity, Briefings in Bioinformatics, Yeast and PLoS ONE.
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.