Gabor Melli
- Molecular Biology top 10%
- Ecology top 5%
- Microbiology top 1%
- Epidemiology
- Infectious Diseases top 10%
- Co-authors
- Martin EsterJames WagnerLeonard J. FosterRaymond LoFiona S. L. BrinkmanNancy YuPhuong DaoS. Cenk Şahinalp
- Topics
- Semantic Web and Ontologies (5 papers)Natural Language Processing Techniques (5 papers)Biomedical Text Mining and Ontologies (3 papers)
- Journals
- BioinformaticsLanguage Resources and EvaluationInternational Journal of Information Technology & Decision Making
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Gabor Melli
10 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.2k
- Ecology 465
- Microbiology 285
- Epidemiology 242
- Infectious Diseases 240
Countries citing papers authored by Gabor Melli
This map shows the geographic impact of Gabor Melli'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 Gabor Melli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabor Melli more than expected).
Fields of papers citing papers by Gabor Melli
This network shows the impact of papers produced by Gabor Melli. 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 Gabor Melli. The network helps show where Gabor Melli may publish in the future.
Co-authorship network of co-authors of Gabor Melli
This figure shows the co-authorship network connecting the top 25 collaborators of Gabor Melli. A scholar is included among the top collaborators of Gabor Melli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabor Melli. Gabor Melli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | GM-RKB WikiText Error Correction Task and Baselines. | 1 |
| 2 | 10 | |
| 3 | Identifying Untyped Relation Mentions in a Corpus given an Ontology | 1 |
| 4 | 4 | |
| 5 | 4 | |
| 6 | Concept Mentions within KDD-2009 Abstracts (kdd09cma1) Linked to a KDD Ontology (kddo1) | 3 |
| 7 | 1 | |
| 8 | PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotesbreakdown → | 1935 |
| 9 | Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts. | 5 |
| 10 | 16 | |
| 11 | 1 |
About Gabor Melli
Gabor Melli is a scholar working on Information Systems, Artificial Intelligence and Communication, having authored 11 papers that have together received 2.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Microbiology (285 citations), Endocrinology (181 citations) and Molecular Medicine (104 citations). Gabor Melli has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Martin Ester, James Wagner, Leonard J. Foster, Raymond Lo, Fiona S. L. Brinkman, Nancy Yu, Phuong Dao, S. Cenk Şahinalp, Matthew R. Laird and Brendan Kitts. Their work appears in journals such as Bioinformatics, Language Resources and Evaluation and International Journal of Information Technology & Decision Making.
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.