Mariana Neves
- Artificial Intelligence top 2%
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Information Systems top 10%
- Genetics
- Co-authors
- Ulf LeserDavid Luis WiegandtLeon WeberMaryam HabibiJurica ŠevaPhilippe ThomasTim RocktäschelAlberto Pascual-Montano
- Topics
- Biomedical Text Mining and Ontologies (29 papers)Topic Modeling (25 papers)Natural Language Processing Techniques (15 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
In The Last Decade
Mariana Neves
36 papers receiving 760 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 603
- Molecular Biology 533
- Computational Theory and Mathematics 51
- Information Systems 49
- Genetics 26
Countries citing papers authored by Mariana Neves
This map shows the geographic impact of Mariana Neves'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 Mariana Neves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariana Neves more than expected).
Fields of papers citing papers by Mariana Neves
This network shows the impact of papers produced by Mariana Neves. 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 Mariana Neves. The network helps show where Mariana Neves may publish in the future.
Co-authorship network of co-authors of Mariana Neves
This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Neves. A scholar is included among the top collaborators of Mariana Neves 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 Mariana Neves. Mariana Neves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | Overview of the CLEF eHealth 2019 Multilingual Information Extraction. | 9 |
| 7 | Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets | 0 |
| 8 | Deep learning with word embeddings improves biomedical named entity recognitionbreakdown → | 356 |
| 9 | Entity-Supported Summarization of Biomedical Abstracts. | 11 |
| 10 | The Scielo Corpus: a Parallel Corpus of Scientific Publications for Biomedicine. | 19 |
| 11 | HPI question answering system in the BioASQ 2015 challenge | 7 |
| 12 | HPI in-memory-based Database System in Task 2b of BioASQ. | 4 |
| 13 | 27 | |
| 14 | Applying In-Memory Technology for Automatic Template Filling in the Clinical Domain. | 2 |
| 15 | 13 | |
| 16 | WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting | 51 |
| 17 | 22 | |
| 18 | 50 | |
| 19 | 22 | |
| 20 | 14 |
About Mariana Neves
Mariana Neves is a scholar working on Artificial Intelligence, Neuropsychology and Physiological Psychology and Molecular Biology, having authored 41 papers that have together received 803 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (29 papers), Topic Modeling (25 papers) and Natural Language Processing Techniques (15 papers). The work is most often cited by research in Artificial Intelligence (603 citations), Molecular Biology (533 citations) and Health Informatics (8 citations). Mariana Neves has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include Ulf Leser, David Luis Wiegandt, Leon Weber, Maryam Habibi, Jurica Ševa, Philippe Thomas, Tim Rocktäschel, Alberto Pascual-Montano, J.M. Carazo and Antonio Jimeno Yepes. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and 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.