Nona Naderi
- Artificial Intelligence top 5%
- Molecular Biology
- Information Systems top 10%
- Sociology and Political Science
- Genetics
- Co-authors
- Graeme HirstRené WitteHenning WachsmuthBenno SteinYufang HouChristopher J. O. BakerVinodkumar PrabhakaranYonatan Bilu
- Topics
- Biomedical Text Mining and Ontologies (14 papers)Topic Modeling (14 papers)Natural Language Processing Techniques (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsJournal of Medical Internet Research
- Partner nations
- SwitzerlandCanadaFrance
In The Last Decade
Nona Naderi
34 papers receiving 373 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 249
- Molecular Biology 130
- Information Systems 68
- Sociology and Political Science 42
- Genetics 42
Countries citing papers authored by Nona Naderi
This map shows the geographic impact of Nona Naderi'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 Nona Naderi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nona Naderi more than expected).
Fields of papers citing papers by Nona Naderi
This network shows the impact of papers produced by Nona Naderi. 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 Nona Naderi. The network helps show where Nona Naderi may publish in the future.
Co-authorship network of co-authors of Nona Naderi
This figure shows the co-authorship network connecting the top 25 collaborators of Nona Naderi. A scholar is included among the top collaborators of Nona Naderi 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 Nona Naderi. Nona Naderi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | A Baseline Approach for Early Detection of Signs of Anorexia and Self-harm in Reddit Posts. | 5 |
| 13 | Data-driven approach for measuring the severity of the signs of depression using reddit posts : | 2 |
| 14 | 27 | |
| 15 | 2 | |
| 16 | 20 | |
| 17 | Relation between General Health and Procrastination | 3 |
| 18 | Automated Extraction of Protein Mutation Impacts from the Biomedical Literature | 1 |
| 19 | Ontology-Based Extraction and Summarization of Protein Mutation Impact Information | 4 |
| 20 | 29 |
About Nona Naderi
Nona Naderi is a scholar working on Health Informatics, Artificial Intelligence and Health Information Management, having authored 36 papers that have together received 392 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (14 papers), Topic Modeling (14 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (249 citations), General Social Sciences (15 citations) and Health Informatics (6 citations). Nona Naderi has collaborated with scholars based in Switzerland, Canada and France. Frequent co-authors include Graeme Hirst, René Witte, Henning Wachsmuth, Benno Stein, Yufang Hou, Christopher J. O. Baker, Vinodkumar Prabhakaran, Yonatan Bilu, Douglas Teodoro and Thomas Kappler. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Medical Internet Research.
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.