Nona Naderi

766 total citations
36 papers, 392 citations indexed

About

Nona Naderi is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Nona Naderi has authored 36 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Molecular Biology and 4 papers in Sociology and Political Science. Recurrent topics in Nona Naderi's work include Biomedical Text Mining and Ontologies (14 papers), Topic Modeling (14 papers) and Natural Language Processing Techniques (9 papers). Nona Naderi is often cited by papers focused on Biomedical Text Mining and Ontologies (14 papers), Topic Modeling (14 papers) and Natural Language Processing Techniques (9 papers). Nona Naderi collaborates with scholars based in Switzerland, Canada and France. Nona Naderi's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Medical Internet Research.

In The Last Decade

Nona Naderi

34 papers receiving 373 citations

Peers

Nona Naderi
Comparison fields: 5 of 83
  • Artificial Intelligence 249
  • Molecular Biology 130
  • Information Systems 68
  • Sociology and Political Science 42
  • Genetics 42
Replace Chico Q. Camargo with:
Chico Q. Camargo United Kingdom
Gerold Schneider Switzerland
Prajwal Devkota United States
Anne Lauscher Germany
David Wadden United States
Federico Germani Switzerland
Samuel Carton United States
Li Lucy United States
Jorge Carrillo‐de‐Albornoz Spain
Peter Kraker Austria
Chico Q. Camargo United Kingdom View profile →
Citations per field, relative to Nona Naderi
Nona Naderi · 1×
Citations per year, relative to Nona Naderi
Nona Naderi · 1×

Countries citing papers authored by Nona Naderi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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