Sarvnaz Karimi

2.7k total citations
92 papers, 1.6k citations indexed

About

Sarvnaz Karimi is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Sarvnaz Karimi has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 37 papers in Molecular Biology and 12 papers in Information Systems. Recurrent topics in Sarvnaz Karimi's work include Topic Modeling (43 papers), Biomedical Text Mining and Ontologies (36 papers) and Natural Language Processing Techniques (14 papers). Sarvnaz Karimi is often cited by papers focused on Topic Modeling (43 papers), Biomedical Text Mining and Ontologies (36 papers) and Natural Language Processing Techniques (14 papers). Sarvnaz Karimi collaborates with scholars based in Australia, United States and Spain. Sarvnaz Karimi's co-authors include Cécile Paris, Alejandro Metke‐Jimenez, Chen Wang, Jie Yin, David Newman, Madonna Kemp, Falk Scholer, Xiang Dai, Timothy Baldwin and Anthony Nguyen and has published in prestigious journals such as PLoS ONE, ACM Computing Surveys and BMC Bioinformatics.

In The Last Decade

Sarvnaz Karimi

87 papers receiving 1.5k citations

Peers

Sarvnaz Karimi
Comparison fields: 5 of 132
  • Artificial Intelligence 1.0k
  • Molecular Biology 364
  • Information Systems 193
  • Sociology and Political Science 151
  • Communication 132
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Citations per field, relative to Sarvnaz Karimi
Sarvnaz Karimi · 1×
Citations per year, relative to Sarvnaz Karimi
Sarvnaz Karimi · 1×

Countries citing papers authored by Sarvnaz Karimi

Since Specialization
Citations

This map shows the geographic impact of Sarvnaz Karimi'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 Sarvnaz Karimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarvnaz Karimi more than expected).

Fields of papers citing papers by Sarvnaz Karimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarvnaz Karimi. 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 Sarvnaz Karimi. The network helps show where Sarvnaz Karimi may publish in the future.

Co-authorship network of co-authors of Sarvnaz Karimi

This figure shows the co-authorship network connecting the top 25 collaborators of Sarvnaz Karimi. A scholar is included among the top collaborators of Sarvnaz Karimi 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 Sarvnaz Karimi. Sarvnaz Karimi 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 4
2 2
3 0
4 0
5 1
6 8
7 11
8 7
9 55
10
CSIROmed at TREC Precision Medicine 2020.
1
11
CSIRO at 2019 TREC Precision Medicine Track.
4
12 29
13
CSIRO at 2017 TREC Precision Medicine Track.
2
14
CSIRO at TREC Clinical Decision Support Track.
3
15
Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track
4
16
External evaluation of topic models
43
17
Facilitating biomedical systematic reviews using text classification and ranked retrieval
7
18
Facilitating biomedical systematic reviews using ranked text retrieval and classification
14
19
Corpus Effects on the Evaluation of Automated Transliteration Systems
8
20
Collapsed Consonant and Vowel Models: New Approaches for English-Persian Transliteration and Back-Transliteration
1

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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