Parinaz Sobhani

2.0k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Parinaz Sobhani is a scholar working on Artificial Intelligence, Sociology and Political Science and Signal Processing. According to data from OpenAlex, Parinaz Sobhani has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 1 paper in Signal Processing. Recurrent topics in Parinaz Sobhani's work include Sentiment Analysis and Opinion Mining (9 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (5 papers). Parinaz Sobhani is often cited by papers focused on Sentiment Analysis and Opinion Mining (9 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (5 papers). Parinaz Sobhani collaborates with scholars based in Canada, United States and Poland. Parinaz Sobhani's co-authors include Svetlana Kiritchenko, Saif M. Mohammad, Xiaodan Zhu, Colin Cherry, Diana Inkpen, Stan Matwin, Hongyu Guo, Hongyu Guo and Hamid Beigy and has published in prestigious journals such as Language Resources and Evaluation, ACM Transactions on Internet Technology and Computational Intelligence.

In The Last Decade

Parinaz Sobhani

10 papers receiving 975 citations

Hit Papers

SemEval-2016 Task 6: Detecting Stance in Tweets 2016 2026 2019 2022 2016 100 200 300 400

Peers

Parinaz Sobhani
Comparison fields: 5 of 60
  • Artificial Intelligence 898
  • Sociology and Political Science 284
  • Information Systems 183
  • Statistical and Nonlinear Physics 150
  • Communication 79
Replace Delip Rao with:
Delip Rao United States
Roy Ka-Wei Lee Singapore
Dan Liebling United States
Johannes Kiesel Germany
Sameena Shah United States
David Vilares Spain
Marco Lui Australia
Shane Bergsma Canada
Noura Farra United States
Hang Su China
Delip Rao United States View profile →
Citations per field, relative to Parinaz Sobhani
Parinaz Sobhani · 1×
Citations per year, relative to Parinaz Sobhani
Parinaz Sobhani · 1×

Countries citing papers authored by Parinaz Sobhani

Since Specialization
Citations

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

Fields of papers citing papers by Parinaz Sobhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parinaz Sobhani

This figure shows the co-authorship network connecting the top 25 collaborators of Parinaz Sobhani. A scholar is included among the top collaborators of Parinaz Sobhani 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 Parinaz Sobhani. Parinaz Sobhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 20
2 87
3 254
4
SemEval-2016 Task 6: Detecting Stance in Tweets breakdown →
488
5
A Dataset for Detecting Stance in Tweets.
47
6 18
7 82
8 57
9 7
10 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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