Atefeh Farzindar

1.6k total citations · 1 hit paper
22 papers, 863 citations indexed

About

Atefeh Farzindar is a scholar working on Artificial Intelligence, Political Science and International Relations and Language and Linguistics. According to data from OpenAlex, Atefeh Farzindar has authored 22 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 3 papers in Political Science and International Relations and 3 papers in Language and Linguistics. Recurrent topics in Atefeh Farzindar's work include Natural Language Processing Techniques (15 papers), Topic Modeling (12 papers) and Authorship Attribution and Profiling (3 papers). Atefeh Farzindar is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (12 papers) and Authorship Attribution and Profiling (3 papers). Atefeh Farzindar collaborates with scholars based in Canada, United States and United Kingdom. Atefeh Farzindar's co-authors include Wael Khreich, Diana Inkpen, Fatiha Sadat, Guy Lapalme, Lucia Specia, Meena Nagarajan, Ji Liu, Michael Gamon, Diman Ghazi and Cristian Danescu-Niculescu-Mizil and has published in prestigious journals such as Language Resources and Evaluation, Journal of Intelligent Information Systems and Computational Intelligence.

In The Last Decade

Atefeh Farzindar

21 papers receiving 791 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Techniques for Event Detection in Twitter

2013 459 citations Atefeh Farzindar, Wael Khreich Computational Intelligence profile →

Peers

Atefeh Farzindar

AI

SNP

IS

COMMU

SPS

Brendan Meeder United States

Ayşe Göker United Kingdom

Hemant Purohit United States

Fabian Abel Germany

Marisa Vasconcelos Brazil

Gabriel Magno Brazil

Luigi Di Italy

Delip Rao United States

Muhammad Bilal Zafar Germany

Hemank Lamba United States

Brendan Meeder United States

Atefeh Farzindar

350 ×0.6

AI

614 ×2.8

SNP

196 ×1.1

IS

219 ×2.0

COMMU

292 ×2.8

SPS

Citations per year, relative to Atefeh Farzindar Atefeh Farzindar (= 1×) peers Brendan Meeder

Countries citing papers authored by Atefeh Farzindar

Since Specialization

Citations

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

Fields of papers citing papers by Atefeh Farzindar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atefeh Farzindar

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

All Works

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20 of 20 papers shown

1.

Farzindar, Atefeh, et al.. (2018). Anemic Status Prediction using Multilayer Perceptron Neural Network Model. EPiC series in computing. 5 indexed citations

2.

Inkpen, Diana, et al.. (2017). Location detection and disambiguation from twitter messages. Journal of Intelligent Information Systems. 49(2). 237–253. 27 indexed citations

3.

Farzindar, Atefeh & Diana Inkpen. (2015). Natural Language Processing for Social Media. 8(2). 1–166. 56 indexed citations

4.

Farzindar, Atefeh & Diana Inkpen. (2015). Natural Language Processing for Social Media. 25 indexed citations

5.

Farzindar, Atefeh, et al.. (2014). Hashtag Occurrences, Layout and Translation: A Corpus-driven Analysis of Tweets Published by the Canadian Government. Language Resources and Evaluation. 2254–2261. 2 indexed citations

6.

Sadat, Fatiha, et al.. (2014). Automatic Identification of Arabic Language Varieties and Dialects in Social Media. 22–27. 55 indexed citations

7.

Sadat, Fatiha, et al.. (2014). Automatic identification of arabic dialects in social media. 35–40. 39 indexed citations

8.

Sadat, Fatiha, et al.. (2014). Collaboratively Constructed Linguistic Resources for Language Variants and their Exploitation in NLP Application – the case of Tunisian Arabic and the Social Media. 22 indexed citations

9.

Farzindar, Atefeh, et al.. (2013). Traitement automatique des langues. Agritrop (Cirad). 24 indexed citations

10.

Langlais, Philippe, et al.. (2013). Translating Government Agenciesâ€™ Tweet Feeds: Specificities, Problems and (a few) Solutions. 80–89. 10 indexed citations

11.

Farzindar, Atefeh & Wael Khreich. (2013). A Survey of Techniques for Event Detection in Twitter. Computational Intelligence. 31(1). 132–164. 459 indexed citations breakdown →

12.

Farzindar, Atefeh & Mathieu Roche. (2013). Les défis de l'analyse des réseaux sociaux pour le traitement automatique des langues. Agritrop (Cirad). 2 indexed citations

13.

Farzindar, Atefeh & Vlado Kešelj. (2010). Advances in artificial intelligence : 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 - June 2, 2010 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations

14.

Specia, Lucia & Atefeh Farzindar. (2010). Estimating Machine Translation Post-Editing Effort with HTER. 33–43. 29 indexed citations

15.

Farzindar, Atefeh & Vlado Kešelj. (2010). Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence. 1 indexed citations

16.

Lapalme, Guy, et al.. (2008). Automatic Translation of Court Judgments. Conference of the Association for Machine Translation in the Americas. 370–379. 2 indexed citations

17.

Farzindar, Atefeh, et al.. (2005). CATS a topic-oriented multi-document summarization system at DUC 2005. 9 indexed citations

18.

Farzindar, Atefeh & Guy Lapalme. (2004). LetSum, an automatic Legal Text Summarizing system. 25 indexed citations

19.

Farzindar, Atefeh & Guy Lapalme. (2004). Legal Text Summarization by Exploration of the Thematic Structure and Argumentative Roles. 27–34. 38 indexed citations

20.

Farzindar, Atefeh, Guy Lapalme, & Horacio Saggion. (2002). Summaries with SumUM and its Expansion for Document Understanding Conference (DUC 2002). 2 indexed citations

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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