Nasrin Mostafazadeh

1.8k total citations · 1 hit paper
9 papers, 717 citations indexed

About

Nasrin Mostafazadeh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Nasrin Mostafazadeh has authored 9 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Nasrin Mostafazadeh's work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (4 papers). Nasrin Mostafazadeh is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (4 papers). Nasrin Mostafazadeh collaborates with scholars based in United States, United Kingdom and Austria. Nasrin Mostafazadeh's co-authors include Nathanael Chambers, James F. Allen, Lucy Vanderwende, Pushmeet Kohli, Xiaodong He, Dhruv Batra, Devi Parikh, Annie Louis, Michael Roth and Michel Galley and has published in prestigious journals such as Edinburgh Research Explorer (University of Edinburgh) and arXiv (Cornell University).

In The Last Decade

Nasrin Mostafazadeh

9 papers receiving 671 citations

Hit Papers

A Corpus and Cloze Evaluation for Deeper Understanding of... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nasrin Mostafazadeh United States 8 615 293 38 22 21 9 717
Christopher Clark United States 6 424 0.7× 253 0.9× 36 0.9× 20 0.9× 10 0.5× 11 531
Dayiheng Liu China 13 505 0.8× 147 0.5× 46 1.2× 7 0.3× 14 0.7× 49 586
Francis Ferraro United States 9 262 0.4× 145 0.5× 68 1.8× 16 0.7× 5 0.2× 40 383
David K. Elson United States 12 421 0.7× 61 0.2× 48 1.3× 27 1.2× 25 1.2× 18 502
Iulian Vlad Serban Canada 10 977 1.6× 201 0.7× 87 2.3× 23 1.0× 7 0.3× 14 1.1k
Ryan Lowe Canada 8 755 1.2× 140 0.5× 74 1.9× 20 0.9× 6 0.3× 12 813
Sebastian Schuster United States 9 479 0.8× 248 0.8× 52 1.4× 49 2.2× 5 0.2× 22 678
Genta Indra Winata Hong Kong 13 562 0.9× 82 0.3× 60 1.6× 14 0.6× 6 0.3× 45 617
Antonios Anastasopoulos United States 14 611 1.0× 142 0.5× 46 1.2× 11 0.5× 6 0.3× 77 693
Courtney Napoles United States 15 1.1k 1.9× 77 0.3× 88 2.3× 15 0.7× 5 0.2× 21 1.2k

Countries citing papers authored by Nasrin Mostafazadeh

Since Specialization
Citations

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

Fields of papers citing papers by Nasrin Mostafazadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasrin Mostafazadeh

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

All Works

9 of 9 papers shown
1.
Allen, James F., et al.. (2018). Tackling the Story Ending Biases in The Story Cloze Test. 31 indexed citations
2.
Mostafazadeh, Nasrin, Chris Brockett, Bill Dolan, et al.. (2017). Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation. arXiv (Cornell University). 1. 462–472. 13 indexed citations
3.
Mostafazadeh, Nasrin, et al.. (2017). LSDSem 2017 Shared Task: The Story Cloze Test. Edinburgh Research Explorer (University of Edinburgh). 46–51. 74 indexed citations
4.
Mostafazadeh, Nasrin, et al.. (2016). CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures. 51–61. 72 indexed citations
5.
Mostafazadeh, Nasrin, Nathanael Chambers, Xiaodong He, et al.. (2016). A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories. 839–849. 340 indexed citations breakdown →
6.
Huang, Ting-Hao, Francis Ferraro, Nasrin Mostafazadeh, et al.. (2016). Visual Storytelling. 1233–1239. 138 indexed citations
7.
Mostafazadeh, Nasrin, Lucy Vanderwende, Wen-tau Yih, Pushmeet Kohli, & James F. Allen. (2016). Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next. 24–29. 16 indexed citations
8.
Ferraro, Francis, Nasrin Mostafazadeh, Ting-Hao Huang, et al.. (2015). On Available Corpora for Empirical Methods in Vision & Language.. arXiv (Cornell University). 1 indexed citations
9.
Llorens, Héctor, Nathanael Chambers, Naushad UzZaman, et al.. (2015). SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering. 792–800. 32 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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