Nasrin Mostafazadeh
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems
- Sociology and Political Science
- General Social Sciences top 5%
- Co-authors
- Nathanael ChambersJames F. AllenLucy VanderwendePushmeet KohliXiaodong HeDevi ParikhDhruv BatraMichael Roth
- Topics
- Natural Language Processing Techniques (6 papers)Topic Modeling (6 papers)Multimodal Machine Learning Applications (4 papers)
- Journals
- Edinburgh Research Explorer (University of Edinburgh)arXiv (Cornell University)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Nasrin Mostafazadeh
9 papers receiving 671 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 615
- Computer Vision and Pattern Recognition 293
- Information Systems 38
- Sociology and Political Science 22
- General Social Sciences 21
Countries citing papers authored by Nasrin Mostafazadeh
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation | 13 |
| 3 | 74 | |
| 4 | 72 | |
| 5 | A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Storiesbreakdown → | 340 |
| 6 | 138 | |
| 7 | 16 | |
| 8 | On Available Corpora for Empirical Methods in Vision & Language. | 1 |
| 9 | 32 |
About Nasrin Mostafazadeh
Nasrin Mostafazadeh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 9 papers that have together received 717 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Artificial Intelligence (615 citations), Computer Vision and Pattern Recognition (293 citations) and General Social Sciences (21 citations). Nasrin Mostafazadeh has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Nathanael Chambers, James F. Allen, Lucy Vanderwende, Pushmeet Kohli, Xiaodong He, Devi Parikh, Dhruv Batra, Michael Roth, Annie Louis and Michel Galley. Their work appears in journals such as Edinburgh Research Explorer (University of Edinburgh) and arXiv (Cornell University).
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.