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.
VQA: Visual Question Answering
20152.3k citationsAishwarya Agrawal, Margaret Mitchell et al.profile →
From captions to visual concepts and back
2015774 citationsXiaodong He, Margaret Mitchell et al.profile →
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
2015432 citationsMichel Galley, Margaret Mitchell et al.profile →
Closing the AI accountability gap
2020407 citationsMargaret Mitchell et al.profile →
VQA: Visual Question Answering
2016345 citationsAishwarya Agrawal, Margaret Mitchell et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Margaret Mitchell
Since
Specialization
Citations
This map shows the geographic impact of Margaret Mitchell'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 Margaret Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Mitchell more than expected).
Fields of papers citing papers by Margaret Mitchell
This network shows the impact of papers produced by Margaret Mitchell. 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 Margaret Mitchell. The network helps show where Margaret Mitchell may publish in the future.
Co-authorship network of co-authors of Margaret Mitchell
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Mitchell.
A scholar is included among the top collaborators of Margaret Mitchell 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 Margaret Mitchell. Margaret Mitchell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Huang, Ting-Hao, Francis Ferraro, Nasrin Mostafazadeh, et al.. (2016). Visual Storytelling. 1233–1239.138 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.
Misra, Ishan, C. Lawrence Zitnick, Margaret Mitchell, & Ross Girshick. (2015). Learning Visual Classifiers using Human-centric Annotations.. arXiv (Cornell University).2 indexed citations
Mitchell, Margaret. (2013). Overview of the TAC2013 Knowledge Base Population Evaluation: English Sentiment Slot Filling.. Theory and applications of categories.8 indexed citations
13.
Viethen, Jette, Margaret Mitchell, & Emiel Krahmer. (2013). Graphs and Spatial Relations in the Generation of Referring Expressions. 72–81.8 indexed citations
14.
Mitchell, Margaret & Richard Sproat. (2012). Discourse-Based Modeling for AAC. North American Chapter of the Association for Computational Linguistics. 9–18.3 indexed citations
15.
Mitchell, Margaret, Kees van Deemter, & Ehud Reiter. (2011). On the Use of Size Modifiers When Referring to Visible Objects. Cognitive Science. 33(33).5 indexed citations
16.
Mitchell, Margaret, et al.. (2011). Semi-Supervised Modeling for Prenominal Modifier Ordering. Meeting of the Association for Computational Linguistics. 236–241.6 indexed citations
17.
Mitchell, Margaret, Kees van Deemter, & Ehud Reiter. (2011). Two Approaches for Generating Size Modifiers. 63–70.6 indexed citations
18.
Mitchell, Margaret, et al.. (2010). Prenominal Modifier Ordering via Multiple Sequence Alignment. North American Chapter of the Association for Computational Linguistics. 600–608.3 indexed citations
Mitchell, Margaret, et al.. (2003). Autant en emporte le vent. Gallimard eBooks.1 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.