Margaret Mitchell

62 papers receiving 9.9k citations

Margaret Mitchell's Hit Papers

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure 2021 · 211 citations
2110+3+7Years since publication10002.0k3.0k

Peers

Margaret Mitchell
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 4.1k
  • Safety Research 1.3k
  • Artificial Intelligence 1.8k
  • Health Informatics 45
  • Social Psychology 389
Replace Mohit Bansal with:
Mohit Bansal United States
Yejin Choi United States
Ayanna Howard United States
Jesse Hoey Canada
Nils Reimers Germany
Daniel Gática-Pérez Switzerland
Yacine Jernite United States
Samuel R. Bowman United States
Dakuo Wang United States
Mark S. Johnson United States
Margaret Mitchell relative to Mohit Bansal United States Mohit Bansal's profile →
Citations per field
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Citations per year

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Margaret Mitchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Margaret Mitchell Line = papers co-authored together Margaret Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
VQA: Visual Question Answering
Hit paper breakdown →
20153116
2
From captions to visual concepts and back
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2015985
3
Mitigating Unwanted Biases with Adversarial Learning
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2018865
4
Closing the AI accountability gap
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2020650
5
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
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2015561
6 2016439
7 2011293
8
Midge: Generating Image Descriptions From Computer Vision Detections
2012290
9 2015247
10
50 Years of Test (Un)fairness
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2019226
11
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
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2021211
12 2020198
13 2016197
14
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
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2021186
15 2016168
16 2015159
17 2013156
18 2016138
19 2015132
20 2017121

About Margaret Mitchell

Margaret Mitchell is a scholar working on Safety Research, Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology and Social Psychology, having authored 63 papers that have together received 10.3k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (14 papers), Multimodal Machine Learning Applications (11 papers), Natural Language Processing Techniques (7 papers), Sentiment Analysis and Opinion Mining (3 papers), Categorization, perception, and language (3 papers), Speech and dialogue systems (3 papers), Mental Health via Writing (3 papers) and Privacy-Preserving Technologies in Data (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (4.1k citations), Safety Research (1.3k citations), Artificial Intelligence (1.8k citations), Health Informatics (45 citations) and Social Psychology (389 citations). Margaret Mitchell has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include C. Lawrence Zitnick, Devi Parikh, Dhruv Batra, Aishwarya Agrawal, Stanislaw Antol, Jiasen Lu, Brian Hu Zhang, Kristy Hollingshead, Xiaodong He and Timnit Gebru. Their work appears in journals such as International Journal of Computer Vision, AI Magazine, npj Digital Medicine, Theory and applications of categories and IEEE Transactions on Audio Speech and Language Processing.

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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