Danna Gurari

1.1k total citations
41 papers, 604 citations indexed

About

Danna Gurari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Danna Gurari has authored 41 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 12 papers in Cognitive Neuroscience. Recurrent topics in Danna Gurari's work include Mobile Crowdsensing and Crowdsourcing (11 papers), Tactile and Sensory Interactions (11 papers) and Multimodal Machine Learning Applications (10 papers). Danna Gurari is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (11 papers), Tactile and Sensory Interactions (11 papers) and Multimodal Machine Learning Applications (10 papers). Danna Gurari collaborates with scholars based in United States, United Kingdom and Germany. Danna Gurari's co-authors include Abigale Stangl, Meredith Ringel Morris, Kristen Grauman, Samreen Anjum, Kenneth R. Fleischmann, Margrit Betke, Chongyan Chen, Nitin Verma, Mehrnoosh Sameki and Chi Lin and has published in prestigious journals such as IEEE Transactions on Image Processing, Lecture notes in computer science and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Danna Gurari

38 papers receiving 592 citations

Peers

Danna Gurari
Greg L. Nelson United States
Shiry Ginosar United States
Cagatay Goncu Australia
Deokgun Park United States
Željko Obrenović Netherlands
Vikas Ashok United States
Ting-Hao Huang United States
Syed Masum Billah United States
Steve Oney United States
Yevgen Borodin United States
Greg L. Nelson United States
Danna Gurari
Citations per year, relative to Danna Gurari Danna Gurari (= 1×) peers Greg L. Nelson

Countries citing papers authored by Danna Gurari

Since Specialization
Citations

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

Fields of papers citing papers by Danna Gurari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danna Gurari

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

All Works

20 of 20 papers shown
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Stangl, Abigale, et al.. (2024). Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy Management. 1–19. 4 indexed citations
3.
Ghadiyaram, Deepti, et al.. (2023). Helping Visually Impaired People Take Better Quality Pictures. IEEE Transactions on Image Processing. 32. 3873–3884. 5 indexed citations
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Gurari, Danna, et al.. (2023). Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 33. 249–258.
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Chen, Chongyan, Samreen Anjum, & Danna Gurari. (2023). VQA Therapy: Exploring Answer Differences by Visually Grounding Answers. 15269–15279. 3 indexed citations
8.
Stangl, Abigale, Nathan Davis, Bo Xie, et al.. (2022). Privacy Concerns for Visual Assistance Technologies. ACM Transactions on Accessible Computing. 15(2). 1–43. 17 indexed citations
9.
Chen, Chongyan, Samreen Anjum, & Danna Gurari. (2022). Grounding Answers for Visual Questions Asked by Visually Impaired People. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19076–19085. 29 indexed citations
10.
Anjum, Samreen, et al.. (2022). VizWiz grand challenge workshop at CVPR 2022. ACM SIGACCESS Accessibility and Computing. 1–1. 4 indexed citations
11.
Anjum, Samreen, et al.. (2021). Exploring the Use of Deep Learning with Crowdsourcing to Annotate Images. 8(2). 76–106. 6 indexed citations
12.
Anjum, Samreen, Chi Lin, & Danna Gurari. (2021). CrowdMOT. Proceedings of the ACM on Human-Computer Interaction. 4(CSCW3). 1–25. 4 indexed citations
13.
Bailey, Jakki O., Barkha P. Patel, & Danna Gurari. (2021). A Perspective on Building Ethical Datasets for Children's Conversational Agents. Frontiers in Artificial Intelligence. 4. 637532–637532. 5 indexed citations
14.
Gurari, Danna, et al.. (2020). "I Hope This Is Helpful". Proceedings of the ACM on Human-Computer Interaction. 4(CSCW2). 1–26. 17 indexed citations
15.
Davis, Nathan, Bo Xie, & Danna Gurari. (2020). Quality of images showing medication packaging from individuals with vision impairments: Implications for the design of visual question answering applications. Proceedings of the Association for Information Science and Technology. 57(1). 2 indexed citations
16.
Sameki, Mehrnoosh, et al.. (2017). Crowd-O-Meter: Predicting if a Person Is Vulnerable to Believe Political Claims. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 5. 157–166. 5 indexed citations
17.
Gurari, Danna, Mehrnoosh Sameki, & Margrit Betke. (2016). Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 4. 59–68. 9 indexed citations
18.
Gurari, Danna, Suyog Dutt Jain, Margrit Betke, & Kristen Grauman. (2016). Pull the Plug? Predicting If Computers or Humans Should Segment Images. 53. 382–391. 15 indexed citations
19.
Gurari, Danna, Mehrnoosh Sameki, Brett C. Isenberg, et al.. (2015). How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms. 1169–1176. 42 indexed citations
20.
Wu, Zheng, Danna Gurari, Joyce Wong, & Margrit Betke. (2012). Hierarchical Partial Matching and Segmentation of Interacting Cells. Lecture notes in computer science. 15(Pt 1). 389–396. 14 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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