Michael Cogswell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems.
According to data from OpenAlex, Michael Cogswell has authored 11 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Michael Cogswell's work include Multimodal Machine Learning Applications (7 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Michael Cogswell is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Michael Cogswell collaborates with scholars based in United States and Israel. Michael Cogswell's co-authors include Dhruv Batra, Ramprasaath R. Selvaraju, Ramakrishna Vedantam, Devi Parikh, Abhishek Das, Stefan Lee, David Crandall, Qing Sun, Stephen H. Edwards and Ajay Divakaran and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
In The Last Decade
Michael Cogswell
11 papers
receiving
12.3k citations
Hit Papers
What are hit papers?
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.
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
201712.3k citationsRamprasaath R. Selvaraju, Michael Cogswell et al.profile →
Countries citing papers authored by Michael Cogswell
Since
Specialization
Citations
This map shows the geographic impact of Michael Cogswell'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 Michael Cogswell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Cogswell more than expected).
Fields of papers citing papers by Michael Cogswell
This network shows the impact of papers produced by Michael Cogswell. 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 Michael Cogswell. The network helps show where Michael Cogswell may publish in the future.
Co-authorship network of co-authors of Michael Cogswell
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Cogswell.
A scholar is included among the top collaborators of Michael Cogswell 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 Michael Cogswell. Michael Cogswell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.