Damian Mrowca

455 total citations
2 papers, 47 citations indexed

About

Damian Mrowca is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Damian Mrowca has authored 2 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Media Technology. Recurrent topics in Damian Mrowca's work include Advanced Image and Video Retrieval Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Damian Mrowca is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Damian Mrowca collaborates with scholars based in United States. Damian Mrowca's co-authors include Daniel Yamins, Chengxu Zhuang, Li Fei-Fei, Nick Haber, Joshua B. Tenenbaum, Ronghang Hu, Marcus Rohrbach, Trevor Darrell, Judy Hoffman and Kate Saenko and has published in prestigious journals such as DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Damian Mrowca

2 papers receiving 46 citations

Peers

Damian Mrowca

CVPR

AI

CM

CSE

SNP

Yaroslav Ganin Canada

Eder Santana United States

C. Chi Taiwan

Daniel Soukup Austria

Martin Engelcke United Kingdom

Sudeep Pillai United States

Robin Strudel France

Ajay Jain United States

Tsung-Wei Ke United States

Hongzhou Lin United States

Yaroslav Ganin Canada

Damian Mrowca

34 ×1.5

CVPR

32 ×2.1

AI

14 ×1.1

CM

6 ×0.8

CSE

0 ×0.0

SNP

Citations per year, relative to Damian Mrowca Damian Mrowca (= 1×) peers Yaroslav Ganin

Countries citing papers authored by Damian Mrowca

Since Specialization

Citations

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

Fields of papers citing papers by Damian Mrowca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Mrowca

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

All Works

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2 of 2 papers shown

1.

Mrowca, Damian, Chengxu Zhuang, Nick Haber, et al.. (2018). Flexible neural representation for physics prediction. DSpace@MIT (Massachusetts Institute of Technology). 31. 8799–8810. 35 indexed citations

2.

Mrowca, Damian, Marcus Rohrbach, Judy Hoffman, et al.. (2015). Spatial Semantic Regularisation for Large Scale Object Detection. 2003–2011. 12 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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