Christine Piatko

35 papers and 4.1k indexed citations i.

About

Christine Piatko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Christine Piatko has authored 35 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Christine Piatko’s work include Data Management and Algorithms (7 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Christine Piatko is often cited by papers focused on Data Management and Algorithms (7 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Christine Piatko collaborates with scholars based in United States and Israel. Christine Piatko's co-authors include Nathan S. Netanyahu, Ruth Silverman, David M. Mount, Angela Y. Wu, Tapas Kanungo, Holly Rushmeier, Gregory Ward Larson, James Mayfield, Paul McNamee and Bernice E. Rogowitz and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Christine Piatko i

Fields of papers citing papers by Christine Piatko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christine Piatko

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025