Natalie Parde

28 papers and 152 indexed citations i.

About

Natalie Parde is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Natalie Parde has authored 28 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Social Psychology. Recurrent topics in Natalie Parde’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (4 papers). Natalie Parde is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (4 papers). Natalie Parde collaborates with scholars based in United States, Canada and Greece. Natalie Parde's co-authors include Rodney D. Nielsen, Mary A. Khetani, Konstantinos Tsiakas, Andrew D. Boyd, Vangelis Karkaletsis, Michalis Papakostas, Cornelia Caragea, Toan Nguyen, Julia Schmidt and Liisa Holsti and has published in prestigious journals such as Archives of Physical Medicine and Rehabilitation, Journal of Medical Internet Research and Journal of Psychiatric Research.

In The Last Decade

Co-authorship network of co-authors of Natalie Parde i

Fields of papers citing papers by Natalie Parde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Natalie Parde

Since Specialization
Citations

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

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2025