Vahid Partovi Nia

32 papers and 277 indexed citations i.

About

Vahid Partovi Nia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Vahid Partovi Nia has authored 32 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Vahid Partovi Nia’s work include Bayesian Methods and Mixture Models (4 papers), Advanced Neural Network Applications (4 papers) and Neural Networks and Applications (4 papers). Vahid Partovi Nia is often cited by papers focused on Bayesian Methods and Mixture Models (4 papers), Advanced Neural Network Applications (4 papers) and Neural Networks and Applications (4 papers). Vahid Partovi Nia collaborates with scholars based in Canada, Sweden and Iran. Vahid Partovi Nia's co-authors include A. C. Davison, Bruno Agard, Abbas Ali Khodadadi, Geert Verbeke, Mohammad Sajjad Ghaemi, Martin Trépanier, Martine Trévisan, Nicolas Schauer, Gaëlle Messerli and Anna Kolbe and has published in prestigious journals such as Environmental Science & Technology, PLANT PHYSIOLOGY and International Journal of Production Economics.

In The Last Decade

Co-authorship network of co-authors of Vahid Partovi Nia i

Fields of papers citing papers by Vahid Partovi Nia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vahid Partovi Nia. 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 Vahid Partovi Nia. The network helps show where Vahid Partovi Nia may publish in the future.

Countries citing papers authored by Vahid Partovi Nia

Since Specialization
Citations

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