Kayvan Sadeghi

14 papers and 148 indexed citations i.

About

Kayvan Sadeghi is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Kayvan Sadeghi has authored 14 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 4 papers in Signal Processing. Recurrent topics in Kayvan Sadeghi’s work include Bayesian Modeling and Causal Inference (12 papers), Data Management and Algorithms (4 papers) and Complex Network Analysis Techniques (3 papers). Kayvan Sadeghi is often cited by papers focused on Bayesian Modeling and Causal Inference (12 papers), Data Management and Algorithms (4 papers) and Complex Network Analysis Techniques (3 papers). Kayvan Sadeghi collaborates with scholars based in United Kingdom, United States and Denmark. Kayvan Sadeghi's co-authors include Steffen L. Lauritzen, Nanny Wermuth, Giovanni M. Marchetti, Alessandro Rinaldo, Shaun Fallat, Piotr Zwiernik, Caroline Uhler, Éva Czabarka, Łászló A. Székely and Johannes Rauh and has published in prestigious journals such as The Annals of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Kayvan Sadeghi i

Fields of papers citing papers by Kayvan Sadeghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kayvan Sadeghi

Since Specialization
Citations

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