Nima Taghipour

10 papers and 90 indexed citations i.

About

Nima Taghipour is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Nima Taghipour has authored 10 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 2 papers in Materials Chemistry. Recurrent topics in Nima Taghipour’s work include Bayesian Modeling and Causal Inference (5 papers), Machine Learning and Algorithms (4 papers) and Recommender Systems and Techniques (2 papers). Nima Taghipour is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Machine Learning and Algorithms (4 papers) and Recommender Systems and Techniques (2 papers). Nima Taghipour collaborates with scholars based in Belgium, Spain and Denmark. Nima Taghipour's co-authors include Jesse Davis, Guy Van den Broeck, Luc De Raedt, Wannes Meert, Daan Fierens, Hendrik Blockeel, Ramesh M. Gowda, Hao Wu, Gerasimos Konstantatos and Lucheng Peng and has published in prestigious journals such as Advanced Materials, PubMed and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Nima Taghipour i

Fields of papers citing papers by Nima Taghipour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nima Taghipour

Since Specialization
Citations

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