Mahdi Pakdaman Naeini

About

Mahdi Pakdaman Naeini is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Mahdi Pakdaman Naeini has authored 11 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Control and Systems Engineering. Recurrent topics in Mahdi Pakdaman Naeini’s work include Machine Learning and Data Classification (5 papers), Bayesian Modeling and Causal Inference (2 papers) and Advanced Statistical Methods and Models (2 papers). Mahdi Pakdaman Naeini is often cited by papers focused on Machine Learning and Data Classification (5 papers), Bayesian Modeling and Causal Inference (2 papers) and Advanced Statistical Methods and Models (2 papers). Mahdi Pakdaman Naeini collaborates with scholars based in United States, Iran and France. Mahdi Pakdaman Naeini's co-authors include Miloš Hauskrecht, Gregory F. Cooper, Azadeh Shakery, Michael Brudno, Michael Glueck, Azam Khan, Daniel Wigdor, Finale Doshi‐Velez, Fanny Chevalier and Babak Nadjar Araabi and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Visualization and Computer Graphics and Knowledge and Information Systems.

In The Last Decade

Co-authorship network of co-authors of Mahdi Pakdaman Naeini i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Mahdi Pakdaman Naeini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahdi Pakdaman Naeini. 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 Mahdi Pakdaman Naeini. The network helps show where Mahdi Pakdaman Naeini may publish in the future.

Countries citing papers authored by Mahdi Pakdaman Naeini

Since Specialization

Citations

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