Babak Teimourpour

22 papers and 152 indexed citations i.

About

Babak Teimourpour is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Babak Teimourpour has authored 22 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 5 papers in Molecular Biology. Recurrent topics in Babak Teimourpour’s work include Complex Network Analysis Techniques (7 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (4 papers). Babak Teimourpour is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (4 papers). Babak Teimourpour collaborates with scholars based in Iran. Babak Teimourpour's co-authors include Mohammad Mehdi Sepehri, Amir Albadvi, Sarvenaz Choobdar, Sayed‐Amir Marashi, Kambiz Heidarzadeh Hanzaee, Hadi Zare, Maryam Zolnoori, Toktam Khatibi, Farshad Farzadfar and Mehdi Ghazanfari and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Babak Teimourpour i

Fields of papers citing papers by Babak Teimourpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Babak Teimourpour

Since Specialization
Citations

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

Rankless by CCL
2025