Mahmoud Khademi

14 papers and 251 indexed citations i.

About

Mahmoud Khademi is a scholar working on Computer Vision and Pattern Recognition, Physical and Theoretical Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Mahmoud Khademi has authored 14 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Physical and Theoretical Chemistry and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Mahmoud Khademi’s work include Electrostatics and Colloid Interactions (3 papers), Multimodal Machine Learning Applications (2 papers) and Image Retrieval and Classification Techniques (2 papers). Mahmoud Khademi is often cited by papers focused on Electrostatics and Colloid Interactions (3 papers), Multimodal Machine Learning Applications (2 papers) and Image Retrieval and Classification Techniques (2 papers). Mahmoud Khademi collaborates with scholars based in Canada, Iran and United States. Mahmoud Khademi's co-authors include Dominik P. J. Barz, Oliver Schulte, Asghar Molaei Dehkordi, Louis‐Philippe Morency, Mehrsan Javan, Mohammad Taghi Manzuri, Aristides Docoslis, Takuya Yoshioka, Yu Shi and Michael Zeng and has published in prestigious journals such as Langmuir, Microporous and Mesoporous Materials and Electrophoresis.

In The Last Decade

Co-authorship network of co-authors of Mahmoud Khademi i

Fields of papers citing papers by Mahmoud Khademi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahmoud Khademi

Since Specialization
Citations

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