Mojan Javaheripi

About

Mojan Javaheripi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Mojan Javaheripi has authored 20 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Mojan Javaheripi’s work include Advanced Neural Network Applications (8 papers), Adversarial Robustness in Machine Learning (7 papers) and Machine Learning and Data Classification (4 papers). Mojan Javaheripi is often cited by papers focused on Advanced Neural Network Applications (8 papers), Adversarial Robustness in Machine Learning (7 papers) and Machine Learning and Data Classification (4 papers). Mojan Javaheripi collaborates with scholars based in United States, Kazakhstan and Dominican Republic. Mojan Javaheripi's co-authors include Farinaz Koushanfar, Mohammad Samragh, Tara Javidi, Nicole N. Hashemi, Bita Darvish Rouhani, Reza Montazami, Tajana Rosing, Mohsen Imani, Ryan Kastner and Paarth Neekhara and has published in prestigious journals such as Biosensors and Bioelectronics, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Co-authorship network of co-authors of Mojan Javaheripi i

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Fields of papers citing papers by Mojan Javaheripi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mojan Javaheripi

Since Specialization

Citations

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