Hamid R. Arabnia

123 papers and 2.9k indexed citations i.

About

Hamid R. Arabnia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Hamid R. Arabnia has authored 123 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Hamid R. Arabnia’s work include IoT and Edge/Fog Computing (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Multimodal Machine Learning Applications (9 papers). Hamid R. Arabnia is often cited by papers focused on IoT and Edge/Fog Computing (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Multimodal Machine Learning Applications (9 papers). Hamid R. Arabnia collaborates with scholars based in United States, South Korea and Iran. Hamid R. Arabnia's co-authors include Rabia Jafri, Khaled Rasheed, Suchendra M. Bhandarkar, Miquel Oliver, Mohammadreza Iman, Abolfazl Farahani, Vimala Balakrishnan, Seyedamin Pouriyeh, M. Arif Wani and Himanshu Thapliyal and has published in prestigious journals such as Personality and Individual Differences, BMC Bioinformatics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Hamid R. Arabnia i

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Fields of papers citing papers by Hamid R. Arabnia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamid R. Arabnia. 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 Hamid R. Arabnia. The network helps show where Hamid R. Arabnia may publish in the future.

Countries citing papers authored by Hamid R. Arabnia

Since Specialization

Citations

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