Amit Saxena

About

Amit Saxena is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Amit Saxena has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Amit Saxena’s work include Face and Expression Recognition (10 papers), Neural Networks and Applications (4 papers) and Advanced Clustering Algorithms Research (4 papers). Amit Saxena is often cited by papers focused on Face and Expression Recognition (10 papers), Neural Networks and Applications (4 papers) and Advanced Clustering Algorithms Research (4 papers). Amit Saxena collaborates with scholars based in India, Australia and United States. Amit Saxena's co-authors include Min Sun, A.Y. Ng, Mukesh Prasad, Chin‐Teng Lin, Om Prakash Patel, Aruna Tiwari, Akshansh Gupta, Neha Bharill, Meng Joo Er and Weiping Ding and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Amit Saxena i

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Fields of papers citing papers by Amit Saxena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amit Saxena

Since Specialization

Citations

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