Kapil Ahuja

About

Kapil Ahuja is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Kapil Ahuja has authored 30 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Theory and Mathematics. Recurrent topics in Kapil Ahuja’s work include Matrix Theory and Algorithms (6 papers), Model Reduction and Neural Networks (6 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). Kapil Ahuja is often cited by papers focused on Matrix Theory and Algorithms (6 papers), Model Reduction and Neural Networks (6 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). Kapil Ahuja collaborates with scholars based in India, Germany and United States. Kapil Ahuja's co-authors include Eric de Sturler, Aruna Tiwari, Chandan Gautam, Rohit Agrawal, Serkan Gugercin, Akash Kumar, Suresh Sundaram, Peter Benner, Layne T. Watson and Stephen C. Billups and has published in prestigious journals such as Journal of Computational Physics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Kapil Ahuja i

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Fields of papers citing papers by Kapil Ahuja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kapil Ahuja

Since Specialization

Citations

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