Arvind K. Saibaba

About

Arvind K. Saibaba is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Arvind K. Saibaba has authored 45 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 13 papers in Computational Theory and Mathematics and 9 papers in Artificial Intelligence. Recurrent topics in Arvind K. Saibaba’s work include Sparse and Compressive Sensing Techniques (10 papers), Matrix Theory and Algorithms (9 papers) and Probabilistic and Robust Engineering Design (9 papers). Arvind K. Saibaba is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Matrix Theory and Algorithms (9 papers) and Probabilistic and Robust Engineering Design (9 papers). Arvind K. Saibaba collaborates with scholars based in United States, United Kingdom and Croatia. Arvind K. Saibaba's co-authors include Peter K. Kitanidis, Alen Alexanderian, Misha E. Kilmer, Julianne Chung, Zlatko Drmač, Ilse C. F. Ipsen, Jonghyun Lee, Shuchin Aeron, Scot M. Miller and Eric Darve and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Water Resources Research.

In The Last Decade

Co-authorship network of co-authors of Arvind K. Saibaba i

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Fields of papers citing papers by Arvind K. Saibaba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind K. Saibaba. 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 Arvind K. Saibaba. The network helps show where Arvind K. Saibaba may publish in the future.

Countries citing papers authored by Arvind K. Saibaba

Since Specialization

Citations

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