K. Pattabiraman

About

K. Pattabiraman is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Organic Chemistry. According to data from OpenAlex, K. Pattabiraman has authored 37 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computational Theory and Mathematics, 35 papers in Geometry and Topology and 15 papers in Organic Chemistry. Recurrent topics in K. Pattabiraman’s work include Graph theory and applications (35 papers), Computational Drug Discovery Methods (20 papers) and Graph Labeling and Dimension Problems (17 papers). K. Pattabiraman is often cited by papers focused on Graph theory and applications (35 papers), Computational Drug Discovery Methods (20 papers) and Graph Labeling and Dimension Problems (17 papers). K. Pattabiraman collaborates with scholars based in India, Pakistan and Saudi Arabia. K. Pattabiraman's co-authors include P. Paulraja, Muhammad Kamran Siddiqui, Lei Huang, Muhammad Usman Ghani, Abishek B. Santhakumar, Murat Cancan, Mohamad Nazri Husin, Hanen Karamti, Muhammad Imran and Sudharsan Sadhasivam and has published in prestigious journals such as Chemometrics and Intelligent Laboratory Systems, International Journal of Quantum Chemistry and Heliyon.

In The Last Decade

Co-authorship network of co-authors of K. Pattabiraman i

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Fields of papers citing papers by K. Pattabiraman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by K. Pattabiraman

Since Specialization

Citations

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