G. K. Shukla

18 papers and 1000 indexed citations i.

About

G. K. Shukla is a scholar working on Statistics and Probability, Management Science and Operations Research and Plant Science. According to data from OpenAlex, G. K. Shukla has authored 18 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 3 papers in Management Science and Operations Research and 2 papers in Plant Science. Recurrent topics in G. K. Shukla’s work include Advanced Statistical Methods and Models (4 papers), Statistical Methods and Inference (4 papers) and Optimal Experimental Design Methods (3 papers). G. K. Shukla is often cited by papers focused on Advanced Statistical Methods and Models (4 papers), Statistical Methods and Inference (4 papers) and Optimal Experimental Design Methods (3 papers). G. K. Shukla collaborates with scholars based in India, United Kingdom and United States. G. K. Shukla's co-authors include Paramjit Gill, Madhusudan Karmakar, Arunabha Mukhopadhyay, Samir Chatterjee, Kallol Bagchi, P. S. Datta, A.K. Mallik and Deepak Singh and has published in prestigious journals such as Technometrics, Biometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of G. K. Shukla i

Fields of papers citing papers by G. K. Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. K. Shukla

Since Specialization
Citations

This map shows the geographic impact of G. K. Shukla'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 G. K. Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. K. Shukla 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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2025