M. Usha

36 total papers · 499 total citations
27 papers, 395 citations indexed

About

M. Usha is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, M. Usha has authored 27 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics, Probability and Uncertainty, 12 papers in Management Science and Operations Research and 12 papers in Statistics and Probability. Recurrent topics in M. Usha's work include Advanced Statistical Process Monitoring (21 papers), Optimal Experimental Design Methods (12 papers) and Statistical Distribution Estimation and Applications (10 papers). M. Usha is often cited by papers focused on Advanced Statistical Process Monitoring (21 papers), Optimal Experimental Design Methods (12 papers) and Statistical Distribution Estimation and Applications (10 papers). M. Usha collaborates with scholars based in India, United States and Netherlands. M. Usha's co-authors include S. Balamurali, P. Jeyadurga and M. Venkatesulu and has published in prestigious journals such as Journal of the Operational Research Society, The International Journal of Advanced Manufacturing Technology and International Journal of Quality & Reliability Management.

In The Last Decade

M. Usha

27 papers receiving 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. Usha	308	153	147	136	60	27	395
Ali Yeganeh	286 0.9×	152 1.0×	48 0.3×	40 0.3×	4 0.1×	37	411
Kais Zaman	257 0.8×	32 0.2×	125 0.9×	27 0.2×	24 0.4×	22	358
Souvik Das	84 0.3×	69 0.5×	158 1.1×	15 0.1×	26 0.4×	30	413
Kyungmee O. Kim	187 0.6×	80 0.5×	54 0.4×	46 0.3×	255 4.3×	30	420
Junjie Wang	58 0.2×	42 0.3×	228 1.6×	11 0.1×	4 0.1×	32	399
Nima Gorjian	83 0.3×	37 0.2×	19 0.1×	14 0.1×	162 2.7×	30	381
J Wang	204 0.7×	11 0.1×	114 0.8×	61 0.4×	58 1.0×	25	411
A. W. Wortham	190 0.6×	102 0.7×	124 0.8×	78 0.6×	39 0.7×	20	340
María Luz Gámiz	61 0.2×	106 0.7×	34 0.2×	3 0.0×	73 1.2×	38	332
Wei Li	210 0.7×	94 0.6×	22 0.1×	12 0.1×	340 5.7×	19	414

Countries citing papers authored by M. Usha

Since Specialization

Citations

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

Fields of papers citing papers by M. Usha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Usha

This figure shows the co-authorship network connecting the top 25 collaborators of M. Usha. A scholar is included among the top collaborators of M. Usha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Usha. M. Usha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact