M. E. Mead

11 total papers · 443 total citations
11 papers, 325 citations indexed

About

M. E. Mead is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, M. E. Mead has authored 11 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 5 papers in Statistics, Probability and Uncertainty and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in M. E. Mead's work include Statistical Distribution Estimation and Applications (10 papers), Probabilistic and Robust Engineering Design (5 papers) and Reliability and Maintenance Optimization (3 papers). M. E. Mead is often cited by papers focused on Statistical Distribution Estimation and Applications (10 papers), Probabilistic and Robust Engineering Design (5 papers) and Reliability and Maintenance Optimization (3 papers). M. E. Mead collaborates with scholars based in Egypt, United States and Saudi Arabia. M. E. Mead's co-authors include Ayman Alzaatreh, Mazen Nassar, Osama E. Abo-Kasem, Ahmed Z. Afify, G. G. Hamedani, R.R. Shoults, Indranil Ghosh, Muhammad Mansoor and Nadeem Shafique Butt and has published in prestigious journals such as Communication in Statistics- Theory and Methods, IEEE Transactions on Power Apparatus and Systems and Annals of Data Science.

In The Last Decade

M. E. Mead

11 papers receiving 301 citations

Author Peers

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

Author						Papers	Cites
M. E. Mead	271	166	73	61	40	11	325
Pali Sen	222 0.8×	147 0.9×	51 0.7×	30 0.5×	28 0.7×	14	348
A. H. El-Bassiouny	247 0.9×	145 0.9×	66 0.9×	48 0.8×	30 0.8×	23	287
Abd EL-Baset A. Ahmad	277 1.0×	218 1.3×	75 1.0×	62 1.0×	35 0.9×	20	308
Ali A. Al-Shomrani	304 1.1×	184 1.1×	73 1.0×	48 0.8×	54 1.4×	21	350
Jalmar M. F. Carrasco	316 1.2×	211 1.3×	66 0.9×	81 1.3×	23 0.6×	14	360
Said G. Nassr	338 1.2×	197 1.2×	39 0.5×	95 1.6×	27 0.7×	32	359
Pedro Rafael Diniz Marinho	280 1.0×	164 1.0×	91 1.2×	23 0.4×	32 0.8×	17	334
Catherine Huber‐Carol	215 0.8×	117 0.7×	13 0.2×	96 1.6×	27 0.7×	6	353
Manoel Santos‐Neto	264 1.0×	101 0.6×	43 0.6×	19 0.3×	51 1.3×	21	326
Gianna Agrò	189 0.7×	99 0.6×	20 0.3×	16 0.3×	45 1.1×	13	333

Countries citing papers authored by M. E. Mead

Since Specialization

Citations

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

Fields of papers citing papers by M. E. Mead

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. E. Mead

This figure shows the co-authorship network connecting the top 25 collaborators of M. E. Mead. A scholar is included among the top collaborators of M. E. Mead 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. E. Mead. M. E. Mead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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