Mercede Maj

69 papers and 408 indexed citations i.

About

Mercede Maj is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mercede Maj has authored 69 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Discrete Mathematics and Combinatorics, 28 papers in Artificial Intelligence and 27 papers in Electrical and Electronic Engineering. Recurrent topics in Mercede Maj’s work include Finite Group Theory Research (55 papers), Coding theory and cryptography (28 papers) and graph theory and CDMA systems (27 papers). Mercede Maj is often cited by papers focused on Finite Group Theory Research (55 papers), Coding theory and cryptography (28 papers) and graph theory and CDMA systems (27 papers). Mercede Maj collaborates with scholars based in Italy, Israel and United States. Mercede Maj's co-authors include Patrizia Longobardi, Marcel Herzog, A. H. Rhemtulla, Derek J. S. Robinson, S. E. Stonehewer, Gregory A. Freiman, Avinoam Mann, Leonid A. Kurdachenko, Wolfgang Herfort and Zvi Arad and has published in prestigious journals such as Transactions of the American Mathematical Society, Proceedings of the American Mathematical Society and Journal of Algebra.

In The Last Decade

Co-authorship network of co-authors of Mercede Maj i

Fields of papers citing papers by Mercede Maj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mercede Maj

Since Specialization
Citations

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