S. Noto La Diega

26 papers and 259 indexed citations i.

About

S. Noto La Diega is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Management Science and Operations Research. According to data from OpenAlex, S. Noto La Diega has authored 26 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Industrial and Manufacturing Engineering, 8 papers in Mechanical Engineering and 6 papers in Management Science and Operations Research. Recurrent topics in S. Noto La Diega’s work include Scheduling and Optimization Algorithms (10 papers), Manufacturing Process and Optimization (9 papers) and Advanced machining processes and optimization (5 papers). S. Noto La Diega is often cited by papers focused on Scheduling and Optimization Algorithms (10 papers), Manufacturing Process and Optimization (9 papers) and Advanced machining processes and optimization (5 papers). S. Noto La Diega collaborates with scholars based in Italy and Germany. S. Noto La Diega's co-authors include Giovanni Perrone, Manfredi Bruccoleri, Giovanna Lo Nigro, Umberto La Commare, Paolo Renna, Erica Mazzola, F. Micari and M. Piacentini and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and Journal of Materials Processing Technology.

In The Last Decade

Co-authorship network of co-authors of S. Noto La Diega i

Fields of papers citing papers by S. Noto La Diega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Noto La Diega. 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 S. Noto La Diega. The network helps show where S. Noto La Diega may publish in the future.

Countries citing papers authored by S. Noto La Diega

Since Specialization
Citations

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