Applied System Innovation

580 papers and 5.0k indexed citations i.

About

The 580 papers published in Applied System Innovation in the last decades have received a total of 5.0k indexed citations. Papers published in Applied System Innovation usually cover Electrical and Electronic Engineering (106 papers), Artificial Intelligence (67 papers) and Industrial and Manufacturing Engineering (67 papers) specifically the topics of Digital Transformation in Industry (36 papers), Big Data and Business Intelligence (16 papers) and Manufacturing Process and Optimization (15 papers). The most active scholars publishing in Applied System Innovation are Grigorios Koulouras, Dionisis Kandris, Christos T. Nakas, Dimitrios Vomvas, M.N.M. Ansari, Niall Murray, Eoin P. Hinchy, Maulshree Singh, Declan M. Devine and Evert Fuenmayor.

In The Last Decade

Fields of papers published in Applied System Innovation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Applied System Innovation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Applied System Innovation.

Countries where authors publish in Applied System Innovation

Since Specialization
Citations

This map shows the geographic impact of research published in Applied System Innovation. 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 papers published in Applied System Innovation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Applied System Innovation 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