Mobile Information Systems

2.8k papers and 15.7k indexed citations

About

The 2.8k papers published in Mobile Information Systems in the last decades have received a total of 15.7k indexed citations. Papers published in Mobile Information Systems usually cover Computer Networks and Communications (803 papers), Artificial Intelligence (715 papers) and Electrical and Electronic Engineering (592 papers) specifically the topics of IoT and Edge/Fog Computing (201 papers), Advanced Technologies in Various Fields (172 papers) and AI and Big Data Applications (164 papers). The most active scholars publishing in Mobile Information Systems are Shah Nazir, Leonard Barolli, Amin Ul Haq, Jianping Li, Muhammad Hammad Memon, Filip Malý, Fatos Xhafa, David Taniar, Maytham Safar and Haoran Xia.

In The Last Decade

Mobile Information Systems

2.3k papers receiving 14.1k citations

Fields of papers published in Mobile Information Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mobile Information Systems. 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 Mobile Information Systems.

Countries where authors publish in Mobile Information Systems

Since Specialization
Citations

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