Human-centric Computing and Information Sciences

300 papers and 7.7k indexed citations i.

About

The 300 papers published in Human-centric Computing and Information Sciences in the last decades have received a total of 7.7k indexed citations. Papers published in Human-centric Computing and Information Sciences usually cover Computer Networks and Communications (87 papers), Artificial Intelligence (79 papers) and Information Systems (78 papers) specifically the topics of IoT and Edge/Fog Computing (28 papers), Context-Aware Activity Recognition Systems (20 papers) and Privacy-Preserving Technologies in Data (18 papers). The most active scholars publishing in Human-centric Computing and Information Sciences are D. K. Lobiyal, Alireza Souri, Rahil Hosseini, Amir Masoud Rahmani, Jong Hyuk Park, Buddha Singh, Jun‐Ho Huh, Jungho Kang, Elijah Blessing Rajsingh and Sang‐Woon Kim.

In The Last Decade

Fields of papers published in Human-centric Computing and Information Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Human-centric Computing and Information Sciences. 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 Human-centric Computing and Information Sciences.

Countries where authors publish in Human-centric Computing and Information Sciences

Since Specialization
Citations

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