ACM Transactions on Interactive Intelligent SystemsUnited States
ACM Transactions on Management Information SystemsUnited States
Big Data Mining and AnalyticsChina
Applied Computing and InformaticsIndia
Swarm IntelligenceUnited Kingdom
International Journal of Information Management Data InsightsIndia
Journal of Internet Services and ApplicationsBrazil
IEEE Cloud ComputingUnited States
ACM Transactions on Information and System SecurityUnited States
Human-centric Computing and Information Sciencesrelative toBig DataUnited StatesBig Data's profile →
Citations per field
00.5×2×3×3.8×
Big Data · 1×
×3.83k/849CNC
×1.83k/2kIS
×2.01k/575SP
×2.92k/630CVPR
×2.4482/200HI
Citations per year
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
'26
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).
Fields of papers published in Human-centric Computing and Information 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.
About Human-centric Computing and Information Sciences
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.