Proceedings of the American Society for Information Science and Technology · 1×
×0.7968/1kLIS
×1.17k/6kIS
×4.94k/869AI
×1.9301/159GSS
×0.7691/969ISM
Citations per year
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Countries where authors publish in Data Technologies and Applications
Since Specialization
Citations
This map shows the geographic impact of research published in Data Technologies and Applications. 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 Data Technologies and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Data Technologies and Applications more than expected).
Fields of papers published in Data Technologies and Applications
This network shows the impact of papers published in Data Technologies and Applications. 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 Data Technologies and Applications.
About Data Technologies and Applications
The 1.1k papers published in Data Technologies and Applications in the last decades have received a total of 16k indexed citations . Papers published in Data Technologies and Applications usually cover Information Systems (756 papers), Library and Information Sciences (92 papers), Conservation (53 papers), Software (46 papers) and Computer Science Applications (26 papers) specifically the topics of Library Science and Information (465 papers), Library Science and Information Systems (194 papers), Web and Library Services (154 papers), Information Retrieval and Search Behavior (91 papers), Library Science and Information Literacy (64 papers), Library Collection Development and Digital Resources (53 papers), Digital and Traditional Archives Management (53 papers) and Engineering and Information Technology (44 papers). The most active scholars publishing in Data Technologies and Applications are Martin Porter, Peter Willett, Sirje Virkus, Khalid Mahmood, Tao Zhou, Eunil Park, Stephen Mudogo Mutula, Emmanouel Garoufallou, Ki Joon Kim and Zheshi Bao.
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.