New Generation Computing

844 papers and 8.6k indexed citations
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About

The 844 papers published in New Generation Computing in the last decades have received a total of 8.6k indexed citations. Papers published in New Generation Computing usually cover Artificial Intelligence (540 papers), Computational Theory and Mathematics (217 papers) and Computer Networks and Communications (160 papers) specifically the topics of Logic, programming, and type systems (174 papers), Logic, Reasoning, and Knowledge (143 papers) and Formal Methods in Verification (99 papers). The most active scholars publishing in New Generation Computing are Stephen Muggleton, Michael Gelfond, Vladimir Lifschitz, Riichiro Mizoguchi, Teodor C. Przymusiński, Geraínt A. Wiggins, Andrei Păun, Gheorghe Pǎun, Stanley J. Rosenschein and David Poole.

In The Last Decade

New Generation Computing

721 papers receiving 7.6k citations

Fields of papers published in New Generation Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in New Generation Computing. 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 New Generation Computing.

Countries where authors publish in New Generation Computing

Since Specialization
Citations

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