Recent Patents on Computer Science

253 papers and 1.6k indexed citations i.

About

The 253 papers published in Recent Patents on Computer Science in the last decades have received a total of 1.6k indexed citations. Papers published in Recent Patents on Computer Science usually cover Artificial Intelligence (56 papers), Computer Vision and Pattern Recognition (37 papers) and Computer Networks and Communications (35 papers) specifically the topics of Image Retrieval and Classification Techniques (8 papers), Artificial Intelligence in Healthcare (8 papers) and Video Surveillance and Tracking Methods (8 papers). The most active scholars publishing in Recent Patents on Computer Science are Thierry Bouwmans, Fida El Baf, Bertrand Vachon, Shireen Elhabian, Khaled Elsayed, Wael Farag, Chih‐Fong Tsai, Chihli Hung, Michele Amoretti and Chiranji Lal Chowdhary.

In The Last Decade

Fields of papers published in Recent Patents on Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Recent Patents on Computer Science. 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 Recent Patents on Computer Science.

Countries where authors publish in Recent Patents on Computer Science

Since Specialization
Citations

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