FRESCO: Modular Composable Security Services for Software-Defined Networks
- Journal
- Network and Distributed System Security Symposium
In The Last Decade
doi.org/w4669518 →Countries where authors are citing FRESCO: Modular Composable Security Services for Software-Defined Networks
This map shows the geographic impact of FRESCO: Modular Composable Security Services for Software-Defined Networks. 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 FRESCO: Modular Composable Security Services for Software-Defined Networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites FRESCO: Modular Composable Security Services for Software-Defined Networks more than expected).
Fields of papers citing FRESCO: Modular Composable Security Services for Software-Defined Networks
This network shows the impact of FRESCO: Modular Composable Security Services for Software-Defined Networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the FRESCO: Modular Composable Security Services for Software-Defined Networks.
About FRESCO: Modular Composable Security Services for Software-Defined Networks
This paper, published in 2013, received 374 indexed citations . Written by Seungwon Shin, Phillip Porras, Martin Fong, Guofei Gu and Mabry Tyson covering the research area of Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (367 citations), Artificial Intelligence (158 citations), Signal Processing (48 citations), Electrical and Electronic Engineering (46 citations) and Information Systems (31 citations). Published in Network and Distributed System Security Symposium.
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.
This paper is also available at doi.org/w4669518.