Event processing in action
Impact in
Classified as
- Authors
- Opher EtzionPeter Niblett
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w62899338 →Countries where authors are citing Event processing in action
This map shows the geographic impact of Event processing in action. 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 Event processing in action with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Event processing in action more than expected).
Fields of papers citing Event processing in action
This network shows the impact of Event processing in action. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Event processing in action.
About Event processing in action
This paper, published in 2011, received 351 indexed citations . Written by Opher Etzion and Peter Niblett covering the research area of Information Systems and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (211 citations), Information Systems (131 citations), Artificial Intelligence (125 citations), Signal Processing (87 citations) and Management Information Systems (74 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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/w62899338.