TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.
- Journal
- Conference on Innovative Data Systems Research
In The Last Decade
doi.org/w8566659 →Countries where authors are citing TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.
This map shows the geographic impact of TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.. 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 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TelegraphCQ: Continuous Dataflow Processing for an Uncertain World. more than expected).
Fields of papers citing TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.
This network shows the impact of TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the TelegraphCQ: Continuous Dataflow Processing for an Uncertain World..
About TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.
This paper, published in 2003, received 649 indexed citations . Written by Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel Madden, Vijayshankar Raman and Frederick Reiss covering the research area of Signal Processing and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (596 citations), Signal Processing (362 citations) and Artificial Intelligence (223 citations). Published in Conference on Innovative Data Systems 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/w8566659.