Proceedings of the 17th ACM conference on Information and knowledge management
- Authors
- James G. ShanahanSihem Amer-YahiaIoana ManolescuYi ZhangDavid A. Evans
In The Last Decade
doi.org/w8736054 →Countries where authors are citing Proceedings of the 17th ACM conference on Information and knowledge management
This map shows the geographic impact of Proceedings of the 17th ACM conference on Information and knowledge management. 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 Proceedings of the 17th ACM conference on Information and knowledge management with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Proceedings of the 17th ACM conference on Information and knowledge management more than expected).
Fields of papers citing Proceedings of the 17th ACM conference on Information and knowledge management
This network shows the impact of Proceedings of the 17th ACM conference on Information and knowledge management. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Proceedings of the 17th ACM conference on Information and knowledge management.
About Proceedings of the 17th ACM conference on Information and knowledge management
This paper, published in 2008, received 368 indexed citations . Written by James G. Shanahan, Sihem Amer-Yahia, Ioana Manolescu, Yi Zhang, David A. Evans and Key‐Sun Choi covering the research area of Computer Networks and Communications, Information Systems and Signal Processing. It is primarily cited by scholars working on Artificial Intelligence (234 citations), Information Systems (163 citations) and Statistical and Nonlinear Physics (58 citations).
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/w8736054.