Ken Smith
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Astronomy and Astrophysics top 10%
- Astro and Planetary Science
Papers in
-
- Semantic Web and Ontologies 7
- Privacy-Preserving Technologies in Data 2
- Cryptography and Data Security 2
-
- Research Data Management Practices 3
- Web Data Mining and Analysis 2
- Co-authors
- Hanan Samet (1 shared paper)Len Seligman (8 shared papers)Leo Obrst (1 shared paper)Peter Mork (7 shared papers)Phillip B. Dawson (1 shared paper)Glenn P. Biasi (1 shared paper)Andrew M. Pitt (1 shared paper)David P. Hill (1 shared paper)
- Journals
- Journal of Intelligent Information Systems (1 paper)ACM SIGMOD Record (1 paper)Journal of Geophysical Research Atmospheres (1 paper)Computer (1 paper)Science (1 paper)
- Partner nations
- United States
In The Last Decade
Ken Smith
20 papers receiving 530 citations
Peers
Comparison fields: 5 of 55
- Signal Processing 122
- Astronomy and Astrophysics 198
- Geophysics 59
- Artificial Intelligence 90
- Computer Networks and Communications 53
Countries citing papers authored by Ken Smith
This map shows the geographic impact of Ken Smith's research. 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 Ken Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Smith more than expected).
Fields of papers citing papers by Ken Smith
This network shows the impact of papers produced by Ken Smith. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ken Smith. The network helps show where Ken Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 208 | |
| 2 | 2003 | 134 | |
| 3 | 2010 | 51 | |
| 4 | 2002 | 43 | |
| 5 | 1999 | 19 | |
| 6 | 2014 | 19 | |
| 7 | 2008 | 18 | |
| 8 | 2000 | 17 | |
| 9 | 2000 | 14 | |
| 10 | 1999 | 9 | |
| 11 | 2010 | 7 | |
| 12 | 2009 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2007 | 4 | |
| 15 | 2009 | 3 | |
| 16 | 2008 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2011 | 1 | |
| 20 | 2012 | 1 |
About Ken Smith
Ken Smith is a scholar working on Artificial Intelligence, Information Systems, Geophysics, Computer Networks and Communications and Management Science and Operations Research, having authored 21 papers that have together received 565 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Data Quality and Management (3 papers), earthquake and tectonic studies (3 papers), Advanced Database Systems and Queries (3 papers), Research Data Management Practices (3 papers), Privacy-Preserving Technologies in Data (2 papers), Cryptography and Data Security (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Signal Processing (122 citations), Astronomy and Astrophysics (198 citations), Geophysics (59 citations), Artificial Intelligence (90 citations) and Computer Networks and Communications (53 citations). Ken Smith has collaborated with scholars based in United States. Frequent co-authors include Hanan Samet, Len Seligman, Leo Obrst, Peter Mork, Phillip B. Dawson, Glenn P. Biasi, Andrew M. Pitt, David P. Hill, Malcolm J. S. Johnston and Doug Burdick. Their work appears in journals such as Journal of Intelligent Information Systems, ACM SIGMOD Record, Journal of Geophysical Research Atmospheres, Computer and Science.
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.