Christopher Kellogg
Impact in
-
- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
- Co-authors
- Karthik Ramasamy (1 shared paper)Sanjeev Kulkarni (1 shared paper)Jignesh M. Patel (1 shared paper)Maosong Fu (1 shared paper)Nathan J. Dorn (1 shared paper)Michael S. Simon (1 shared paper)Patricia LoRusso (1 shared paper)Wei Du (1 shared paper)
- Journals
- International Journal of Oncology (1 paper)Western Folklore (1 paper)Oecologia (1 paper)Magnetic Resonance in Medicine (1 paper)American Journal of Clinical Oncology (2 papers)
- Partner nations
- United States
In The Last Decade
Christopher Kellogg
8 papers receiving 444 citations
Christopher Kellogg's Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Networks and Communications 323
- Information Systems 245
- Signal Processing 59
- Hardware and Architecture 26
- Information Systems and Management 25
Countries citing papers authored by Christopher Kellogg
This map shows the geographic impact of Christopher Kellogg'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 Christopher Kellogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Kellogg more than expected).
Fields of papers citing papers by Christopher Kellogg
This network shows the impact of papers produced by Christopher Kellogg. 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 Christopher Kellogg. The network helps show where Christopher Kellogg may publish in the future.
Co-authors
The 20 scholars most cited alongside Christopher Kellogg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Twitter Heron Hit paper breakdown → | 2015 | 368 |
| 2 | 1999 | 32 | |
| 3 | 2011 | 20 | |
| 4 | 2000 | 15 | |
| 5 | 1991 | 14 | |
| 6 | 1994 | 7 | |
| 7 | The Genre of Trolls: The Case of a Finland-Swedish Folk Belief Tradition | 2008 | 1 |
| 8 | 1991 | 1 | |
| 9 | 2014 | 0 |
About Christopher Kellogg
Christopher Kellogg is a scholar working on Surgery, Oncology, Computer Networks and Communications, Molecular Biology and Nature and Landscape Conservation, having authored 9 papers that have together received 458 indexed citations. Recurring topics across this work include Historical and Archaeological Studies (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Drilling and Well Engineering (1 paper), Marine and fisheries research (1 paper), Biochemical Acid Research Studies (1 paper), Oil and Gas Production Techniques (1 paper) and Folklore, Mythology, and Literature Studies (1 paper). The work is most often cited by research in Computer Networks and Communications (323 citations), Information Systems (245 citations), Signal Processing (59 citations), Hardware and Architecture (26 citations) and Information Systems and Management (25 citations). Christopher Kellogg has collaborated with scholars based in United States. Frequent co-authors include Karthik Ramasamy, Sanjeev Kulkarni, Jignesh M. Patel, Maosong Fu, Nathan J. Dorn, Michael S. Simon, Patricia LoRusso, Wei Du, Diane R. Brown and Thomas H. Corbett. Their work appears in journals such as International Journal of Oncology, Western Folklore, Oecologia, Magnetic Resonance in Medicine and American Journal of Clinical Oncology.
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.