Andrew Fikes
- Computer Networks and Communications top 0.2%
- Information Systems top 0.2%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Wilson C. HsiehTushar ChandraSanjay GhemawatJay B. DeanFay W. ChangRobert GruberDeborah A. WallachMike Burrows
- Topics
- Advanced Data Storage Technologies (5 papers)Distributed and Parallel Computing Systems (3 papers)Distributed systems and fault tolerance (2 papers)
- Journals
- ACM SIGMOD RecordACM Transactions on Computer SystemsOperating Systems Design and Implementation
- Partner nations
- United States
In The Last Decade
Andrew Fikes
5 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Networks and Communications 2.8k
- Information Systems 2.2k
- Artificial Intelligence 451
- Signal Processing 405
- Computer Vision and Pattern Recognition 320
Countries citing papers authored by Andrew Fikes
This map shows the geographic impact of Andrew Fikes'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 Andrew Fikes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Fikes more than expected).
Fields of papers citing papers by Andrew Fikes
This network shows the impact of papers produced by Andrew Fikes. 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 Andrew Fikes. The network helps show where Andrew Fikes may publish in the future.
Co-authorship network of co-authors of Andrew Fikes
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Fikes. A scholar is included among the top collaborators of Andrew Fikes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Fikes. Andrew Fikes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | Bigtablebreakdown → | 2111 |
| 3 | 19 | |
| 4 | Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!). | 30 |
| 5 | Bigtable: a distributed storage system for structured databreakdown → | 1182 |
About Andrew Fikes
Andrew Fikes is a scholar working on Computer Networks and Communications, Information Systems and Infectious Diseases, having authored 5 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (3 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Computer Networks and Communications (2.8k citations), Information Systems (2.2k citations) and Signal Processing (405 citations). Andrew Fikes has collaborated with scholars based in United States. Frequent co-authors include Wilson C. Hsieh, Tushar Chandra, Sanjay Ghemawat, Jay B. Dean, Fay W. Chang, Robert Gruber, Deborah A. Wallach, Mike Burrows, Brian F. Cooper and Christopher M. Taylor. Their work appears in journals such as ACM SIGMOD Record, ACM Transactions on Computer Systems and Operating Systems Design and Implementation.
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.