Richard Sidle
Impact in
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Caching and Content Delivery
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 13
- Advanced Data Storage Technologies 8
- Distributed systems and fault tolerance 4
- Caching and Content Delivery 2
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- Data Management and Algorithms 7
- Co-authors
- Vijayshankar RamanRonald BarberGarret SwartGuy M. LohmanSam LightstoneIppokratis PandisRyan JohnsonLin Qiao
- Journals
- Proceedings of the VLDB Endowment (6 papers)ACM SIGMOD Record (1 paper)BTW (1 paper)International Conference on Management of Data (1 paper)IT University Of Copenhagen (IT University of Copenhagen) (3 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Richard Sidle
18 papers receiving 474 citations
Peers
Comparison fields: 5 of 25
- Computer Networks and Communications 480
- Signal Processing 178
- Hardware and Architecture 93
- Information Systems 189
- Artificial Intelligence 134
Countries citing papers authored by Richard Sidle
This map shows the geographic impact of Richard Sidle'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 Richard Sidle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Sidle more than expected).
Fields of papers citing papers by Richard Sidle
This network shows the impact of papers produced by Richard Sidle. 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 Richard Sidle. The network helps show where Richard Sidle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard Sidle, 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 | 2020 | 6 | |
| 2 | 2019 | 6 | |
| 3 | 2019 | 29 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 5 | |
| 6 | 2018 | 1 | |
| 7 | Evolving Databases for New-Gen Big Data Applications. | 2017 | 9 |
| 8 | 2016 | 7 | |
| 9 | 2015 | 15 | |
| 10 | 2014 | 15 | |
| 11 | 2014 | 61 | |
| 12 | 2013 | 182 | |
| 13 | 2009 | 7 | |
| 14 | 2008 | 94 | |
| 15 | 2008 | 62 | |
| 16 | Maintenance of Automatic Summary Tables. | 2000 | 6 |
| 17 | 2000 | 6 | |
| 18 | 2000 | 11 |
About Richard Sidle
Richard Sidle is a scholar working on Computer Networks and Communications, Signal Processing, Hardware and Architecture, Artificial Intelligence and Information Systems, having authored 18 papers that have together received 523 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (13 papers), Algorithms and Data Compression (9 papers), Advanced Data Storage Technologies (8 papers), Data Management and Algorithms (7 papers), Distributed systems and fault tolerance (4 papers), Parallel Computing and Optimization Techniques (3 papers), Data Mining Algorithms and Applications (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Computer Networks and Communications (480 citations), Signal Processing (178 citations), Hardware and Architecture (93 citations), Information Systems (189 citations) and Artificial Intelligence (134 citations). Richard Sidle has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Vijayshankar Raman, Ronald Barber, Garret Swart, Guy M. Lohman, Sam Lightstone, Ippokratis Pandis, Ryan Johnson, Lin Qiao, Berni Schiefer and Donald Kossmann. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, BTW, International Conference on Management of Data and IT University Of Copenhagen (IT University of Copenhagen).
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.