Diego Didona
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Management Science and Operations Research
- Co-authors
- Willy ZwaenepoelPaolo RomanoFrancesco QuagliaFlorin DinuPamela DelgadoSebastiano PelusoKaran GuptaOana Balmau
- Topics
- Distributed systems and fault tolerance (18 papers)Advanced Data Storage Technologies (16 papers)Cloud Computing and Resource Management (15 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsProceedings of the VLDB EndowmentACM Transactions on Computer Systems
- Partner nations
- PortugalSwitzerlandItaly
In The Last Decade
Diego Didona
29 papers receiving 448 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 423
- Information Systems 272
- Hardware and Architecture 101
- Artificial Intelligence 62
- Management Science and Operations Research 28
Countries citing papers authored by Diego Didona
This map shows the geographic impact of Diego Didona'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 Diego Didona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Didona more than expected).
Fields of papers citing papers by Diego Didona
This network shows the impact of papers produced by Diego Didona. 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 Diego Didona. The network helps show where Diego Didona may publish in the future.
Co-authorship network of co-authors of Diego Didona
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Didona. A scholar is included among the top collaborators of Diego Didona 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 Diego Didona. Diego Didona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores. | 35 |
| 5 | Size-aware Sharding For Improving Tail Latencies in In-memory Key-value Stores | 13 |
| 6 | 17 | |
| 7 | Causal Consistency and Latency Optimality: Friend or Foe? [Extended Version] | 1 |
| 8 | 29 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 56 | |
| 12 | 2 | |
| 13 | 10 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 13 | |
| 17 | 17 | |
| 18 | 17 | |
| 19 | 30 | |
| 20 | 1 |
About Diego Didona
Diego Didona is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 29 papers that have together received 474 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (18 papers), Advanced Data Storage Technologies (16 papers) and Cloud Computing and Resource Management (15 papers). The work is most often cited by research in Computer Networks and Communications (423 citations), Hardware and Architecture (101 citations) and Information Systems (272 citations). Diego Didona has collaborated with scholars based in Portugal, Switzerland and Italy. Frequent co-authors include Willy Zwaenepoel, Paolo Romano, Francesco Quaglia, Florin Dinu, Pamela Delgado, Sebastiano Peluso, Karan Gupta, Oana Balmau, Rachid Guerraoui and Nikolas Ioannou. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Proceedings of the VLDB Endowment and ACM Transactions on Computer Systems.
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.