Eric Lo
- Software top 2%
- Software Testing and Debugging Techniques 8
- Signal Processing top 2%
- Data Management and Algorithms 32
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- Advanced Database Systems and Queries 31
- Advanced Data Storage Technologies 11
- Distributed systems and fault tolerance 11
- Caching and Content Delivery 7
- Information Systems top 2%
- Web Data Mining and Analysis 6
- Artificial Intelligence top 5%
- Algorithms and Data Compression 7
- Co-authors
- Man Lung YiuDonald KossmannCarsten BinnigBen KaoM. TAMER ÖZSUReynold ChengZiqiang FengWing-Kai Hon
- Journals
- Proceedings of the VLDB Endowment (7 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)The VLDB Journal (3 papers)
- Partner nations
- Hong KongUnited StatesSwitzerland
In The Last Decade
Eric Lo
72 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Software 170
- Signal Processing 432
- Computer Networks and Communications 679
- Information Systems 419
- Artificial Intelligence 442
Countries citing papers authored by Eric Lo
This map shows the geographic impact of Eric Lo'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 Eric Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Lo more than expected).
Fields of papers citing papers by Eric Lo
This network shows the impact of papers produced by Eric Lo. 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 Eric Lo. The network helps show where Eric Lo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Lo, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 30 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 8 | |
| 9 | 2018 | 2 | |
| 10 | 2017 | 7 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 10 | |
| 13 | 2015 | 4 | |
| 14 | 2011 | 49 | |
| 15 | 2011 | 81 | |
| 16 | 2009 | 3 | |
| 17 | 2008 | 8 | |
| 18 | 2008 | 10 | |
| 19 | WSIPL: An XML scripting language for integrating web service data and applications | 2006 | 4 |
| 20 | Parallel execution of test runs for database application systems | 2005 | 13 |
About Eric Lo
Eric Lo is a scholar working on Signal Processing, Computer Networks and Communications, Software, Information Systems and Hardware and Architecture, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (32 papers), Advanced Database Systems and Queries (31 papers), Advanced Data Storage Technologies (11 papers), Distributed systems and fault tolerance (11 papers), Software Testing and Debugging Techniques (8 papers), Algorithms and Data Compression (7 papers), Caching and Content Delivery (7 papers) and Web Data Mining and Analysis (6 papers). The work is most often cited by research in Software (170 citations), Signal Processing (432 citations), Computer Networks and Communications (679 citations), Information Systems (419 citations) and Artificial Intelligence (442 citations). Eric Lo has collaborated with scholars based in Hong Kong, United States and Switzerland. Frequent co-authors include Man Lung Yiu, Donald Kossmann, Carsten Binnig, Ben Kao, M. TAMER ÖZSU, Reynold Cheng, Ziqiang Feng, Wing-Kai Hon, Florian Haftmann and David W. Cheung. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, Data & Knowledge Engineering and Information 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.