Eric Lo

2.3k citations
81 papers · 1.5k · h-index 19

Impact in

Papers in

Eric Lo

79 papers receiving 1.5k citations

Peers

Eric Lo
Comparison fields: 5 of 71
  • Signal Processing 520
  • Software 184
  • Computer Networks and Communications 818
  • Information Systems 530
  • Artificial Intelligence 583
Replace Hyoung-Joo Kim with:
Hyoung-Joo Kim South Korea
Mariano P. Consens Canada
Yahiko Kambayashi Japan
Curtis Dyreson United States
Peter T. Wood United Kingdom
Carsten Binnig Germany
Seung-won Hwang South Korea
Jan Paredaens Belgium
Oded Shmueli Israel
Yansheng Lu China
Eric Lo relative to Hyoung-Joo Kim South Korea Hyoung-Joo Kim's profile →
Citations per field
00.5×10×14.6×
Hyoung-Joo Kim · 1×
Citations per year

Countries citing papers authored by Eric Lo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Eric Lo Line = papers co-authored together Eric Lo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009251
2 2007109
3 201195
4 200784
5 200862
6 201155
7 201254
8 201549
9 200544
10 200642
11 201240
12 202138
13 202235
14 202033
15 201032
16 201328
17 200924
18 201420
19 201120
20 201218

About Eric Lo

Eric Lo is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (33 papers), Advanced Database Systems and Queries (33 papers), Distributed systems and fault tolerance (14 papers), Advanced Data Storage Technologies (12 papers), Software Testing and Debugging Techniques (9 papers), Caching and Content Delivery (9 papers), Algorithms and Data Compression (8 papers) and Web Data Mining and Analysis (6 papers). The work is most often cited by research in Signal Processing (520 citations), Software (184 citations), Computer Networks and Communications (818 citations), Information Systems (530 citations) and Artificial Intelligence (583 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, David W. Cheung, Wing-Kai Hon and Florian Haftmann. 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.

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