Eric Chu

25 papers receiving 1.1k citations

Hit Papers

ECOS: An SOCP solver for embedded systems201320262017202120132016100200300400

Peers

Eric Chu
Comparison fields: 5 of 107
  • Control and Systems Engineering 264
  • Computer Networks and Communications 261
  • Artificial Intelligence 241
  • Electrical and Electronic Engineering 199
  • Aerospace Engineering 184
Replace Janusz S. Kowalik with:
Janusz S. Kowalik United States
Aditya Mahajan Canada
John M. Danskin United States
H. Hindi United States
Masao Iri Japan
Brendan O’Donoghue United States
P. Tseng United States
François Glineur Belgium
Robert Manchek United States
Decision Systems.
Eric Chu relative to Janusz S. Kowalik United States Janusz S. Kowalik's profile →
Citations per field
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Janusz S. Kowalik · 1×
Citations per year

Countries citing papers authored by Eric Chu

Since Specialization
Citations

This map shows the geographic impact of Eric Chu'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 Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Chu more than expected).

Fields of papers citing papers by Eric Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Chu. 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 Chu. The network helps show where Eric Chu may publish in the future.

Co-authorship network of co-authors of Eric Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Chu. A scholar is included among the top collaborators of Eric Chu 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 Eric Chu. Eric Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Automated Performance Management for the Big Data Stack.
4
3
Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embeddingbreakdown →
298
4 30
5
ECOS: An SOCP solver for embedded systemsbreakdown →
430
6
Operator Splitting for Conic Optimization via Homogeneous Self-Dual Embedding
20
7 13
8 43
9
The Case for a Structured Approach to Managing Unstructured Data.
10
10 37
11
Sparse relational data sets: issues and an application
2
12
A relational approach to incrementally extracting and querying structure in unstructured data
39
13 40
14
Automating Physical Database Design: Workload as a Sequence
1
15 58
16 0
17 3
18 9
19 3
20 27

About Eric Chu

Eric Chu is a scholar working on Numerical Analysis, Surfaces, Coatings and Films and Signal Processing, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Sparse and Compressive Sensing Techniques (3 papers) and Electron and X-Ray Spectroscopy Techniques (3 papers). The work is most often cited by research in Numerical Analysis (134 citations), Signal Processing (125 citations) and Computer Networks and Communications (261 citations). Eric Chu has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Stephen Boyd, Alexander Domahidi, Brendan O’Donoghue, Jeffrey F. Naughton, Dimitry Gorinevsky, Sanjay Agrawal, Vivek Narasayya, AnHai Doan, M. Chodorow and Xiaoyong Chai. Their work appears in journals such as Journal of Applied Physics, Annals of Physics and Archive for Rational Mechanics and Analysis.

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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