Eric Chu

2.2k total citations · 2 hit papers
27 papers, 1.2k citations indexed

About

Eric Chu is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Eric Chu has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Control and Systems Engineering and 5 papers in Information Systems. Recurrent topics in Eric Chu's 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). Eric Chu is often cited by papers focused on Advanced Database Systems and Queries (7 papers), Sparse and Compressive Sensing Techniques (3 papers) and Electron and X-Ray Spectroscopy Techniques (3 papers). Eric Chu collaborates with scholars based in United States, Switzerland and Canada. Eric Chu's 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 and has published in prestigious journals such as Journal of Applied Physics, Annals of Physics and Archive for Rational Mechanics and Analysis.

In The Last Decade

Eric Chu

25 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ECOS: An SOCP solver for embedded systems

2013 430 citations Alexander Domahidi, Eric Chu et al. profile →
Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding

2016 298 citations Brendan O’Donoghue, Eric Chu et al. Journal of Optimization Theory and Applications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eric Chu United States	14	264	261	241	199	184	27	1.2k
Janusz S. Kowalik United States	16	157 0.6×	297 1.1×	221 0.9×	169 0.8×	76 0.4×	45	1.4k
Aditya Mahajan Canada	16	296 1.1×	461 1.8×	239 1.0×	283 1.4×	41 0.2×	104	1.3k
H. Hindi United States	14	761 2.9×	241 0.9×	205 0.9×	353 1.8×	205 1.1×	49	2.0k
Zhijun Wu China	24	184 0.7×	899 3.4×	755 3.1×	217 1.1×	231 1.3×	161	1.9k
Masao Iri Japan	22	421 1.6×	160 0.6×	205 0.9×	93 0.5×	84 0.5×	62	1.9k
Malur K. Sundareshan United States	18	512 1.9×	323 1.2×	346 1.4×	183 0.9×	74 0.4×	117	1.3k
John M. Danskin United States	12	113 0.4×	283 1.1×	129 0.5×	82 0.4×	61 0.3×	31	1.1k
Thomas J. Laffey Ireland	19	143 0.5×	103 0.4×	372 1.5×	247 1.2×	60 0.3×	120	1.5k
Brendan O’Donoghue United States	12	298 1.1×	159 0.6×	397 1.6×	312 1.6×	74 0.4×	20	1.6k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chu, Eric, et al.. (2025). Velosiraptor : Code Synthesis for Memory Translation. 1365–1381.

2.

Babu, Shivnath, et al.. (2019). Automated Performance Management for the Big Data Stack.. Conference on Innovative Data Systems Research. 4 indexed citations

3.

O’Donoghue, Brendan, et al.. (2016). Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding. Journal of Optimization Theory and Applications. 169(3). 1042–1068. 298 indexed citations breakdown →

4.

Chakrabarti, Sambuddha, et al.. (2014). Security Constrained Optimal Power Flow via proximal message passing. 1–8. 30 indexed citations

5.

Domahidi, Alexander, Eric Chu, & Stephen Boyd. (2013). ECOS: An SOCP solver for embedded systems. 3071–3076. 430 indexed citations breakdown →

6.

O’Donoghue, Brendan, et al.. (2013). Operator Splitting for Conic Optimization via Homogeneous Self-Dual Embedding. arXiv (Cornell University). 20 indexed citations

7.

Chu, Eric, et al.. (2013). A distributed algorithm for fitting generalized additive models. Optimization and Engineering. 14(2). 213–224. 13 indexed citations

8.

Chu, Eric, Dimitry Gorinevsky, & Stephen Boyd. (2010). Detecting Aircraft Performance Anomalies from Cruise Flight Data. 43 indexed citations

9.

Doan, AnHai, Jeffrey F. Naughton, Xiaoyong Chai, et al.. (2009). The Case for a Structured Approach to Managing Unstructured Data.. Conference on Innovative Data Systems Research. 10 indexed citations

10.

Chu, Eric, et al.. (2009). Combining keyword search and forms for ad hoc querying of databases. 349–360. 37 indexed citations

11.

Naughton, Jeffrey F. & Eric Chu. (2008). Sparse relational data sets: issues and an application. 2 indexed citations

12.

Chu, Eric, et al.. (2007). A relational approach to incrementally extracting and querying structure in unstructured data. Very Large Data Bases. 1045–1056. 39 indexed citations

13.

Chu, Eric, et al.. (2007). The case for a wide-table approach to manage sparse relational data sets. 821–832. 40 indexed citations

14.

Agrawal, Sanjay, Eric Chu, & Vivek Narasayya. (2006). Automating Physical Database Design: Workload as a Sequence. International Conference on Management of Data. 1 indexed citations

15.

Agrawal, Sanjay, Eric Chu, & Vivek Narasayya. (2006). Automatic physical design tuning. 683–694. 58 indexed citations

16.

Chu, Eric & J. Ballam. (1963). Calculations of a magnetic field momentum-defining slit. Nuclear Instruments and Methods. 20. 31–34.

17.

Chu, Eric. (1960). The Lagrangian and the energy-momentum tensors in the perturbation theory of classical electrodynamics. Annals of Physics. 9(1). 76–92. 3 indexed citations

18.

Chu, Eric. (1960). On the Concept of Fictitious Surface Charges of an Electron Beam. Journal of Applied Physics. 31(2). 381–388. 9 indexed citations

19.

Chu, Eric. (1959). Two Alternative Definitions of Small Signal rf Power of Electron Beams. Journal of Applied Physics. 30(10). 1617–1618. 3 indexed citations

20.

Chodorow, M. & Eric Chu. (1955). Cross-Wound Twin Helices for Traveling-Wave Tubes. Journal of Applied Physics. 26(1). 33–43. 27 indexed citations

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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