Eric Price

48 papers receiving 1.1k citations

Peers

Eric Price
Comparison fields: 5 of 53
  • Computational Mathematics 17
  • Computational Mechanics 533
  • Signal Processing 99
  • Applied Mathematics 145
  • Computational Theory and Mathematics 144
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Michael Strauss United States
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Odile Macchi France
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Bogdan Dumitrescu Romania
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Citations per field
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Citations per year

Countries citing papers authored by Eric Price

Since Specialization
Citations

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

Fields of papers citing papers by Eric Price

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Price, 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 Price Line = papers co-authored together Eric Price links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012202
2 2012191
3 201084
4 201060
5 201360
6
AmbientGAN: Generative models from lossy measurements
201850
7 201137
8 201537
9 201334
10 201533
11
(Nearly) Sample-Optimal Sparse Fourier Transform
201331
12 201429
13 201128
14 201325
15 201124
16 201219
17 201516
18 201113
19 201613
20
Efficient Sketches for the Set Query Problem ∗
201111

About Eric Price

Eric Price is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Artificial Intelligence, Statistics and Probability and Computer Networks and Communications, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (28 papers), Complexity and Algorithms in Graphs (14 papers), Algorithms and Data Compression (10 papers), Advanced Database Systems and Queries (6 papers), Graph Theory and Algorithms (4 papers), Mathematical Analysis and Transform Methods (4 papers), Probability and Statistical Research (3 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Computational Mathematics (17 citations), Computational Mechanics (533 citations), Signal Processing (99 citations), Applied Mathematics (145 citations) and Computational Theory and Mathematics (144 citations). Eric Price has collaborated with scholars based in United States, Singapore and Belgium. Frequent co-authors include Piotr Indyk, Dina Katabi, Haitham Hassanieh, David P. Woodruff, Michael Kapralov, Moritz Hardt, Alexandros G. Dimakis, Ashish Bora, Patrick MacAlpine and Peter Stone. Their work appears in journals such as Information and Inference A Journal of the IMA, SIAM Journal on Computing, Algorithmica, Lecture notes in computer science and International Journal of Computational Geometry & Applications.

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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