Alexander Gray

5.1k citations
102 papers · 2.7k · h-index 25

Impact in

Papers in

Alexander Gray

98 papers receiving 2.5k citations

Peers

Alexander Gray
Comparison fields: 5 of 155
  • Instrumentation 204
  • Astronomy and Astrophysics 621
  • Artificial Intelligence 1.0k
  • Computational Mathematics 19
  • Signal Processing 333
Replace Jeremy Kepner with:
Jeremy Kepner United States
Jeff Schneider United States
Rebecca Willett United States
Roberto Tagliaferri Italy
Daniel Hsu United States
Michael Biehl Germany
Bin Luo China
Christine De Mol Belgium
Karol Gregor United States
Ian Buck United States
Alexander Gray relative to Jeremy Kepner United States Jeremy Kepner's profile →
Citations per field
00.5×3.4×
Jeremy Kepner · 1×
Citations per year

Countries citing papers authored by Alexander Gray

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Investigation of Practical Approximate Nearest Neighbor Algorithms
2004241
2 2008187
3 2019185
4
`N-Body' Problems in Statistical Learning
2000167
5 2004125
6 2006121
7
Stochastic Alternating Direction Method of Multipliers
2013112
8 2006111
9 2003105
10 2009101
11
Detecting spammers with SNARE: spatio-temporal network-level automatic reputation engine
200999
12 201277
13 201060
14 201959
15 201053
16 200649
17
Rapid Evaluation of Multiple Density Models.
200343
18
An integrated system for multi-rover scientific exploration
199940
19 200937
20 200835

About Alexander Gray

Alexander Gray is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Statistics and Probability and Computational Mechanics, having authored 102 papers that have together received 2.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (18 papers), Data Management and Algorithms (13 papers), Machine Learning and Data Classification (13 papers), Machine Learning and Algorithms (9 papers), Neural Networks and Applications (8 papers), Statistical Methods and Inference (7 papers), Sparse and Compressive Sensing Techniques (7 papers) and Galaxies: Formation, Evolution, Phenomena (7 papers). The work is most often cited by research in Instrumentation (204 citations), Astronomy and Astrophysics (621 citations), Artificial Intelligence (1.0k citations), Computational Mathematics (19 citations) and Signal Processing (333 citations). Alexander Gray has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Andrew Moore, Parikshit Ram, Ting Liu, Ke Yang, Gordon T. Richards, Donald P. Schneider, R. C. Nichol, Adam D. Myers, Hua Ouyang and Dongryeol Lee. Their work appears in journals such as Computational Statistics & Data Analysis, The Astrophysical Journal Supplement Series, Journal of Machine Learning Research, International Journal of Approximate Reasoning and Journal of Contemporary Brachytherapy.

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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