Alexander Andreopoulos

3.4k total citations · 2 hit papers
17 papers, 1.8k citations indexed

About

Alexander Andreopoulos is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Alexander Andreopoulos has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Alexander Andreopoulos's work include Advanced Memory and Neural Computing (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and CCD and CMOS Imaging Sensors (4 papers). Alexander Andreopoulos is often cited by papers focused on Advanced Memory and Neural Computing (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and CCD and CMOS Imaging Sensors (4 papers). Alexander Andreopoulos collaborates with scholars based in United States, Canada and Switzerland. Alexander Andreopoulos's co-authors include John K. Tsotsos, Myron Flickner, Arnon Amir, Dharmendra S. Modha, David Van Den Berg, Brian Taba, Jeffrey L. McKinstry, Carmelo di Nolfo, Steve K. Esser and Andrew S. Cassidy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Alexander Andreopoulos

17 papers receiving 1.7k citations

Hit Papers

A Low Power, Fully Event-Based Gesture Recognition System 2016 2026 2019 2022 2017 2016 100 200 300 400 500
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.

  1. A Low Power, Fully Event-Based Gesture Recognition System
    2017 559 citations Arnon Amir, Brian Taba et al. profile →
  2. Convolutional networks for fast, energy-efficient neuromorphic computing
    2016 482 citations Steven K. Esser, Paul Merolla et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Andreopoulos United States 13 1.1k 601 536 524 216 17 1.8k
Garrick Orchard Singapore 19 2.0k 1.9× 483 0.8× 666 1.2× 963 1.8× 430 2.0× 45 2.5k
Gregory Cohen Australia 14 899 0.9× 351 0.6× 923 1.7× 498 1.0× 230 1.1× 39 1.9k
Zhaofei Yu China 23 1.1k 1.1× 268 0.4× 511 1.0× 689 1.3× 191 0.9× 98 1.9k
Jonathan Tapson Australia 22 997 0.9× 335 0.6× 1.0k 1.9× 678 1.3× 376 1.7× 118 2.4k
Alejandro Linares-Barranco Spain 26 1.7k 1.6× 298 0.5× 428 0.8× 669 1.3× 845 3.9× 132 2.3k
Uğur Halıcı Türkiye 15 246 0.2× 354 0.6× 250 0.5× 672 1.3× 289 1.3× 69 1.4k
Lianghua He China 19 399 0.4× 416 0.7× 231 0.4× 206 0.4× 74 0.3× 76 1.6k
Huajin Tang China 30 1.7k 1.6× 913 1.5× 1.2k 2.2× 1.4k 2.6× 422 2.0× 152 3.4k
Minhao Yang Switzerland 18 984 0.9× 251 0.4× 307 0.6× 285 0.5× 226 1.0× 41 1.5k
Henri Rebecq Switzerland 15 1.0k 1.0× 805 1.3× 210 0.4× 251 0.5× 73 0.3× 19 1.8k

Countries citing papers authored by Alexander Andreopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Andreopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Andreopoulos

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

All Works

17 of 17 papers shown
1.
Tsotsos, John K., et al.. (2019). Why Does Data-Driven Beat Theory-Driven Computer Vision?. 2057–2060. 5 indexed citations
2.
Andreopoulos, Alexander, Hirak J. Kashyap, Tapan K. Nayak, Arnon Amir, & Myron Flickner. (2018). A Low Power, High Throughput, Fully Event-Based Stereo System. 7532–7542. 32 indexed citations
3.
Amir, Arnon, Brian Taba, David Van Den Berg, et al.. (2017). A Low Power, Fully Event-Based Gesture Recognition System. 7388–7397. 559 indexed citations breakdown →
4.
Andreopoulos, Alexander, Rodrigo Alvarez-Icaza, Andrew S. Cassidy, & Myron Flickner. (2016). A low-power neurosynaptic implementation of Local Binary Patterns for texture analysis. 4308–4316. 5 indexed citations
5.
Barch, Davis, Andrew S. Cassidy, Michael DeBole, et al.. (2016). Always-On Speech Recognition Using TrueNorth, a Reconfigurable, Neurosynaptic Processor. IEEE Transactions on Computers. 66(6). 996–1007. 24 indexed citations
6.
Esser, Steven K., Paul Merolla, John V. Arthur, et al.. (2016). Convolutional networks for fast, energy-efficient neuromorphic computing. Proceedings of the National Academy of Sciences. 113(41). 11441–11446. 482 indexed citations breakdown →
7.
Barch, Davis, Andrew S. Cassidy, Michael DeBole, et al.. (2016). LATTE: Low-power Audio Transform with TrueNorth Ecosystem. 4270–4277. 8 indexed citations
8.
Andreopoulos, Alexander, Brian Taba, Andrew S. Cassidy, et al.. (2015). Visual saliency on networks of neurosynaptic cores. IBM Journal of Research and Development. 59(2/3). 9:1–9:16. 12 indexed citations
9.
Amir, Arnon, Pallab Datta, W. P. Risk, et al.. (2013). Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores. 1–10. 110 indexed citations
10.
Andreopoulos, Alexander & John K. Tsotsos. (2013). 50 Years of object recognition: Directions forward. Computer Vision and Image Understanding. 117(8). 827–891. 221 indexed citations
11.
Andreopoulos, Alexander & John K. Tsotsos. (2012). A Computational Learning Theory of Active Object Recognition Under Uncertainty. International Journal of Computer Vision. 101(1). 95–142. 31 indexed citations
12.
Andreopoulos, Alexander. (2011). Active object recognition in theory and practice. 430–430. 1 indexed citations
13.
Andreopoulos, Alexander & John K. Tsotsos. (2011). On Sensor Bias in Experimental Methods for Comparing Interest-Point, Saliency, and Recognition Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(1). 110–126. 17 indexed citations
14.
Andreopoulos, Alexander, et al.. (2010). Active 3D Object Localization Using a Humanoid Robot. IEEE Transactions on Robotics. 27(1). 47–64. 31 indexed citations
15.
Andreopoulos, Alexander & John K. Tsotsos. (2009). A theory of active object localization. 903–910. 17 indexed citations
16.
Andreopoulos, Alexander & John K. Tsotsos. (2008). Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI. Medical Image Analysis. 12(3). 335–357. 241 indexed citations
17.

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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