Alexander Mordvintsev

3.0k total citations · 3 hit papers
19 papers, 1.4k citations indexed

About

Alexander Mordvintsev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Alexander Mordvintsev has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Alexander Mordvintsev's work include Cellular Automata and Applications (4 papers), Quantum-Dot Cellular Automata (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Alexander Mordvintsev is often cited by papers focused on Cellular Automata and Applications (4 papers), Quantum-Dot Cellular Automata (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Alexander Mordvintsev collaborates with scholars based in United States, Italy and Russia. Alexander Mordvintsev's co-authors include Ludwig Schubert, Chris Olah, Mike Tyka, Christopher Olah, Philip Haeusser, Daniel Cremers, Shan Carter, Arvind Satyanarayan, Ian Johnson and Ettore Randazzo and has published in prestigious journals such as IEEE Journal of Oceanic Engineering, IFAC-PapersOnLine and arXiv (Cornell University).

In The Last Decade

Alexander Mordvintsev

19 papers receiving 1.3k 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.

Feature Visualization

2017 457 citations Chris Olah, Alexander Mordvintsev et al. profile →
The Building Blocks of Interpretability

2018 295 citations Chris Olah, Arvind Satyanarayan et al. profile →
Inceptionism: Going Deeper into Neural Networks

2015 290 citations Alexander Mordvintsev, Christopher Olah et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Mordvintsev United States	10	778	547	179	89	85	19	1.4k
Ludwig Schubert United States	11	738 0.9×	374 0.7×	135 0.8×	98 1.1×	112 1.3×	18	1.3k
Chris Olah United States	12	912 1.2×	1000 1.8×	174 1.0×	130 1.5×	33 0.4×	20	2.2k
Irina Higgins United Kingdom	8	741 1.0×	621 1.1×	138 0.8×	32 0.4×	41 0.5×	15	1.4k
Alexander Lerchner United States	8	711 0.9×	616 1.1×	160 0.9×	26 0.3×	38 0.4×	15	1.4k
Löıc Matthey United States	7	706 0.9×	613 1.1×	108 0.6×	26 0.3×	38 0.4×	11	1.4k
Brenden M. Lake United States	13	1.4k 1.8×	855 1.6×	267 1.5×	25 0.3×	82 1.0×	33	2.2k
Serhii Havrylov Ukraine	3	1.4k 1.9×	803 1.5×	61 0.3×	24 0.3×	99 1.2×	6	2.4k
Aravindh Mahendran United States	6	585 0.8×	766 1.4×	87 0.5×	73 0.8×	21 0.2×	9	1.3k
Arka Pal United States	2	681 0.9×	578 1.1×	68 0.4×	26 0.3×	37 0.4×	2	1.2k
Robert Geirhos Germany	5	623 0.8×	410 0.7×	151 0.8×	41 0.5×	29 0.3×	12	1.2k

Countries citing papers authored by Alexander Mordvintsev

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Mordvintsev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Mordvintsev

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Mordvintsev. A scholar is included among the top collaborators of Alexander Mordvintsev 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 Mordvintsev. Alexander Mordvintsev 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:

19 of 19 papers shown

1.

Randazzo, Ettore, et al.. (2023). Growing Steerable Neural Cellular Automata. 1 indexed citations

2.

Mordvintsev, Alexander, et al.. (2022). Safe Maneuvering Near Offshore Installations: A New Algorithmic Tool. IEEE Journal of Oceanic Engineering. 47(4). 895–915. 1 indexed citations

3.

Mordvintsev, Alexander, et al.. (2022). Growing Isotropic Neural Cellular Automata. 9 indexed citations

4.

Niklasson, Eyvind, Alexander Mordvintsev, & Ettore Randazzo. (2021). Asynchronicity in Neural Cellular Automata. 5 indexed citations

5.

Proskurnikov, Anton V., et al.. (2021). Deep Integration of INS and DP: from Theory to Experiments. IFAC-PapersOnLine. 54(16). 132–138. 4 indexed citations

6.

Niklasson, Eyvind, Alexander Mordvintsev, Ettore Randazzo, & Michael Levin. (2021). Self-Organising Textures. 6(2). 19 indexed citations

7.

Randazzo, Ettore, Alexander Mordvintsev, Eyvind Niklasson, & Michael Levin. (2021). Adversarial Reprogramming of Neural Cellular Automata. 6(5). 6 indexed citations

8.

Randazzo, Ettore, Luca Versari, & Alexander Mordvintsev. (2021). Recursively Fertile Self-replicating Neural Agents. 2 indexed citations

9.

Randazzo, Ettore, Alexander Mordvintsev, Eyvind Niklasson, Michael Levin, & Sam Greydanus. (2020). Thread: Differentiable Self-organizing Systems. 5(8). 1 indexed citations

10.

Mordvintsev, Alexander, Ettore Randazzo, Eyvind Niklasson, & Michael Levin. (2020). Growing Neural Cellular Automata. 5(2). 80 indexed citations

11.

Randazzo, Ettore, Alexander Mordvintsev, Eyvind Niklasson, Michael Levin, & Sam Greydanus. (2020). Self-classifying MNIST Digits. 5(8). 16 indexed citations

12.

Bailey, Paige, Sofien Bouaziz, Shan Carter, et al.. (2019). Differentiable graphics with TensorFlow 2.0. 1–211. 3 indexed citations

13.

Pezzotti, Nicola, Alexander Mordvintsev, Thomas Höllt, et al.. (2018). Linear tSNE optimization for the Web.. arXiv (Cornell University). 4 indexed citations

14.

Olah, Chris, Arvind Satyanarayan, Ian Johnson, et al.. (2018). The Building Blocks of Interpretability. 3(3). 295 indexed citations breakdown →

15.

Mordvintsev, Alexander, Nicola Pezzotti, Ludwig Schubert, & Chris Olah. (2018). Differentiable Image Parameterizations. 3(7). 44 indexed citations

16.

Haeusser, Philip, Alexander Mordvintsev, & Daniel Cremers. (2017). Learning by Association — A Versatile Semi-Supervised Training Method for Neural Networks. 626–635. 58 indexed citations

17.

Haeusser, Philip, et al.. (2017). Associative Domain Adaptation. 2784–2792. 143 indexed citations

18.

Olah, Chris, Alexander Mordvintsev, & Ludwig Schubert. (2017). Feature Visualization. 2(11). 457 indexed citations breakdown →

19.

Mordvintsev, Alexander, Christopher Olah, & Mike Tyka. (2015). Inceptionism: Going Deeper into Neural Networks. 290 indexed citations breakdown →

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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