Arka Pal

4.0k total citations · 1 hit paper
2 papers, 1.2k citations indexed

About

Arka Pal is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arka Pal has authored 2 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Arka Pal's work include Evolutionary Algorithms and Applications (1 paper), Language and cultural evolution (1 paper) and Digital Media Forensic Detection (1 paper). Arka Pal is often cited by papers focused on Evolutionary Algorithms and Applications (1 paper), Language and cultural evolution (1 paper) and Digital Media Forensic Detection (1 paper). Arka Pal collaborates with scholars based in United States, United Kingdom and Canada. Arka Pal's co-authors include Irina Higgins, Löıc Matthey, Alexander Lerchner, Matthew Botvinick, Christopher Burgess, Xavier Glorot, Shakir Mohamed, Matko Bošnjak, Murray Shanahan and Demis Hassabis and has published in prestigious journals such as International Conference on Learning Representations and UCL Discovery (University College London).

In The Last Decade

Arka Pal

2 papers receiving 1.1k citations

Hit Papers

beta-VAE: Learning Basic Visual Concepts with a Constrain... 2017 2026 2020 2023 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arka Pal United States 2 681 578 144 79 68 2 1.2k
Löıc Matthey United States 7 706 1.0× 613 1.1× 144 1.0× 82 1.0× 69 1.0× 11 1.4k
Irina Higgins United Kingdom 8 741 1.1× 621 1.1× 146 1.0× 89 1.1× 69 1.0× 15 1.4k
Jyri Kivinen United Kingdom 6 646 0.9× 663 1.1× 125 0.9× 76 1.0× 86 1.3× 8 1.5k
Çaǧlar Gülçehre Canada 11 1.0k 1.5× 526 0.9× 188 1.3× 81 1.0× 85 1.3× 26 1.7k
Kyunghyun Cho United States 16 973 1.4× 606 1.0× 191 1.3× 84 1.1× 74 1.1× 39 1.5k
Alexander Lerchner United States 8 711 1.0× 616 1.1× 144 1.0× 80 1.0× 68 1.0× 15 1.4k
Ivo Danihelka United Kingdom 9 855 1.3× 638 1.1× 112 0.8× 66 0.8× 61 0.9× 9 1.5k
Harm de Vries Canada 7 565 0.8× 637 1.1× 162 1.1× 55 0.7× 36 0.5× 14 1.1k
Zhihong Zhang China 21 369 0.5× 446 0.8× 111 0.8× 55 0.7× 59 0.9× 124 1.3k
Ethan Perez United States 6 596 0.9× 566 1.0× 163 1.1× 50 0.6× 39 0.6× 12 1.1k

Countries citing papers authored by Arka Pal

Since Specialization
Citations

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

Fields of papers citing papers by Arka Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arka Pal

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

All Works

2 of 2 papers shown
1.
Higgins, Irina, Nicolas Sonnerat, Löıc Matthey, et al.. (2018). SCAN: Learning Hierarchical Compositional Visual Concepts. UCL Discovery (University College London). 17 indexed citations
2.
Higgins, Irina, Löıc Matthey, Arka Pal, et al.. (2017). beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. International Conference on Learning Representations. 1198 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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