Ákos Kádár

872 total citations
17 papers, 173 citations indexed

About

Ákos Kádár is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ákos Kádár has authored 17 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Ákos Kádár's work include Topic Modeling (10 papers), Multimodal Machine Learning Applications (9 papers) and Natural Language Processing Techniques (9 papers). Ákos Kádár is often cited by papers focused on Topic Modeling (10 papers), Multimodal Machine Learning Applications (9 papers) and Natural Language Processing Techniques (9 papers). Ákos Kádár collaborates with scholars based in Netherlands, United States and Canada. Ákos Kádár's co-authors include Grzegorz Chrupała, Afra Alishahi, Desmond Elliott, Chris Emmery, Emiel van Miltenburg, Emiel Krahmer, Ruud Koolen, Marc-Alexandre Côté, Adam Trischler and Afsaneh Fazly and has published in prestigious journals such as Computational Linguistics, Computational Brain & Behavior and Data Archiving and Networked Services (DANS).

In The Last Decade

Ákos Kádár

16 papers receiving 156 citations

Peers

Ákos Kádár
Comparison fields: 5 of 33
  • Artificial Intelligence 152
  • Computer Vision and Pattern Recognition 93
  • Signal Processing 10
  • Experimental and Cognitive Psychology 7
  • Cultural Studies 6
Replace Liunian Harold Li with:
Liunian Harold Li United States
Alane Suhr United States
Sandro Pezzelle Netherlands
Chelsea Voss Canada
Aida Nematzadeh Canada
Michaela Regneri Germany
Sina Zarrieß Germany
Arya D. McCarthy United States
Yova Kementchedjhieva Denmark
Philip John Gorinski Sweden
Liunian Harold Li United States View profile →
Citations per field, relative to Ákos Kádár
Ákos Kádár · 1×
Citations per year, relative to Ákos Kádár
Ákos Kádár · 1×

Countries citing papers authored by Ákos Kádár

Since Specialization
Citations

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

Fields of papers citing papers by Ákos Kádár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ákos Kádár

This figure shows the co-authorship network connecting the top 25 collaborators of Ákos Kádár. A scholar is included among the top collaborators of Ákos Kádár 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 Ákos Kádár. Ákos Kádár 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
# Work Indexed citations
1 1
2 6
3 2
4 1
5 1
6 2
7 4
8
Learning Visually Grounded and Multilingual Representations
1
9 11
10
DIDEC: The Dutch Image Description and Eye-tracking Corpus
10
11
FigureQA: An Annotated Figure Dataset for Visual Reasoning
6
12
Imagination improves Multimodal Translation
26
13 69
14
Linguistic Analysis of Multi-Modal Recurrent Neural Networks
1
15
Learning word meanings from images of natural scenes
6
16 23
17 3

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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