Ales Kubicek

403 citations
2 papers · 161 indexed · 1 hit paper · h-index 1
Topics
Topic Modeling (2 papers)Natural Language Processing Techniques (1 paper)Advanced Graph Neural Networks (1 paper)
Journals
IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the AAAI Conference on Artificial Intelligence
Partner nations
SwitzerlandPolandGermany

In The Last Decade

Ales Kubicek

1 paper receiving 155 citations

Hit Papers

Graph of Thoughts: Solving Elaborate Problems with Large ...202420262025202450100150

Peers

Ales Kubicek
Comparison fields: 5 of 53
  • Artificial Intelligence 102
  • Computer Vision and Pattern Recognition 25
  • Information Systems 19
  • Computer Networks and Communications 12
  • Health Informatics 10
Replace Piotr Nyczyk with:
Piotr Nyczyk Switzerland
H. Niewiadomski Switzerland
Nils Blach Switzerland
Dor Muhlgay Israel
Yeganeh Kordi United States
Daniel Hesslow France
Christopher Akiki Germany
Samuel Weinbach United States
Shijie Wang China
Kalpesh Krishna United States
Ales Kubicek relative to Piotr Nyczyk Switzerland Piotr Nyczyk's profile →
Citations per field
00.5×1.5×
Piotr Nyczyk · 1×
Citations per year

Countries citing papers authored by Ales Kubicek

Since Specialization
Citations

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

Fields of papers citing papers by Ales Kubicek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ales Kubicek

This figure shows the co-authorship network connecting the top 25 collaborators of Ales Kubicek. A scholar is included among the top collaborators of Ales Kubicek 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 Ales Kubicek. Ales Kubicek 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
#WorkIndexed citations
1 0
2
Graph of Thoughts: Solving Elaborate Problems with Large Language Modelsbreakdown →
161

About Ales Kubicek

Ales Kubicek is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 161 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Natural Language Processing Techniques (1 paper) and Advanced Graph Neural Networks (1 paper). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (102 citations) and Software (8 citations). Ales Kubicek has collaborated with scholars based in Switzerland, Poland and Germany. Frequent co-authors include Maciej Besta, Torsten Hoefler, Michał Podstawski, Piotr Nyczyk, H. Niewiadomski, Lukas Gianinazzi, Nils Blach, Robert Gerstenberger, Zhenyu Zhang and Onur Mutlu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.

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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