Axel Polleres

1.6k citations
3 papers · 733 indexed · 1 hit paper · h-index 3
Topics
Advanced Graph Neural Networks (2 papers)Data Quality and Management (2 papers)Graph Theory and Algorithms (1 paper)
Journals
ACM Computing SurveysSPIRE - Sciences Po Institutional REpository

In The Last Decade

Axel Polleres

3 papers receiving 711 citations

Hit Papers

Knowledge Graphs20212026202220242021200400600

Peers

Axel Polleres
Comparison fields: 5 of 100
  • Artificial Intelligence 480
  • Information Systems 148
  • Management Science and Operations Research 132
  • Molecular Biology 103
  • Computer Vision and Pattern Recognition 78
Replace José Emilio Labra Gayo with:
José Emilio Labra Gayo Chile
Lukas Schmelzeisen Chile
Sabbir M. Rashid United States
Sabrina Kirrane Austria
Antoine Zimmermann France
Giorgio Terracina Italy
Wolfram Wöß Austria
Shengbin Jia China
Francesco Osborne United Kingdom
Petar Ristoski Germany
Axel Polleres relative to José Emilio Labra Gayo Chile José Emilio Labra Gayo's profile →
Citations per field
00.5×1.5×
José Emilio Labra Gayo · 1×
Citations per year

Countries citing papers authored by Axel Polleres

Since Specialization
Citations

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

Fields of papers citing papers by Axel Polleres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Axel Polleres

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

All Works

About Axel Polleres

Axel Polleres is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 3 papers that have together received 733 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (2 papers), Data Quality and Management (2 papers) and Graph Theory and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (480 citations), Management Science and Operations Research (132 citations) and Information Systems (148 citations). Axel Polleres has collaborated with scholars based in Chile, Austria and United Kingdom. Frequent co-authors include Gerard de Melo, Antoine Zimmermann, Roberto Navigli, Claudia d’Amato, Lukas Schmelzeisen, Anisa Rula, Juan Sequeda, Sabrina Kirrane, Steffen Staab and Eva Blomqvist. Their work appears in journals such as ACM Computing Surveys and SPIRE - Sciences Po Institutional REpository.

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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