Emil Keyder

446 total citations
10 papers, 93 citations indexed

About

Emil Keyder is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Emil Keyder has authored 10 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Emil Keyder's work include AI-based Problem Solving and Planning (7 papers), Constraint Satisfaction and Optimization (4 papers) and Logic, Reasoning, and Knowledge (4 papers). Emil Keyder is often cited by papers focused on AI-based Problem Solving and Planning (7 papers), Constraint Satisfaction and Optimization (4 papers) and Logic, Reasoning, and Knowledge (4 papers). Emil Keyder collaborates with scholars based in United States, Germany and Australia. Emil Keyder's co-authors include Patrik Haslum, Jörg Hoffmann, Héctor Geffner, Michael B. Katz, Michael Katz, Gabriele Röger, Carmel Domshlak, Silvia Richter, Scott T. Michalski and Sarah M. Nielsen and has published in prestigious journals such as Journal of Artificial Intelligence Research, JCO Precision Oncology and edoc (University of Basel).

In The Last Decade

Emil Keyder

10 papers receiving 88 citations

Peers

Emil Keyder
Comparison fields: 5 of 23
  • Artificial Intelligence 68
  • Computer Networks and Communications 27
  • Computer Vision and Pattern Recognition 18
  • Computational Theory and Mathematics 16
  • Pulmonary and Respiratory Medicine 10
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Citations per field, relative to Emil Keyder
Emil Keyder · 1×
Citations per year, relative to Emil Keyder
Emil Keyder · 1×

Countries citing papers authored by Emil Keyder

Since Specialization
Citations

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

Fields of papers citing papers by Emil Keyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emil Keyder

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 15
2 1
3 5
4 5
5 2
6 6
7 30
8
Structural Patterns Beyond Forks: Extending the Complexity Boundaries of Classical Planning
6
9 11
10
Trees of shortest paths vs. Steiner trees: understanding and improving delete relaxation heuristics
12

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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