Emil Keyder

458 citations
15 papers · 290 · h-index 8

Impact in

Papers in

Emil Keyder

15 papers receiving 272 citations

Peers

Emil Keyder
Comparison fields: 5 of 35
  • Artificial Intelligence 192
  • Computer Vision and Pattern Recognition 109
  • Computer Networks and Communications 72
  • Software 10
  • Computational Theory and Mathematics 27
Replace Florian Pommerening with:
Florian Pommerening Switzerland
Tuyen N. Huynh United States
Jiajun Liu China
Tony Tan United Kingdom
Xavier Cortés Spain
Qiuyan Wang China
Tan M. Nguyen United States
Ryan G. Gomes United States
Albena Tchamova Bulgaria
Emil Keyder relative to Florian Pommerening Switzerland Florian Pommerening's profile →
Citations per field
00.5×2×4×6.5×
Florian Pommerening · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Emil Keyder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emil Keyder Line = papers co-authored together Emil Keyder links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200863
2 201058
3 201844
4 201431
5 201823
6 202316
7
Trees of shortest paths vs. Steiner trees: understanding and improving delete relaxation heuristics
200914
8 201111
9
Structural Patterns Beyond Forks: Extending the Complexity Boundaries of Classical Planning
20126
10 20176
11 20215
12 20215
13 20075
14 20212
15 20221

About Emil Keyder

Emil Keyder is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Aerospace Engineering, having authored 15 papers that have together received 290 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (10 papers), Constraint Satisfaction and Optimization (6 papers), Logic, Reasoning, and Knowledge (5 papers), Model-Driven Software Engineering Techniques (2 papers), Advanced Vision and Imaging (2 papers), Robotic Path Planning Algorithms (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Formal Methods in Verification (2 papers). The work is most often cited by research in Artificial Intelligence (192 citations), Computer Vision and Pattern Recognition (109 citations), Computer Networks and Communications (72 citations), Software (10 citations) and Computational Theory and Mathematics (27 citations). Emil Keyder has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Malte Helmert, Silvia Richter, Patrik Haslum, Ramin Zabih, Charles Herrmann, Jörg Hoffmann, Héctor Geffner, Ce Liu, Chen Wang and Michael Krainin. Their work appears in journals such as Journal of Artificial Intelligence Research, JCO Precision Oncology, Lecture notes in computer science, Frontiers in artificial intelligence and applications and HAL (Le Centre pour la Communication Scientifique Directe).

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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