Heinrich Küttler

4.2k total citations
5 papers, 8 citations indexed

About

Heinrich Küttler is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Heinrich Küttler has authored 5 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Heinrich Küttler's work include Reinforcement Learning in Robotics (3 papers), Multimodal Machine Learning Applications (1 paper) and Data Stream Mining Techniques (1 paper). Heinrich Küttler is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Multimodal Machine Learning Applications (1 paper) and Data Stream Mining Techniques (1 paper). Heinrich Küttler collaborates with scholars based in Israel, United States and United Kingdom. Heinrich Küttler's co-authors include Tim Rocktäschel, Edward Grefenstette, Nantas Nardelli, Eric Hambro, Fabio Petroni, Sebastian Riedel, Aleksandra Piktus, Vitaly Kurin, Minqi Jiang and Wen-tau Yih and has published in prestigious journals such as arXiv (Cornell University) and UCL Discovery (University College London).

In The Last Decade

Heinrich Küttler

4 papers receiving 8 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h				Papers	Cites
Heinrich Küttler Israel	3	8	3	1	5	8
Happy Buzaaba Japan	2	9 1.1×	3 1.0×		3	11
Vijay Prakash Dwivedi Singapore	4	9 1.1×	3 1.0×	1 1.0×	9	16
F. Betti Switzerland	2	6 0.8×	3 1.0×		2	8
Kate Baumli United Kingdom	2	6 0.8×	3 1.0×		2	8
Belinda Z. Li United States	3	8 1.0×	4 1.3×	1 1.0×	3	9
Mudit Jain India	3	6 0.8×	4 1.3×		4	8
Xi Victoria Lin United States	2	8 1.0×	2 0.7×		2	8
Thibault Laugel France	3	8 1.0×	2 0.7×		4	10
Massih Amini France	1	11 1.4×	3 1.0×		2	11
N. Meinert Germany	1	6 0.8×	4 1.3×		2	14

Countries citing papers authored by Heinrich Küttler

Since Specialization

Citations

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

Fields of papers citing papers by Heinrich Küttler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heinrich Küttler

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

All Works

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5 of 5 papers shown

1.

Küttler, Heinrich. (2023). In Gottes Namen fahren wir!. 7. 165–184.

2.

Răileanu, Roberta, et al.. (2021). Learning with AMIGo: Adversarially Motivated Intrinsic Goals. UCL Discovery (University College London). 1 indexed citations

3.

Samvelyan, Mikayel, Robert Kirk, Vitaly Kurin, et al.. (2021). MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. arXiv (Cornell University). 3 indexed citations

4.

Lewis, Patrick, Ethan Perez, Aleksandra Piktus, et al.. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. UCL Discovery (University College London). 33. 9459–9474. 2 indexed citations

5.

Küttler, Heinrich, Nantas Nardelli, Alexander Miller, et al.. (2020). The NetHack Learning Environment. UCL Discovery (University College London). 33. 7671–7684. 2 indexed citations

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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