Scott Niekum

46 papers and 946 indexed citations i.

About

Scott Niekum is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Scott Niekum has authored 46 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 15 papers in Control and Systems Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Scott Niekum’s work include Reinforcement Learning in Robotics (23 papers), Robot Manipulation and Learning (14 papers) and Machine Learning and Algorithms (12 papers). Scott Niekum is often cited by papers focused on Reinforcement Learning in Robotics (23 papers), Robot Manipulation and Learning (14 papers) and Machine Learning and Algorithms (12 papers). Scott Niekum collaborates with scholars based in United States, Germany and Japan. Scott Niekum's co-authors include George Konidaris, Andrew G. Barto, Sarah Osentoski, Oliver Kroemer, Ufuk Topcu, Roderick Bloem, Bettina Könighofer, Mohammed Alshiekh, Rüdiger Ehlers and Bhaskara Marthi and has published in prestigious journals such as The International Journal of Robotics Research, Machine Learning and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Scott Niekum i

Fields of papers citing papers by Scott Niekum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Scott Niekum

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025