Landon Kraemer

13 papers and 209 indexed citations i.

About

Landon Kraemer is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Landon Kraemer has authored 13 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in Landon Kraemer’s work include Reinforcement Learning in Robotics (6 papers), Logic, Reasoning, and Knowledge (4 papers) and AI-based Problem Solving and Planning (3 papers). Landon Kraemer is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Logic, Reasoning, and Knowledge (4 papers) and AI-based Problem Solving and Planning (3 papers). Landon Kraemer collaborates with scholars based in United States. Landon Kraemer's co-authors include Bikramjit Banerjee and has published in prestigious journals such as Neurocomputing, Autonomous Agents and Multi-Agent Systems and Advances in Complex Systems.

In The Last Decade

Co-authorship network of co-authors of Landon Kraemer i

Fields of papers citing papers by Landon Kraemer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Landon Kraemer

Since Specialization
Citations

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