Daniel Harabor

79 papers and 1.1k indexed citations i.

About

Daniel Harabor is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Daniel Harabor has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 50 papers in Artificial Intelligence and 31 papers in Signal Processing. Recurrent topics in Daniel Harabor’s work include Robotic Path Planning Algorithms (59 papers), Data Management and Algorithms (31 papers) and Artificial Intelligence in Games (22 papers). Daniel Harabor is often cited by papers focused on Robotic Path Planning Algorithms (59 papers), Data Management and Algorithms (31 papers) and Artificial Intelligence in Games (22 papers). Daniel Harabor collaborates with scholars based in Australia, United States and Canada. Daniel Harabor's co-authors include Alban Grastien, Peter J. Stuckey, Sven Koenig, Jiaoyang Li, Adi Botea, Hang Ma, Graeme Gange, Pierre Le Bodic, Ben Strasser and Zhe Chen and has published in prestigious journals such as Expert Systems with Applications, Artificial Intelligence and Computers & Operations Research.

In The Last Decade

Co-authorship network of co-authors of Daniel Harabor i

Fields of papers citing papers by Daniel Harabor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Harabor

Since Specialization
Citations

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

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