Daniel Heesch

13 papers and 107 indexed citations i.

About

Daniel Heesch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel Heesch has authored 13 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel Heesch’s work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (9 papers) and Video Analysis and Summarization (7 papers). Daniel Heesch is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (9 papers) and Video Analysis and Summarization (7 papers). Daniel Heesch collaborates with scholars based in United Kingdom and United States. Daniel Heesch's co-authors include Stefan Rüger, Maria Petrou, Peter Howarth, Alexander May, João Magalhães, R.J. O'Callaghan, David Bull and Max A. Little and has published in prestigious journals such as Theoretical Population Biology, Multimedia Tools and Applications and The Journal of Difference Equations and Applications.

In The Last Decade

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

Fields of papers citing papers by Daniel Heesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Heesch

Since Specialization
Citations

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