Mark Campbell

23 papers and 179 indexed citations i.

About

Mark Campbell is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Campbell has authored 23 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Campbell’s work include Ethics and Social Impacts of AI (3 papers), Big Data and Business Intelligence (3 papers) and Advanced Malware Detection Techniques (2 papers). Mark Campbell is often cited by papers focused on Ethics and Social Impacts of AI (3 papers), Big Data and Business Intelligence (3 papers) and Advanced Malware Detection Techniques (2 papers). Mark Campbell collaborates with scholars based in Serbia. Mark Campbell's co-authors include Mladjan Jovanovic and has published in prestigious journals such as Computer.

In The Last Decade

Co-authorship network of co-authors of Mark Campbell i

Fields of papers citing papers by Mark Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Campbell

Since Specialization
Citations

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