Adrian Calma

12 papers and 144 indexed citations i.

About

Adrian Calma is a scholar working on Artificial Intelligence, Computer Science Applications and Epidemiology. According to data from OpenAlex, Adrian Calma has authored 12 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Science Applications and 1 paper in Epidemiology. Recurrent topics in Adrian Calma’s work include Machine Learning and Algorithms (8 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Adaptation to Concept Drift in Data Streams (4 papers). Adrian Calma is often cited by papers focused on Machine Learning and Algorithms (8 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Adaptation to Concept Drift in Data Streams (4 papers). Adrian Calma collaborates with scholars based in Germany, Switzerland and United States. Adrian Calma's co-authors include Bernhard Sick, Dominik Dellermann, Philipp Ebel, Nikolaus Lipusch, Jan Marco Leimeister, Sarah Oeste-Reiß, Paul Lukowicz, Gerd Stumme, Albrecht Schmidt and Katharina A. Zweig and has published in prestigious journals such as IEEE Access, Information Sciences and Alexandria (UniSG) (University of St.Gallen).

In The Last Decade

Co-authorship network of co-authors of Adrian Calma i

Fields of papers citing papers by Adrian Calma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Adrian Calma

Since Specialization
Citations

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