Gabriel Terejanu

41 papers and 762 indexed citations i.

About

Gabriel Terejanu is a scholar working on Artificial Intelligence, Materials Chemistry and Statistics, Probability and Uncertainty. According to data from OpenAlex, Gabriel Terejanu has authored 41 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Materials Chemistry and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Gabriel Terejanu’s work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Probabilistic and Robust Engineering Design (10 papers) and Machine Learning in Materials Science (8 papers). Gabriel Terejanu is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (10 papers), Probabilistic and Robust Engineering Design (10 papers) and Machine Learning in Materials Science (8 papers). Gabriel Terejanu collaborates with scholars based in United States, India and Egypt. Gabriel Terejanu's co-authors include Puneet Singla, Tarunraj Singh, Peter Scott, Andreas Heyden, Eric A. Walker, Wenqiang Yang, Salai Cheettu Ammal, Kenji Miki, Osman Mamun and Todd Oliver and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and The Journal of Physical Chemistry C.

In The Last Decade

Co-authorship network of co-authors of Gabriel Terejanu i

Fields of papers citing papers by Gabriel Terejanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriel Terejanu

Since Specialization
Citations

This map shows the geographic impact of Gabriel Terejanu'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 Gabriel Terejanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Terejanu 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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2025