Andrea Di Blas

About

Andrea Di Blas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Andrea Di Blas has authored 7 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Management Science and Operations Research. Recurrent topics in Andrea Di Blas’s work include Scheduling and Timetabling Solutions (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Algorithms and Data Compression (2 papers). Andrea Di Blas is often cited by papers focused on Scheduling and Timetabling Solutions (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Algorithms and Data Compression (2 papers). Andrea Di Blas collaborates with scholars based in United States and United Kingdom. Andrea Di Blas's co-authors include Tim Kaldewey, Pradeep Dubey, Changkyu Kim, Victor W. Lee, Eric Sedlar, Anthony D. Nguyen, Nadathur Satish, Jatin Chhugani, Richard Hughey and Arun Jagota and has published in prestigious journals such as Proceedings of the VLDB Endowment, Cytometry Part A and Parallel Computing.

In The Last Decade

Co-authorship network of co-authors of Andrea Di Blas i

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Fields of papers citing papers by Andrea Di Blas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea Di Blas. 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 Andrea Di Blas. The network helps show where Andrea Di Blas may publish in the future.

Countries citing papers authored by Andrea Di Blas

Since Specialization

Citations

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