Arvid Heise

8 papers and 328 indexed citations i.

About

Arvid Heise is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Arvid Heise has authored 8 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Management Science and Operations Research and 3 papers in Artificial Intelligence. Recurrent topics in Arvid Heise’s work include Advanced Database Systems and Queries (5 papers), Data Quality and Management (4 papers) and Privacy-Preserving Technologies in Data (2 papers). Arvid Heise is often cited by papers focused on Advanced Database Systems and Queries (5 papers), Data Quality and Management (4 papers) and Privacy-Preserving Technologies in Data (2 papers). Arvid Heise collaborates with scholars based in Germany and United States. Arvid Heise's co-authors include Felix Naumann, Thorsten Papenbrock, Astrid Rheinländer, Ulf Leser, Fabian Hueske, Marcus Leich, Volker Markl, Johann-Christoph Freytag, Sebastian Schelter and Matthias J. Sax and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and The VLDB Journal.

In The Last Decade

Co-authorship network of co-authors of Arvid Heise i

Fields of papers citing papers by Arvid Heise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arvid Heise

Since Specialization
Citations

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