Distributed and Parallel Databases

About

The 579 papers published in Distributed and Parallel Databases in the last decades have received a total of 11.8k indexed citations. Papers published in Distributed and Parallel Databases usually cover Computer Networks and Communications (391 papers), Information Systems (203 papers) and Artificial Intelligence (189 papers) specifically the topics of Data Management and Algorithms (168 papers), Advanced Database Systems and Queries (168 papers) and Distributed systems and fault tolerance (115 papers). The most active scholars publishing in Distributed and Parallel Databases are Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, Amit Sheth, Alistair Barros, Bartek Kiepuszewski, Krithi Ramamritham, Dimitrios Georgakopoulos, Mark F. Hornick, Patrick Valduriez and Schahram Dustdar.

In The Last Decade

Distributed and Parallel Databases

544 papers receiving 10.5k citations

Peers

Distributed and Parallel Databases
Comparison fields: 5 of 164
  • Computer Networks and Communications 6.3k
  • Information Systems 5.5k
  • Artificial Intelligence 3.9k
  • Management Information Systems 3.1k
  • Signal Processing 2.2k
Replace ACM Transactions on Internet Technology with:
ACM Transactions on Internet Technology United States
Queue United States
Journal of Industrial Information Integration China
Computer Science Review India
ACM Transactions on Information and System Security United States
Journal of Cloud Computing Advances Systems and Applications China
Automated Software Engineering United States
ACM Transactions on the Web United States
The Knowledge Engineering Review United Kingdom
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery United States
ACM Transactions on Internet Technology United States View profile →
Citations per field, relative to Distributed and Parallel Databases
Distributed and Parallel Databases · 1×
Citations per year, relative to Distributed and Parallel Databases
Distributed and Parallel Databases · 1×

Countries where authors publish in Distributed and Parallel Databases

Since Specialization
Citations

This map shows the geographic impact of research published in Distributed and Parallel Databases. 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 papers published in Distributed and Parallel Databases with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Distributed and Parallel Databases more than expected).

Fields of papers published in Distributed and Parallel Databases

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Distributed and Parallel Databases. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Distributed and Parallel Databases.

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 journals with similar magnitude of impact

Breakdown of academic impact, for papers in ACM Transactions on Internet Technology Breakdown of academic impact, for papers in Queue Breakdown of academic impact, for papers in Journal of Industrial Information Integration Breakdown of academic impact, for papers in Computer Science Review Breakdown of academic impact, for papers in ACM Transactions on Information and System Security Breakdown of academic impact, for papers in Journal of Cloud Computing Advances Systems and Applications Breakdown of academic impact, for papers in Automated Software Engineering Breakdown of academic impact, for papers in ACM Transactions on the Web Breakdown of academic impact, for papers in The Knowledge Engineering Review Breakdown of academic impact, for papers in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Rankless by CCL
2026