World's Best Scientists 2026 revealed!
VLDB Journal
H-index 33

VLDB Journal

1066-8888

Published by: Springer

https://www.springer.com/journal/778

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 141 190 241 33

Additional Metrics

Number of Best Scientists*: 192
Documents by Best Scientists*: 242
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 104
SCIMAGO SJR: 1.176
Impact Factor: 3.8

Overview

Top Research Topics at The Vldb Journal?

The concepts of Algorithm, Artificial intelligence, Theoretical computer science, Search engine indexing and Data mining are tackled in The Vldb Journal. The work on Algorithm tackled in the journal brings together disciplines like Binary logarithm, Functional dependency, Ranking (information retrieval) and k-nearest neighbors algorithm. The studies in Artificial intelligence featured incorporate elements of Machine learning and Pattern recognition.

Pattern recognition research in the journal involves the investigation of Outlier studies, all of which are linked to disciplines such as Range (mathematics). The Vldb Journal facilitates discussions on Theoretical computer science that incorporate concepts from other fields like Stability (learning theory), Greedy algorithm and Pruning (decision trees). The presented research on Pruning (decision trees) deals specifically with Reduction (recursion theory) but it also addresses topics in Speedup.

While Search engine indexing is the focus of the journal, it also provided insights into the studies of Selection algorithm, Nearest neighbor search and Concurrency. Some problems in Data mining that were presented in it overlapped with concepts under Feature extraction and Multi-core processor. Cluster analysis research featured in it incorporates concerns from various other topics such as Subspace topology and Field (computer science).

  • Algorithm (16.98%)
  • Artificial intelligence (15.09%)
  • Theoretical computer science (11.32%)

What are the most cited papers published in the journal?

  • Evaluating Clustering in Subspace Projections of High Dimensional Data (44 citations)
  • Preface to the special issue on spatial database systems (23 citations)
  • Preface to special issue on persistent object systems (8 citations)

Research areas of the most cited articles at The Vldb Journal:

The journal papers investigate areas of study like World Wide Web, Persistent object, Spatiotemporal database, Spatial database and Information retrieval. The most cited papers tackle research in Testbed, Web archiving and Web page as part of the general discipline of World Wide Web, however, they also discuss concepts in Directory and Data quality.

What topics the last edition of the journal is best known for?

  • Artificial intelligence
  • Database
  • Machine learning

The previous edition focused in particular on these issues:

The aim of The Vldb Journal is to expand the discussion of research in Algorithm, Theoretical computer science, Artificial intelligence, Search engine indexing and Speedup. Binary logarithm, Ranking (information retrieval), Table (database) and Data set are some topics wherein Algorithm research discussed in it have an impact. Topics in Theoretical computer science were tackled in line with various other fields like Stability (learning theory), Graph partition, Greedy algorithm and Social network.

The research on Artificial intelligence tackled can also make contributions to studies in the areas of Machine learning and Pattern recognition. Research in Nearest neighbor search and the interrelating topic of Dynamic time warping, SIMD, Index (publishing) and Metric space were among the subjects of interest in the Search engine indexing studies discussed in it. While Speedup is the key highlight in the journal, it also covered some subjects on Pruning (decision trees) and Reduction (recursion theory), Distributed Computing Environment and Vertex (geometry).

The most cited articles from the last journal are:

  • Towards efficient solutions of bitruss decomposition for large-scale bipartite graphs (3 citations)
  • $$\hbox {CDBTune}^{+}$$ CDBTune + : An efficient deep reinforcement learning-based automatic cloud database tuning system (2 citations)
  • Unsupervised and scalable subsequence anomaly detection in large data series (2 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in The Vldb Journal (based on the number of publications) are:

  • Xuemin Lin (8 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Ying Zhang (6 papers) published 6 papers at the last edition,
  • Lu Qin (5 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Wenjie Zhang (5 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Themis Palpanas (3 papers) published 3 papers at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in The Vldb Journal (based on the number of publications) are:

  • University of New South Wales (6 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • University of Technology, Sydney (5 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • University of Paris (3 papers) published 3 papers at the last edition,
  • Aalborg University (3 papers) published 3 papers at the last edition,
  • Huazhong University of Science and Technology (2 papers) published 2 papers at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 20.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 53.57% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.86% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 3.57% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in the Field

While discussing the research involved and potential topics of interest for readers, it's also paramount to highlight the potential career opportunities for those interested in these fields. For instance, a career as a teacher might be an excellent fit for those passionate about sharing knowledge and helping others understand complex concepts.

Virginia, in particular, offers excellent opportunities for individuals interested in teaching. The state's education system values innovation, research, and has a robust dedication to ensuring quality education. However, the journey to becoming a teacher in Virginia involves specific steps and requirements. Understanding the process can be of immense help for those considering this career path.

To help with this, we've prepared a detailed guide on how to become a teacher in Virginia. It includes the necessary educational requirements, details about the certification process, and approximate timelines. If you're wondering how long does it take to become a teacher in Virginia, this resource could be invaluable in providing the needed information.

Becoming a teacher is just one of many opportunities in the field of Algorithm, Artificial intelligence, Theoretical computer science, and Search engine indexing. The research skills and knowledge acquired from studying these disciplines can open doors to various other careers too.

Top Publications

  • A survey of community search over big graphs

    Yixiang Fang;Xin Huang;Lu Qin;Ying Zhang

    (2020)
    301 Citations
  • Spatial crowdsourcing: a survey

    Yongxin Tong;Zimu Zhou;Yuxiang Zeng;Lei Chen

    (2020)
    271 Citations
  • Making data visualization more efficient and effective: a survey

    Xuedi Qin;Yuyu Luo;Nan Tang;Guoliang Li

    (2020)
    216 Citations
  • Dataset search: a survey

    Adriane Chapman;Elena Simperl;Laura Koesten;George Konstantinidis

    (2020)
    204 Citations
  • A survey of trajectory distance measures and performance evaluation

    Han Su;Shuncheng Liu;Bolong Zheng;Xiaofang Zhou;Xiaofang Zhou

    (2020)
    187 Citations
  • LSM-based storage techniques: a survey

    Chen Luo;Michael J. Carey

    (2020)
    171 Citations
  • Fairness in rankings and recommendations: an overview

    Evaggelia Pitoura;Kostas Stefanidis;Georgia Koutrika

    (2021)
    145 Citations
  • Cross-chain deals and adversarial commerce

    Maurice Herlihy;Barbara Liskov;Liuba Shrira

    (2021)
    139 Citations
  • The core decomposition of networks: theory, algorithms and applications

    Fragkiskos D. Malliaros;Christos Giatsidis;Apostolos N. Papadopoulos;Michalis Vazirgiannis;Michalis Vazirgiannis

    (2020)
    130 Citations
  • Complex event recognition in the Big Data era: a survey

    Nikos Giatrakos;Elias Alevizos;Alexander Artikis;Antonios Deligiannakis

    (2020)
    123 Citations

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Best Scientists Contributing to This Journal