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Datenbank-Spektrum
H-index 8

Datenbank-Spektrum

1618-2162

Published by: Springer

https://www.springer.com/journal/13222

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 653 37 45 8

Additional Metrics

Number of Best Scientists*: 43
Documents by Best Scientists*: 49
Top 100 Ranked Scientists*: 1
SCIMAGO H-index:
SCIMAGO SJR:
Impact Factor: N/A

Overview

Top Research Topics at Datenbank-spektrum?

The aim of the journal is to expand the discussion of research in Humanities, Political science, Data science, Database and Information retrieval. Datenbank-spektrum tackles research in various disciplines, including Political science and Gynecology. The work tackled in Datenbank-spektrum goes beyond the discipline of Data science as it also encompasses World Wide Web.

  • Humanities (16.16%)
  • Political science (13.97%)
  • Data science (8.95%)

What are the most cited papers published in the journal?

  • Enterprise Content Management. (73 citations)
  • Data Quality at a Glance (69 citations)
  • A Database Perspective on Consuming Linked Data on the Web (57 citations)

Research areas of the most cited articles at Datenbank-spektrum:

The most cited articles mostly deal with topics like Data science, Database, Data management, World Wide Web and Data quality. The published articles focus on Data science but the discussions also offer insight into other areas such as Crowdsourcing, Information extraction, Point (typography), Human intelligence and Big data. The most cited papers address concerns in Database which are intertwined with other disciplines, such as Web standards, Web service, Web mapping, Web modeling and Joins.

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

  • Operating system
  • Database
  • Programming language

The previous edition focused in particular on these issues:

Datenbank-spektrum is organized to address concerns in the fields of Humanities, Political science, SQL, Database and Metadata. It focused on works that combine different research areas such as Humanities and E-assessment. It tackles research works in Political science as well as other disciplines like Library science and Gynecology.

The studies on SQL discussed can also contribute to research in the domains of Multimedia, Live coding, Focus (computing) and Blackboard (design pattern). The work on Database addressed in it expands to the thematically related Task (project management). Datenbank-spektrum explores topics in Metadata which can be helpful for research in disciplines like Latency (engineering), Information privacy, Web query classification and Data mining.

The most cited articles from the last journal are:

  • Season- and Trend-aware Symbolic Approximation for Accurate and Efficient Time Series Matching (1 citations)
  • SQLValidator – An Online Student Playground to Learn SQL (1 citations)
  • RelaX: Interaktive Relationale Algebra in der Lehre (1 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 Datenbank-spektrum (based on the number of publications) are:

  • Wolfgang Lehner (19 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Erhard Rahm (13 papers) absent at the last edition,
  • Theo Härder (12 papers) published 1 paper at the last edition,
  • Alfons Kemper (11 papers) absent at the last edition,
  • Andreas Heuer (10 papers) absent 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 Datenbank-spektrum (based on the number of publications) are:

  • Dresden University of Technology (20 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Leipzig University (15 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Otto-von-Guericke University Magdeburg (13 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Kaiserslautern University of Technology (12 papers) published 1 paper at the last edition,
  • Technische Universität München (11 papers) absent 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, 15.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 47.06% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.76% of all publications and 29.41% 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.

Application of Research Findings and Career Options in Related Fields

Given the diverse array of research topics in Datenbank-spektrum journal, it is important to understand how these findings can be applicable in real world environments and career paths. Particularly, the insights generated from these subjects can unequivocally offer solutions, guidance and foster innovations in various professional realms. For instance, the content concerning database, data science, programming language and information retrieval are strongly connected to in-demand careers like data analysts, information system managers, database administrators, and researchers.

In-depth comprehension of Data science or Database subjects can be particularly useful for educators in these fields. For instance, becoming an art teacher requirements new hampshire would require a practical understanding of data management and information retrieval, especially when it comes to maintaining records and using digital teaching aids in their activities. The research discussions on Humanities and Political Science can also be relevant for educators in related disciplines, as the findings can inform curriculum development and teaching strategies.

Moreover, experts in Gynecology or Political Science can also harness the knowledge shared in Datenbank-spektrum to heighten their professional expertise. Overall, the research work featured in this journal can offer beneficial insights for a broad range of professionals, thereby fostering proficiency and instigating advancements in their respective fields.

Top Publications

  • Continuous Training and Deployment of Deep Learning Models

    Ioannis Prapas;Behrouz Derakhshan;Alireza Rezaei Mahdiraji;Volker Markl

    (2021)
    28 Citations
  • SQLValidator – An Online Student Playground to Learn SQL

    Victor Obionwu;David Broneske;Anja Hawlitschek;Veit Köppen

    (2021)
    20 Citations
  • Testing Very Large Database Management Systems: The Case of SAP HANA

    (2022)
    16 Citations
  • ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario

    Johannes Daxenberger;Benjamin Schiller;Chris Stahlhut;Erik Kaiser

    (2020)
    15 Citations
  • An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning

    (2022)
    10 Citations
  • The Collaborative Research Center FONDA.

    Ulf Leser;Marcus Hilbrich;Claudia Draxl;Peter Eisert

    (2021)
    9 Citations
  • Relational and Fine-Grained Argument Mining

    Dietrich Trautmann;Michael Fromm;Volker Tresp;Thomas Seidl

    (2020)
    9 Citations
  • Explaining Arguments with Background Knowledge

    Maria Becker;Ioana Hulpuş;Juri Opitz;Debjit Paul

    (2020)
    9 Citations
  • Season- and Trend-aware Symbolic Approximation for Accurate and Efficient Time Series Matching

    Lars Kegel;Claudio Hartmann;Maik Thiele;Wolfgang Lehner

    (2021)
    8 Citations
  • The ReCAP Project

    Ralph Bergmann;Manuel Biertz;Lorik Dumani;Mirko Lenz

    (2020)
    7 Citations

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Best Scientists Contributing to This Journal