Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.
Research Impact Score:12.90
Contributing Best Scientists:297
H5-index:
Papers published by Best Scientists607
Research Ranking (Computer Science)24
Research Ranking (Computer Science)26
Conference Call for Papers
We invite submissions relating to all aspects of the data life cycle. Topics of interest include, but are not limited to:
Benchmarking, database monitoring, and performance tuning
Cloud data management and HPC
Crowdsourced and collaborative data management
Data models and semantics
Data provenance and workflows
Data exploration, visualization, query languages, and user interfaces
Data integration, information extraction, and schema matching
Data quality, data cleaning, and database usability
Data warehousing, OLAP, SQL Analytics
Data security, privacy, and access control
Data sparsity, boosting, simulated data, and digital twins
Data platforms for emerging hardware/Emerging hardware for data management
Data systems for knowledge discovery, data mining, machine learning, and artificial intelligence
Distributed, decentralized, and parallel data management, distributed ledgers, and blockchainsGraphs, social networks, and semantic web
Machine learning and artificial intelligence for data management and data systems
Multimedia and information retrieval
Query processing and optimization
Responsible data management and data fairness
Self-driving databases
Semistructured, partially structured, and unstructured data
Sensor networks and IoT
Spatial data management
Storage, indexing, and physical database design
Streams and complex event processing
Temporal databases
Transaction processing
Uncertain, probabilistic, and approximate databases
Overview
Top Research Topics at International Conference on Management of Data?
Database (20.83%)
Data mining (15.48%)
Information retrieval (13.50%)
International Conference on Management of Data mainly deals with areas of study such as Database, Data mining, Information retrieval, Theoretical computer science and World Wide Web.
The presentations discussing Database offer insights in topics such as Database design, SQL, Relational database, Relational database management system and Scalability.
The conference encompasses SQL studies in the context of Programming language as a whole.
Relational model is a primary topic of Relational database research in it.
The conference links adjacent topics like Data mining with Set (abstract data type).
The concepts on Information retrieval presented in the conference can also apply to other research fields, including Schema (psychology) and XML.
The Theoretical computer science works featured in the conference incorporate elements from Query optimization and Graph.
While work presented in the conference provided substantial information on Query optimization, it also covered topics in Spatial query, Query by Example and View.
The study of Query language encompasses disciplines such as Web query classification, as well as fields such as Sargable, all of which overlap with one another.
What are the most cited papers published at the conference?
Mining association rules between sets of items in large databases (13426 citations)
R-trees: a dynamic index structure for spatial searching (6304 citations)
Mining frequent patterns without candidate generation (5661 citations)
Research areas of the most cited articles at International Conference on Management of Data:
The conference articles investigate areas of study like Data mining, Database, Theoretical computer science, Information retrieval and Query optimization.
The conference articles focus on Data mining but the discussions also offer insight into other areas such as Tuple, Set (abstract data type), Search engine indexing and Cluster analysis.
The conference papers deal with Theoretical computer science in conjunction with Graph and similar fields in Graph (abstract data type).
What topics the last edition of the conference is best known for?
Operating system
Artificial intelligence
Programming language
The previous edition focused in particular on these issues:
International Conference on Management of Data mostly deals with topics like Artificial intelligence, Theoretical computer science, Scalability, Set (abstract data type) and Machine learning.
The event explores issues in Artificial intelligence which can be linked to other research areas like Task (project management) and Data management.
The work on Theoretical computer science tackled in it brings together disciplines like Graph (abstract data type) and Joins.
The event holds forums on Scalability that merges themes from other disciplines such as Cloud computing and Distributed computing.
Issues in Set (abstract data type) were discussed, taking into consideration concepts from other disciplines like Algorithm, Data mining and Data structure.
The most cited articles from the last conference are:
SharPer: Sharding Permissioned Blockchains Over Network Clusters (17 citations)
FogBus2: a lightweight and distributed container-based framework for integration of IoT-enabled systems with edge and cloud computing (7 citations)
Bao: Making Learned Query Optimization Practical (5 citations)
Papers citation over time
A key indicator for each conference 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.
Research.com
Top authors and change over time
The top authors publishing at International Conference on Management of Data (based on the number of publications) are:
Marianne Winslett (96 papers) published 2 papers at the last edition the same number as at the previous edition,
Michael Stonebraker (80 papers) absent at the last edition,
Surajit Chaudhuri (74 papers) published 1 paper at the last edition, 2 less than at the previous edition,
Divesh Srivastava (70 papers) published 1 paper at the last edition,
Michael J. Carey (69 papers) absent at the last edition.
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Research.com
Top affiliations and change over time
Only papers with recognized affiliations are considered
The top affiliations publishing at International Conference on Management of Data (based on the number of publications) are:
IBM (465 papers) published 7 papers at the last edition the same number as at the previous edition,
Microsoft (408 papers) published 25 papers at the last edition the same number as at the previous edition,
University of Wisconsin-Madison (230 papers) published 2 papers at the last edition, 8 less than at the previous edition,
Stanford University (190 papers) absent at the last edition,
University of California, Berkeley (187 papers) published 8 papers at the last edition, 4 less than at the previous edition.
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
Research.com
Publication chance based on affiliation
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
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.
Research.com
During the most recent 2021 edition, 3.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.69% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.73% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 26.33% of all publications and 38.24% were from other institutions.
Returning Authors Index
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference in relation to all participants in a given year.
Research.com
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.
Research.com
The experience to innovation index
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, 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.
