Gio Wiederhold

190 papers receiving 6.0k citations

Hit Papers

SIMPLIcity: semantics-sensitive integrated matching for p...1992202620032014200119924008001.2k

Peers

Gio Wiederhold
Comparison fields: 5 of 157
  • Computer Networks and Communications 3.0k
  • Artificial Intelligence 2.7k
  • Computer Vision and Pattern Recognition 2.5k
  • Information Systems 1.5k
  • Signal Processing 1.5k
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Citations per field
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Citations per year

Countries citing papers authored by Gio Wiederhold

Since Specialization
Citations

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

Fields of papers citing papers by Gio Wiederhold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gio Wiederhold

This figure shows the co-authorship network connecting the top 25 collaborators of Gio Wiederhold. A scholar is included among the top collaborators of Gio Wiederhold based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gio Wiederhold. Gio Wiederhold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 3
3
A scalable framework for the interoperation of information sources
23
4
A Textual Information Detection and Elimination System for Secure Medical Image Distribution
3
5
Metrics for Accessing Heterogeneous Data: Is There Any Hope? (Panel)
0
6
The Basis for Mediation.
23
7
Kaleidoscope Data Model for An English-like Query Language
2
8
Clinical research systems
2
9
Hospital information systems
5
10
A Cooperative Hypertext Interface to Relational Databases
5
11
Framework for the Security Component of an Ada DBMS
2
12
Data Definition Facilities of Critias
1
13
An Overview of Research in the Design of Distributed Databases.
7
14
Book III: Scientific and Research Applications in Medical Care: Studying Hypotheses on a Time-Oriented Clinical Database: An Overview of the RX Project
1
15
Engineering Data Management Activities Within the IPAD Project.
7
16
Separability - an approach to physical data base design
14
17
The Evolution of Ambulatory Medical Record Systems in the U.S.
4
18
GORDAS: A Formal High-Level Query Language for the Entity-Relationship Model
50
19 7
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THE ACME COMPILER
2

About Gio Wiederhold

Gio Wiederhold is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 200 papers that have together received 7.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (84 papers), Semantic Web and Ontologies (53 papers) and Data Management and Algorithms (40 papers). The work is most often cited by research in Signal Processing (1.5k citations), Computer Networks and Communications (3.0k citations) and Computer Vision and Pattern Recognition (2.5k citations). Gio Wiederhold has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include James Z. Wang, Jia Li, Stefano Ceri, Oscar Firschein, Michael Genesereth, Héctor García-Molina, Xiaolei Qian, Jia Li, Ramez Elmasri and Sha Xin Wei. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Communications of the ACM.

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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