Gad Ariav

592 citations
24 papers · 382 · h-index 9

Impact in

Papers in

Gad Ariav

22 papers receiving 325 citations

Peers

Gad Ariav
Comparison fields: 5 of 62
  • Signal Processing 144
  • Management Information Systems 75
  • Computer Networks and Communications 183
  • Management Science and Operations Research 63
  • Artificial Intelligence 137
Replace Rosanne Price with:
Rosanne Price Australia
Borys Omelayenko Netherlands
Robert M. Colomb Australia
J. Leon Zhao United States
Jyrki Nummenmaa Finland
Levent V. Orman United States
Rattapoom Tuchinda United States
Khabib Mustofa Indonesia
Michael Benisch United States
Alex Berson
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Citations per field
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Citations per year

Countries citing papers authored by Gad Ariav

Since Specialization
Citations

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

Fields of papers citing papers by Gad Ariav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Gad Ariav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gad Ariav Line = papers co-authored together Gad Ariav links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986113
2 1985103
3 199444
4 199422
5 199114
6
METHODOLOGIES FOR DSS ANALYSIS AND DESIGN: A CONTINGENCY APPROACH TO THEIR APPLICATION
198612
7 199410
8 199210
9
A System Architecture for Temporally Oriented Data Management
19848
10 19838
11 19957
12
MDM: Handling the Time Dimension in Generalized DBMS.
19816
13
Design Requirements for Temporally Oriented Information Systems.
19876
14
Preserving the time dimension in information systems (database, graphics)
19845
15
AN EXAMINATION OF THE USE OF DIALOG CHARTS IN SPECIFYING CONCEPTUAL MODELS OF DIALOGS
19883
16
Dss Design--A Systemic View of Decision Support
19842
17 19882
18 19892
19 19862
20 19831

About Gad Ariav

Gad Ariav is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Information Systems, Information Systems and Signal Processing, having authored 24 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Semantic Web and Ontologies (6 papers), Business Process Modeling and Analysis (5 papers), Data Management and Algorithms (5 papers), Service-Oriented Architecture and Web Services (3 papers), Advanced Software Engineering Methodologies (3 papers), Neural Networks and Applications (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Signal Processing (144 citations), Management Information Systems (75 citations), Computer Networks and Communications (183 citations), Management Science and Operations Research (63 citations) and Artificial Intelligence (137 citations). Gad Ariav has collaborated with scholars based in United States and Israel. Frequent co-authors include Michael J. Ginzberg, Shimon Schocken, S. E. Goodman, James Clifford, Matthias Jarke, T. Y. Cliff Leung, Arie Segev, Curtis Dyreson, Michael D. Soo and Richard T. Snodgrass. Their work appears in journals such as ACM SIGMOD Record, Journal of the Association for Information Systems, Communications of the ACM, Decision Support Systems and Information Systems Journal.

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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