Stuart Madnick

294 papers receiving 3.8k citations

Peers

Stuart Madnick
Comparison fields: 5 of 132
  • Management Information Systems 988
  • Management Science and Operations Research 1.3k
  • Information Systems 2.0k
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 1.6k
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Veda C. Storey United States
Ralph Kimball United States
Gottfried Vossen Germany
Carlo Batini Italy
Grigoris Antoniou Greece
Il‐Yeol Song United States
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Countries citing papers authored by Stuart Madnick

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Madnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stuart Madnick, 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 Stuart Madnick Line = papers co-authored together Stuart Madnick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 323 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009295
2 1999238
3 2015160
4 1989130
5 2002124
6
A Polygen Model for Heterogeneous Database Systems: The Source Tagging Perspective
1990115
7 2018102
8 201888
9 201883
10 197368
11 200567
12 199567
13 200365
14 200062
15
A Cubic Framework for the Chief Data Officer: Succeeding in a World of Big Data
201456
16
Special Section: Assuring Information Quality.
200455
17 199751
18
GLOBAL e-READINESS - for WHAT?
200350
19 199449
20 200149

About Stuart Madnick

Stuart Madnick is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research and Management Information Systems, having authored 323 papers that have together received 4.5k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (94 papers), Advanced Database Systems and Queries (90 papers), Service-Oriented Architecture and Web Services (55 papers), Data Quality and Management (52 papers), Information and Cyber Security (47 papers), Data Management and Algorithms (27 papers), Cybersecurity and Cyber Warfare Studies (22 papers) and Big Data and Business Intelligence (19 papers). The work is most often cited by research in Management Information Systems (988 citations), Management Science and Operations Research (1.3k citations), Information Systems (2.0k citations), Computer Networks and Communications (1.5k citations) and Artificial Intelligence (1.6k citations). Stuart Madnick has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Michael Siegel, Hongwei Zhu, Tarek K. Abdel‐Hamid, Richard Y. Wang, Yang W. Lee, Cheng Hian Goh, Stéphane Bressan, Mohammad S. Jalali, John Donovan and Wei Lee Woon. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Management Information Systems, Journal of Data and Information Quality, Communications of the ACM and Decision Support Systems.

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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