David E. Monarchi

1.1k citations
27 papers · 879 · h-index 12

Impact in

Papers in

David E. Monarchi

25 papers receiving 746 citations

Peers

David E. Monarchi
Comparison fields: 5 of 87
  • Software 174
  • Management Information Systems 189
  • Information Systems 397
  • Computer Science Applications 71
  • Artificial Intelligence 315
Replace Bennet P. Lientz with:
Bennet P. Lientz United States
Derek L. Nazareth United States
Heinz Züllighoven Germany
Günther Ruhe Canada
Rini van Solingen Netherlands
Raúl Medina‐Mora United States
Mike Konrad United States
Charles Petrie United States
Anne Persson Sweden
Jan Verelst Belgium
David E. Monarchi relative to Bennet P. Lientz United States Bennet P. Lientz's profile →
Citations per field
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Citations per year

Countries citing papers authored by David E. Monarchi

Since Specialization
Citations

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

Fields of papers citing papers by David E. Monarchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Monarchi. 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 David E. Monarchi. The network helps show where David E. Monarchi may publish in the future.

Co-authors

The 23 scholars most cited alongside David E. Monarchi, 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 David E. Monarchi Line = papers co-authored together David E. Monarchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992199
2 1995168
3 1995109
4 197384
5 200860
6 199254
7 199742
8 200435
9 197629
10 200721
11 199715
12 197712
13
An Analysis of the Deployment of Fire-Fighting Resources in Denver, Colorado
197510
14
Conceptual convergences: Positioning information systems among the business disciplines
20099
15 20089
16 19774
17 19944
18
An Assessment of Database Quality: Design it Right or The Right Design?
19964
19
An interactive algorithm for multiobjective decision making
19722
20 19922

About David E. Monarchi

David E. Monarchi is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Science Applications and Management Information Systems, having authored 27 papers that have together received 879 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Semantic Web and Ontologies (5 papers), Advanced Software Engineering Methodologies (4 papers), Advanced Database Systems and Queries (3 papers), Advanced Statistical Methods and Models (2 papers), Data Management and Algorithms (2 papers), Advanced Text Analysis Techniques (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Software (174 citations), Management Information Systems (189 citations), Information Systems (397 citations), Computer Science Applications (71 citations) and Artificial Intelligence (315 citations). David E. Monarchi has collaborated with scholars based in United States, Spain and New Zealand. Frequent co-authors include Steven D. Sheetz, David P. Tegarden, Yair Wand, Jeffrey Parsons, Carson Woo, Lucien Duckstein, Kai R. Larsen, Chester C. Kisiel, H. James Nelson and Dirk S. Hovorka. Their work appears in journals such as Journal of the Association for Information Systems, Decision Support Systems, Communications of the ACM, Journal of the American Statistical Association and Decision Sciences.

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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