Omar Chiotti

90 papers receiving 855 citations

Peers

Omar Chiotti
Comparison fields: 5 of 96
  • Management Information Systems 401
  • Information Systems 363
  • Management of Technology and Innovation 78
  • Industrial and Manufacturing Engineering 103
  • Artificial Intelligence 293
Replace Horacio Leone with:
Horacio Leone Argentina
Martin Henkel Sweden
Richard G. Mathieu United States
Steffen Lamparter Germany
Norihisa Komoda Japan
Carlos Agostinho Portugal
Bruno Vallespir France
Stephen H. Kaisler United States
Claudia Diamantini Italy
Basim Majeed United Kingdom
Omar Chiotti relative to Horacio Leone Argentina Horacio Leone's profile →
Citations per field
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Citations per year

Countries citing papers authored by Omar Chiotti

Since Specialization
Citations

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

Fields of papers citing papers by Omar Chiotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Omar Chiotti, 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 Omar Chiotti Line = papers co-authored together Omar Chiotti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201181
2
A process for building a domain ontology: an experience in developing a government budgetary ontology
200662
3 201162
4 200844
5 202043
6 201430
7
A BPMN 2.0 Extension to Define the Resource Perspective of Business Process Models.
201127
8 199726
9 201626
10
Towards a Volterra series representation from a Neural Network model
200420
11 201417
12 201017
13 202016
14 201115
15 199115
16 201515
17 201214
18 200714
19 200713
20 199313

About Omar Chiotti

Omar Chiotti is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications, having authored 97 papers that have together received 916 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (48 papers), Business Process Modeling and Analysis (47 papers), Semantic Web and Ontologies (28 papers), Multi-Agent Systems and Negotiation (11 papers), Collaboration in agile enterprises (9 papers), Process Optimization and Integration (8 papers), Advanced Control Systems Optimization (8 papers) and Scheduling and Optimization Algorithms (7 papers). The work is most often cited by research in Management Information Systems (401 citations), Information Systems (363 citations), Management of Technology and Innovation (78 citations), Industrial and Manufacturing Engineering (103 citations) and Artificial Intelligence (293 citations). Omar Chiotti has collaborated with scholars based in Argentina, Mexico and Chile. Frequent co-authors include Pablo Villarreal, Marı́a Rosa Galli, Oscar A. Iribarren, Georgina Stegmayer, Edgar Tello-Leal, Ernesto Martínez, Marco Pirola, G. Orengo, Luis M. Gugliotta and Jorge R. Vega. Their work appears in journals such as Computers in Industry, Computers & Industrial Engineering, Computers & Chemical Engineering, International Journal of Production Economics and Sustainable Energy Grids and Networks.

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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