Jesús Pardillo

584 citations
30 papers · 462 · h-index 13

Impact in

Papers in

Jesús Pardillo

29 papers receiving 420 citations

Peers

Jesús Pardillo
Comparison fields: 5 of 33
  • Management Information Systems 183
  • Software 75
  • Information Systems 259
  • Computer Networks and Communications 256
  • Management Science and Operations Research 108
Replace Bernd Neumayr with:
Bernd Neumayr Austria
Jacky Akoka France
Markus Buschle Sweden
G. M. Nijssen Australia
Twittie Senivongse Thailand
Alexander Kozlenkov United Kingdom
David C. Hay United States
Carles Farré Spain
Ray Paul United States
Veit Köppen Germany
Jesús Pardillo relative to Bernd Neumayr Austria Bernd Neumayr's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jesús Pardillo

Since Specialization
Citations

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

Fields of papers citing papers by Jesús Pardillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Jesús Pardillo, 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 Jesús Pardillo Line = papers co-authored together Jesús Pardillo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200781
2 200757
3 200839
4 200937
5 201130
6 200930
7 200822
8 201018
9 200817
10 200816
11 200715
12 200613
13 200812
14 20089
15 20109
16 20089
17 20109
18
Applying the i* Framework to the Development of Data Warehouses.
20087
19 20116
20 20105

About Jesús Pardillo

Jesús Pardillo is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Management Information Systems and Signal Processing, having authored 30 papers that have together received 462 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (17 papers), Service-Oriented Architecture and Web Services (16 papers), Semantic Web and Ontologies (11 papers), Business Process Modeling and Analysis (6 papers), Model-Driven Software Engineering Techniques (6 papers), Data Management and Algorithms (6 papers), Advanced Software Engineering Methodologies (5 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Management Information Systems (183 citations), Software (75 citations), Information Systems (259 citations), Computer Networks and Communications (256 citations) and Management Science and Operations Research (108 citations). Jesús Pardillo has collaborated with scholars based in Spain, Italy and Panama. Frequent co-authors include Juan Trujillo, José-Norberto Mazón, José Zubcoff, Lilia Múñoz, Cristina Cachero, Ambrosio Toval, Irene Garrigós, Santiago Meliá, Jordi Cabot and Stefano Rizzi. Their work appears in journals such as Journal of Database Management, Lecture notes in computer science, Journal of Systems and Software, Information Sciences 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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