Nicolás Cardozo

811 citations
59 papers · 521 · h-index 13

Impact in

Papers in

Nicolás Cardozo

53 papers receiving 503 citations

Peers

Nicolás Cardozo
Comparison fields: 5 of 68
  • Software 49
  • Information Systems 217
  • Computer Networks and Communications 210
  • Artificial Intelligence 246
  • Computer Vision and Pattern Recognition 77
Replace Dongdong Zhao with:
Dongdong Zhao China
Zilong Wang China
Preeti Gulia India
Masayoshi Aritsugi Japan
Pekka Kilpeläinen Finland
G. Shobha India
Kiyoshi Akama Japan
José Luis Flores Spain
Fathy Eassa Saudi Arabia
Dennis de Champeaux United States
Nicolás Cardozo relative to Dongdong Zhao China Dongdong Zhao's profile →
Citations per field
00.5×4.3×
Dongdong Zhao · 1×
Citations per year

Countries citing papers authored by Nicolás Cardozo

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Cardozo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 201956
3 201547
4
Subjective-C: bringing context to mobile platform programming
201037
5 201835
6 202218
7 201218
8 201616
9 202016
10 201616
11 201313
12 201812
13 202012
14 201410
15 201410
16 20149
17 20168
18 20128
19 20198
20 20197

About Nicolás Cardozo

Nicolás Cardozo is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Software, having authored 59 papers that have together received 521 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (35 papers), Service-Oriented Architecture and Web Services (23 papers), Context-Aware Activity Recognition Systems (17 papers), Software System Performance and Reliability (13 papers), Software Engineering Research (7 papers), Petri Nets in System Modeling (5 papers), Distributed systems and fault tolerance (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Software (49 citations), Information Systems (217 citations), Computer Networks and Communications (210 citations), Artificial Intelligence (246 citations) and Computer Vision and Pattern Recognition (77 citations). Nicolás Cardozo has collaborated with scholars based in Colombia, Ireland and Belgium. Frequent co-authors include Siobhán Clarke, Kim Mens, Nanxi Chen, Sebastián González, Ivana Dusparić, Theo D’Hondt, Jorge Duitama, Daniel Tello, Zoran Budimac and John J. Riascos. Their work appears in journals such as Information and Software Technology, Journal of Parallel and Distributed Computing, PeerJ Computer Science, Molecular Ecology Resources and Journal of Hydroinformatics.

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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