Clemente Izurieta

1.8k citations
85 papers · 1.2k indexed · h-index 17
Topics
Software Engineering Research (48 papers)Software Engineering Techniques and Practices (26 papers)Software Reliability and Analysis Research (22 papers)
Partner nations
United StatesBrazilItaly

In The Last Decade

Clemente Izurieta

77 papers receiving 1.1k citations

Peers

Clemente Izurieta
Comparison fields: 5 of 98
  • Information Systems 717
  • Software 309
  • Computer Networks and Communications 233
  • Computer Science Applications 185
  • Artificial Intelligence 166
Replace Daniel Rodríguez with:
Daniel Rodríguez Spain
Peter Coad Australia
Barbara Russo Italy
Mohammad Shameem India
Arnon Sturm Israel
Irman Hermadi Indonesia
Kaushal Chari United States
Yangyang Zhao China
Yanhui Li China
William A. Wulf United States
Clemente Izurieta relative to Daniel Rodríguez Spain Daniel Rodríguez's profile →
Citations per field
00.5×1.5×1.8×
Daniel Rodríguez · 1×
Citations per year

Countries citing papers authored by Clemente Izurieta

Since Specialization
Citations

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

Fields of papers citing papers by Clemente Izurieta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clemente Izurieta

This figure shows the co-authorship network connecting the top 25 collaborators of Clemente Izurieta. A scholar is included among the top collaborators of Clemente Izurieta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clemente Izurieta. Clemente Izurieta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
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5 1
6 0
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11 1
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14 16
15 7
16
Toward Technical Debt Aware Software Modeling.
5
17 9
18 3
19 13
20
Comparison of JSON and XML Data Interchange Formats: A Case Study.
148

About Clemente Izurieta

Clemente Izurieta is a scholar working on Software, Information Systems and Computer Science Applications, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (48 papers), Software Engineering Techniques and Practices (26 papers) and Software Reliability and Analysis Research (22 papers). The work is most often cited by research in Software (309 citations), Computer Science Applications (185 citations) and Information Systems (717 citations). Clemente Izurieta has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include James M. Bieman, Carolyn Seaman, Randall Reynolds, Geoffrey C. Poole, Yuanfang Cai, Nico Zazworka, Forrest Shull, Antonio Vetrò, R. A. Payn and Ashley M. Helton. Their work appears in journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and ACM Computing Surveys.

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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