José Javier Dolado

1.3k citations
30 papers · 862 indexed · h-index 12
Topics
Software Engineering Research (22 papers)Software Reliability and Analysis Research (15 papers)Software Testing and Debugging Techniques (8 papers)
Partner nations
SpainUnited KingdomChile

In The Last Decade

José Javier Dolado

27 papers receiving 787 citations

Peers

José Javier Dolado
Comparison fields: 5 of 65
  • Information Systems 691
  • Software 606
  • Artificial Intelligence 253
  • Computer Networks and Communications 114
  • Computer Science Applications 42
Replace Daniel Ratiu with:
Daniel Ratiu Germany
Jörg Niere Germany
Albert Zündorf Germany
Horst Zuse Germany
Fabrizio Pastore Luxembourg
Neil Walkinshaw United Kingdom
Michał Antkiewicz Canada
Perdita Stevens United Kingdom
Norman F. Schneidewind United States
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Countries citing papers authored by José Javier Dolado

Since Specialization
Citations

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

Fields of papers citing papers by José Javier Dolado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Javier Dolado. 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 José Javier Dolado. The network helps show where José Javier Dolado may publish in the future.

Co-authorship network of co-authors of José Javier Dolado

This figure shows the co-authorship network connecting the top 25 collaborators of José Javier Dolado. A scholar is included among the top collaborators of José Javier Dolado 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 José Javier Dolado. José Javier Dolado 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 66
2 8
3 28
4 5
5 7
6 8
7
Una ontología para la gestión del conocimiento deproyectos software
2
8 2
9
Software engineering from an engineering perspective : SWEBOK as a study object
4
10 5
11 14
12 1
13 42
14 24
15 22
16 136
17
Assessing software organizations from a complex systems perspective
1
18 107
19
Software Effort Estimation: The Elusive Goal in Project Management.
4
20 10

About José Javier Dolado

José Javier Dolado is a scholar working on Software, Information Systems and Computer Science Applications, having authored 30 papers that have together received 862 indexed citations. Recurring topics across this work include Software Engineering Research (22 papers), Software Reliability and Analysis Research (15 papers) and Software Testing and Debugging Techniques (8 papers). The work is most often cited by research in Software (606 citations), Information Systems (691 citations) and Artificial Intelligence (253 citations). José Javier Dolado has collaborated with scholars based in Spain, United Kingdom and Chile. Frequent co-authors include Mark Harman, Daniel Rodríguez, Robert M. Hierons, José C. Riquelme, Spiros Mancoridis, Martin Shepperd, William B. Langdon, B.F. Jones, Rachel Harrison and Brian S. Mitchell. Their work appears in journals such as IEEE Transactions on Software Engineering, Applied Soft Computing and Computers & Operations Research.

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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