José A. Taboada

796 citations
40 papers · 532 · h-index 12

Impact in

Papers in

José A. Taboada

36 papers receiving 508 citations

Peers

José A. Taboada
Comparison fields: 5 of 117
  • Software 99
  • Anesthesiology and Pain Medicine 78
  • Health Information Management 38
  • Virology 37
  • Information Systems 171
Replace K. Sridhar Patnaik with:
K. Sridhar Patnaik India
Aakanksha Sharma India
Ahmed Iqbal Pakistan
Khairul Azmi Abu Bakar Malaysia
Byeong-Gwon Kang South Korea
Yiwei Liu China
Su Zheng China
Tamanna Siddiqui India
Xiaoyan Yang China
Nouh Sabri Elmitwally United Kingdom
José A. Taboada relative to K. Sridhar Patnaik India K. Sridhar Patnaik's profile →
Citations per field
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K. Sridhar Patnaik · 1×
Citations per year

Countries citing papers authored by José A. Taboada

Since Specialization
Citations

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

Fields of papers citing papers by José A. Taboada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200273
2 198657
3 201855
4 199755
5 198645
6 200540
7 202131
8 200426
9 202115
10 199712
11 200812
12 201611
13 201511
14 202010
15 20198
16 20147
17 20215
18 20245
19 19945
20
Comparación de herramientas de detección de design smells
20165

About José A. Taboada

José A. Taboada is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Software and Computer Networks and Communications, having authored 40 papers that have together received 532 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers), Data Management and Algorithms (4 papers), Software Engineering Techniques and Practices (3 papers), Geographic Information Systems Studies (3 papers), Advanced Database Systems and Queries (3 papers), AI-based Problem Solving and Planning (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Software (99 citations), Anesthesiology and Pain Medicine (78 citations), Health Information Management (38 citations), Virology (37 citations) and Information Systems (171 citations). José A. Taboada has collaborated with scholars based in Spain, United States and Jordan. Frequent co-authors include Yania Crespo, Ronald D. Miller, Stephen M. Rupp, F. Fraga, Lisardo Núñez, José R. R. Viqueira, José M. Cotos, Manuel Fernández-Delgado, Roy Cronnelly and Carlos Ordońẽz. Their work appears in journals such as Journal of Applied Polymer Science, IEEE Access, Anesthesiology, Software Quality Journal and Future Generation Computer 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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