Ciro Rodríguez

93 papers receiving 516 citations

Peers

Ciro Rodríguez
Comparison fields: 5 of 118
  • Computer Science Applications 41
  • Health Informatics 9
  • Computer Vision and Pattern Recognition 95
  • Artificial Intelligence 144
  • Information Systems 86
Replace Ala Abdulsalam Alarood with:
Ala Abdulsalam Alarood Saudi Arabia
Vinit Kumar Gunjan India
Vikram Bali India
Geon Heo South Korea
Maqbool Khan Pakistan
Yuji Roh South Korea
Hong Qing Yu United Kingdom
Zhong Chen China
Miguel Torres-Ruiz Mexico
Nilay Khare India
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Citations per field
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Citations per year

Countries citing papers authored by Ciro Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Ciro Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202197
2 202176
3 202218
4 202216
5 202315
6 201914
7 202014
8 201912
9
Integration Of The Enterprise Information To Facilitate Decision Making
202111
10 202011
11 202311
12 202010
13 20238
14 20208
15 20208
16 20218
17 20207
18 20217
19 20247
20 20227

About Ciro Rodríguez

Ciro Rodríguez is a scholar working on Artificial Intelligence, Information Systems, Economics and Econometrics, Computer Science Applications and Computer Networks and Communications, having authored 108 papers that have together received 556 indexed citations. Recurring topics across this work include Business, Innovation, and Economy (8 papers), Big Data and Business Intelligence (6 papers), Educational Innovations and Technology (6 papers), COVID-19 diagnosis using AI (4 papers), IoT and Edge/Fog Computing (4 papers), Online Learning and Analytics (4 papers), AI in cancer detection (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Computer Science Applications (41 citations), Health Informatics (9 citations), Computer Vision and Pattern Recognition (95 citations), Artificial Intelligence (144 citations) and Information Systems (86 citations). Ciro Rodríguez has collaborated with scholars based in Peru, India and Italy. Frequent co-authors include Doris Esenarro, Bishwajeet Pandey, Sanam Narejo, Muhammad Rizwan Anjum, Shayla Islam, Nazmus Shaker Nafi, Mohammad Kamrul Hasan, Yousef A. Baker El–Ebiary, Muhammad Shafiq and Petr Dokládal. Their work appears in journals such as Materials & Design, IEEE Access, Karbala International Journal of Modern Science, Sustainability and Computers & Security.

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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