Raul V. Rodriguez

545 citations
18 papers · 227 indexed · h-index 5
Topics
Big Data and Business Intelligence (1 paper)Artificial Intelligence in Healthcare (1 paper)Biomedical Ethics and Regulation (1 paper)
Journals
SHILAP Revista de lepidopterologíaSensorsThe International Journal of Management Education

In The Last Decade

Raul V. Rodriguez

13 papers receiving 208 citations

Peers

Raul V. Rodriguez
Comparison fields: 5 of 66
  • Sociology and Political Science 118
  • Artificial Intelligence 105
  • Marketing 45
  • Information Systems and Management 29
  • Management Information Systems 20
Replace Muhammad Asif with:
Muhammad Asif Pakistan
Davinia Rodríguez Cardona Germany
Hafizah Omar Zaki Malaysia
Orla Lynskey United Kingdom
Bharati Rathore India
Salfarina Abdullah Malaysia
Stanislava Klisarova-Belcheva Bulgaria
Juliana Salvadorinho Portugal
Ali İskender United States
Renuka Mahajan India
Raul V. Rodriguez relative to Muhammad Asif Pakistan Muhammad Asif's profile →
Citations per field
00.5×10×
Muhammad Asif · 1×
Citations per year

Countries citing papers authored by Raul V. Rodriguez

Since Specialization
Citations

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

Fields of papers citing papers by Raul V. Rodriguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raul V. Rodriguez. 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 Raul V. Rodriguez. The network helps show where Raul V. Rodriguez may publish in the future.

Co-authorship network of co-authors of Raul V. Rodriguez

This figure shows the co-authorship network connecting the top 25 collaborators of Raul V. Rodriguez. A scholar is included among the top collaborators of Raul V. Rodriguez 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 Raul V. Rodriguez. Raul V. Rodriguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 6
6 1
7 2
8 18
9 0
10 0
11 2
12 1
13 7
14 1
15 11
16 4
17 171
18
Constraint propagation + relativistic time = more reliable concurrent programs
2

About Raul V. Rodriguez

Raul V. Rodriguez is a scholar working on Health Informatics, Applied Microbiology and Biotechnology and Management Information Systems, having authored 18 papers that have together received 227 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (1 paper), Artificial Intelligence in Healthcare (1 paper) and Biomedical Ethics and Regulation (1 paper). The work is most often cited by research in Health Informatics (17 citations), Marketing (45 citations) and Information Systems and Management (29 citations). Raul V. Rodriguez has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Samala Nagaraj, Raja Shekhar Bellamkonda, Wagner Júnior Ladeira, Naveed Yasin, Raouf Ahmad Rather, Sayantan Khanra, Md. Wahid Murad, Fernando de Oliveira Santini, M.S. Balaji and Tareq Rasul. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and The International Journal of Management Education.

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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