Jorge Werner

530 citations
11 papers · 344 indexed · h-index 6

Impact in

Papers in

Jorge Werner

11 papers receiving 309 citations

Peers

Jorge Werner
Comparison fields: 5 of 63
  • Computer Networks and Communications 208
  • Health Information Management 35
  • Information Systems 167
  • Computer Vision and Pattern Recognition 57
  • Artificial Intelligence 74
Replace Carlos Oberdan Rolim with:
Carlos Oberdan Rolim Brazil
Xuan Hung Le United States
Yonglin Ren Canada
Pravin Pawar Netherlands
Bojana Koteska North Macedonia
Charles D. Knutson United States
Harsh Kupwade Patil United States
Rao Muzamal Liaqat Pakistan
Thomas Pliakas Greece
Marion Blount United States
Jorge Werner relative to Carlos Oberdan Rolim Brazil Carlos Oberdan Rolim's profile →
Citations per field
00.5×1.5×
Carlos Oberdan Rolim · 1×
Citations per year

Countries citing papers authored by Jorge Werner

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Jorge Werner, 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 Jorge Werner Line = papers co-authored together Jorge Werner links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010261
2 201725
3
Provisioning and Resource Allocation for Green Clouds
201316
4 201116
5 20127
6 20166
7
Towards Privacy in Identity Management Dynamic Federations
20164
8 20154
9
Operation, Management, Security and Sustainability for Cloud Computing
20143
10 20171
11
Privacy Token: An Improved and Verified Mechanism for User's Privacy Specification in Identity Management Systems for the Cloud
20171

About Jorge Werner

Jorge Werner is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Management Information Systems and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 344 indexed citations. Recurring topics across this work include Cloud Data Security Solutions (6 papers), Privacy-Preserving Technologies in Data (5 papers), Cloud Computing and Resource Management (5 papers), IoT and Edge/Fog Computing (4 papers), Cryptography and Data Security (3 papers), Blockchain Technology Applications and Security (3 papers), Access Control and Trust (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Computer Networks and Communications (208 citations), Health Information Management (35 citations), Information Systems (167 citations), Computer Vision and Pattern Recognition (57 citations) and Artificial Intelligence (74 citations). Jorge Werner has collaborated with scholars based in Brazil. Frequent co-authors include Carlos Becker Westphall, Fernando Koch, Carlos Oberdan Rolim, Carla Merkle Westphall, Cédric Westphal and Daniel Ricardo dos Santos. Their work appears in journals such as Computer Networks and SHILAP Revista de lepidopterología.

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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