Fernando Juliani

480 citations
10 papers · 142 · h-index 6

Impact in

Papers in

Fernando Juliani

10 papers receiving 137 citations

Peers

Fernando Juliani
Comparison fields: 5 of 52
  • Management Information Systems 91
  • Strategy and Management 68
  • Medical Laboratory Technology 6
  • Public Administration 12
  • Management Science and Operations Research 30
Replace Donna Cullen with:
Donna Cullen United Kingdom
John Innes United Kingdom
Tommaso Pardi France
Richard Schröder Australia
Hussam Mohd Al-Shorman Jordan
Robisom Damasceno Calado Brazil
Richard Barton United Kingdom
D. Steeple United Kingdom
István Jenei Hungary
Meike Tilebein Germany
Fernando Juliani relative to Donna Cullen United Kingdom Donna Cullen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fernando Juliani

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Juliani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Fernando Juliani, 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 Fernando Juliani Line = papers co-authored together Fernando Juliani links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201640
2 201831
3 201924
4 201720
5 20209
6 20219
7 20133
8 20243
9 20172
10 20231

About Fernando Juliani

Fernando Juliani is a scholar working on Strategy and Management, Management Information Systems, Computer Networks and Communications, Civil and Structural Engineering and Artificial Intelligence, having authored 10 papers that have together received 142 indexed citations. Recurring topics across this work include Quality and Supply Management (5 papers), Quality and Management Systems (3 papers), Supply Chain Resilience and Risk Management (3 papers), Advanced Computational Techniques and Applications (1 paper), Hydraulic and Pneumatic Systems (1 paper), Sensor Technology and Measurement Systems (1 paper), Big Data and Business Intelligence (1 paper) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Management Information Systems (91 citations), Strategy and Management (68 citations), Medical Laboratory Technology (6 citations), Public Administration (12 citations) and Management Science and Operations Research (30 citations). Fernando Juliani has collaborated with scholars based in Brazil, Portugal and Germany. Frequent co-authors include Otávio José de Oliveira, Fábio Francisco da Silva, Carlos Dias Maciel, Mauro Hugo Mathias, José Salvador da Motta Reis, Luís César Ferreira Motta Barbosa and Gilberto Santos. Their work appears in journals such as International Journal of Lean Six Sigma, International Journal of Information Management, Production Planning & Control, International Journal of Information Management Data Insights and Total Quality Management & Business Excellence.

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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