Tânia M. Lima

65 papers receiving 1.0k citations

Tânia M. Lima's Hit Papers

Is Industry 5.0 a Human-Centred Approach? A Systematic Review 2023 · 154 citations
1540+1+2Years since publication50100150

Peers

Tânia M. Lima
Comparison fields: 5 of 126
  • Medical Laboratory Technology 40
  • Industrial and Manufacturing Engineering 286
  • Management Information Systems 108
  • Radiological and Ultrasound Technology 37
  • Strategy and Management 100
Replace Raffaele Iannone with:
Raffaele Iannone Italy
Stefano Riemma Italy
Julio Blanco‐Fernández Spain
Claudia Paciarotti Italy
Giulio Paolo Agnusdei Italy
Zhenzhen He China
Luca Silvestri Italy
Giovanni Mazzuto Italy
Fernando Gonçalves Amaral Brazil
Yingyu Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Tânia M. Lima

Since Specialization
Citations

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

Fields of papers citing papers by Tânia M. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tânia M. Lima. 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 Tânia M. Lima. The network helps show where Tânia M. Lima may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Is Industry 5.0 a Human-Centred Approach? A Systematic Review
Hit paper breakdown →
2023154
2 2020105
3 202186
4 202263
5 202250
6 202250
7 202249
8 202140
9 202128
10 202027
11 202126
12 202224
13 202024
14 202121
15 202221
16 201817
17 202017
18 202215
19 202113
20 202213

About Tânia M. Lima

Tânia M. Lima is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Pharmacology, Social Psychology and Strategy and Management, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Transformation in Industry (11 papers), Quality and Supply Management (10 papers), Musculoskeletal pain and rehabilitation (9 papers), Ergonomics and Musculoskeletal Disorders (8 papers), Occupational health in dentistry (5 papers), Smart Agriculture and AI (5 papers), Ergonomics and Human Factors (4 papers) and Air Quality Monitoring and Forecasting (4 papers). The work is most often cited by research in Medical Laboratory Technology (40 citations), Industrial and Manufacturing Engineering (286 citations), Management Information Systems (108 citations), Radiological and Ultrasound Technology (37 citations) and Strategy and Management (100 citations). Tânia M. Lima has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include Pedro Dinis Gaspar, Joel Alves, Fernando Charrua-Santos, Khadijeh Alibabaei, Denis A. Coelho, Pedro Dinho da Silva, Daisy Valle Enrique, Carlos M. Lopes, Gerardo J. Osório and Walid Barhoumi. Their work appears in journals such as Applied Sciences, Sustainability, Journal of the Science of Food and Agriculture, Theoretical Issues in Ergonomics Science and Electronics.

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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