Tânia M. Lima
- Industrial and Manufacturing Engineering top 2%
- Plant Science top 10%
- Management Information Systems top 5%
- Strategy and Management top 10%
- Biomedical Engineering
- Co-authors
- Pedro Dinis GasparJoel AlvesFernando Charrua-SantosKhadijeh AlibabaeiDenis A. CoelhoPedro Dinho da SilvaDaisy Valle EnriqueCarlos M. Lopes
- Topics
- Digital Transformation in Industry (11 papers)Quality and Supply Management (10 papers)Musculoskeletal pain and rehabilitation (10 papers)
- Cited by
- Medical Laboratory TechnologyIndustrial and Manufacturing EngineeringManagement Information Systems
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionSustainability
- Partner nations
- PortugalBrazilUnited States
In The Last Decade
Tânia M. Lima
63 papers receiving 947 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Industrial and Manufacturing Engineering 277
- Plant Science 177
- Management Information Systems 106
- Strategy and Management 97
- Biomedical Engineering 79
Countries citing papers authored by Tânia M. Lima
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
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-authorship network of co-authors of Tânia M. Lima
This figure shows the co-authorship network connecting the top 25 collaborators of Tânia M. Lima. A scholar is included among the top collaborators of Tânia M. Lima 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 Tânia M. Lima. Tânia M. Lima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | Is Industry 5.0 a Human-Centred Approach? A Systematic Reviewbreakdown → | 143 |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 21 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 17 |
About Tânia M. Lima
Tânia M. Lima is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Management Information Systems, having authored 66 papers that have together received 995 indexed citations. Recurring topics across this work include Digital Transformation in Industry (11 papers), Quality and Supply Management (10 papers) and Musculoskeletal pain and rehabilitation (10 papers). The work is most often cited by research in Medical Laboratory Technology (43 citations), Industrial and Manufacturing Engineering (277 citations) and Management Information Systems (106 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 SHILAP Revista de lepidopterología, Journal of Cleaner Production and Sustainability.
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.