Ricardo Lüders
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Automotive Engineering top 10%
- Transportation top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Keiko V. O. FonsecaMyriam DelgadoMarcelo de Oliveira RosaCarolina P. AlmeidaRichard A. GonçalvesSandra M. VenskeBelaïd AhiodMarkus Wagner
- Topics
- Metaheuristic Optimization Algorithms Research (13 papers)Human Mobility and Location-Based Analysis (9 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)
In The Last Decade
Ricardo Lüders
49 papers receiving 481 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 116
- Industrial and Manufacturing Engineering 114
- Automotive Engineering 109
- Transportation 106
- Computational Theory and Mathematics 102
Countries citing papers authored by Ricardo Lüders
This map shows the geographic impact of Ricardo Lüders'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 Ricardo Lüders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Lüders more than expected).
Fields of papers citing papers by Ricardo Lüders
This network shows the impact of papers produced by Ricardo Lüders. 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 Ricardo Lüders. The network helps show where Ricardo Lüders may publish in the future.
Co-authorship network of co-authors of Ricardo Lüders
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Lüders. A scholar is included among the top collaborators of Ricardo Lüders 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 Ricardo Lüders. Ricardo Lüders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 24 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | 1 |
About Ricardo Lüders
Ricardo Lüders is a scholar working on Transportation, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 49 papers that have together received 496 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Human Mobility and Location-Based Analysis (9 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). The work is most often cited by research in Transportation (106 citations), Industrial and Manufacturing Engineering (114 citations) and Automotive Engineering (109 citations). Ricardo Lüders has collaborated with scholars based in Brazil, Spain and Australia. Frequent co-authors include Keiko V. O. Fonseca, Myriam Delgado, Marcelo de Oliveira Rosa, Carolina P. Almeida, Richard A. Gonçalves, Sandra M. Venske, Belaïd Ahiod, Markus Wagner, Thiago H. Silva and Adalberto Sato Michels. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Applied Soft Computing.
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.