Jesús L. Lobo
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Building and Construction top 10%
- Control and Systems Engineering
- Information Systems top 10%
- Co-authors
- Javier Del SerNikola KasabovIbai LañaMiren Nekane BilbaoEneko OsabaMarzena KryszkiewiczLeire Orue-EchevarriaJuncal Alonso
- Topics
- Data Stream Mining Techniques (8 papers)Software System Performance and Reliability (4 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Partner nations
- SpainNew ZealandBulgaria
In The Last Decade
Jesús L. Lobo
23 papers receiving 307 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 136
- Computer Networks and Communications 72
- Building and Construction 57
- Control and Systems Engineering 53
- Information Systems 51
Countries citing papers authored by Jesús L. Lobo
This map shows the geographic impact of Jesús L. Lobo'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 Jesús L. Lobo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús L. Lobo more than expected).
Fields of papers citing papers by Jesús L. Lobo
This network shows the impact of papers produced by Jesús L. Lobo. 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 Jesús L. Lobo. The network helps show where Jesús L. Lobo may publish in the future.
Co-authorship network of co-authors of Jesús L. Lobo
This figure shows the co-authorship network connecting the top 25 collaborators of Jesús L. Lobo. A scholar is included among the top collaborators of Jesús L. Lobo 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 Jesús L. Lobo. Jesús L. Lobo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 47 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 40 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 55 | |
| 15 | 52 | |
| 16 | 19 | |
| 17 | 26 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | Towards a Transferable and Domain-Independent Reputation Indicator to Group Students in the Collaborative Logical Framework Approach. | 1 |
About Jesús L. Lobo
Jesús L. Lobo is a scholar working on Health Informatics, Artificial Intelligence and Computer Networks and Communications, having authored 26 papers that have together received 318 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (8 papers), Software System Performance and Reliability (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Transportation (35 citations), Building and Construction (57 citations) and Artificial Intelligence (136 citations). Jesús L. Lobo has collaborated with scholars based in Spain, New Zealand and Bulgaria. Frequent co-authors include Javier Del Ser, Nikola Kasabov, Ibai Laña, Miren Nekane Bilbao, Eneko Osaba, Marzena Kryszkiewicz, Leire Orue-Echevarria, Juncal Alonso, Valentina Casola and Cristina Perfecto. Their work appears in journals such as Neurocomputing, Neural Networks 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.