Mikel Luján
About
In The Last Decade
Mikel Luján
138 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Computer Networks and Communications 699
- Artificial Intelligence 666
- Hardware and Architecture 555
- Electrical and Electronic Engineering 552
- Computer Vision and Pattern Recognition 450
Countries citing papers authored by Mikel Luján
This map shows the geographic impact of Mikel Luján'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 Mikel Luján with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikel Luján more than expected).
Fields of papers citing papers by Mikel Luján
This network shows the impact of papers produced by Mikel Luján. 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 Mikel Luján. The network helps show where Mikel Luján may publish in the future.
Co-authorship network of co-authors of Mikel Luján
This figure shows the co-authorship network connecting the top 25 collaborators of Mikel Luján. A scholar is included among the top collaborators of Mikel Luján 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 Mikel Luján. Mikel Luján 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Conditional likelihood maximisation: a unifying framework for information theoretic feature selection breakdown → | 783 |
| 18 | Conditional Likelihood Maximisation: A Unifying Framework for Mutual Information Feature Selection | 22 |
| 19 | Informative Priors for Markov Blanket Discovery | 2 |
| 20 | 42 |
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.