Henri Luchian
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Ocean Engineering
- Mechanical Engineering
- Computer Networks and Communications
- Co-authors
- Mihaela BreabanConstantin CrânganuElena BãutuBen PaechterA. CummingDragoş Teodor GavriluţByoung‐Tak ZhangMichael Emmerich
- Topics
- Metaheuristic Optimization Algorithms Research (10 papers)Evolutionary Algorithms and Applications (10 papers)Neural Networks and Applications (6 papers)
- Partner nations
- RomaniaUnited KingdomUnited States
In The Last Decade
Henri Luchian
22 papers receiving 190 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 101
- Computer Vision and Pattern Recognition 33
- Ocean Engineering 33
- Mechanical Engineering 27
- Computer Networks and Communications 23
Countries citing papers authored by Henri Luchian
This map shows the geographic impact of Henri Luchian'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 Henri Luchian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henri Luchian more than expected).
Fields of papers citing papers by Henri Luchian
This network shows the impact of papers produced by Henri Luchian. 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 Henri Luchian. The network helps show where Henri Luchian may publish in the future.
Co-authorship network of co-authors of Henri Luchian
This figure shows the co-authorship network connecting the top 25 collaborators of Henri Luchian. A scholar is included among the top collaborators of Henri Luchian 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 Henri Luchian. Henri Luchian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 0 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | Statistical protection for statistical databases | 1 |
About Henri Luchian
Henri Luchian is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 32 papers that have together received 206 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (10 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (101 citations), Ocean Engineering (33 citations) and Management Science and Operations Research (21 citations). Henri Luchian has collaborated with scholars based in Romania, United Kingdom and United States. Frequent co-authors include Mihaela Breaban, Constantin Crânganu, Elena Bãutu, Ben Paechter, A. Cumming, Dragoş Teodor Gavriluţ, Byoung‐Tak Zhang, Michael Emmerich, Daniel Stamate and Pierrick Legrand. Their work appears in journals such as Pattern Recognition, Solid State Communications and physica status solidi (b).
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.