Justinian Rosca
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Music and Audio Processing
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
Papers in
-
- Speech and Audio Processing 19
- Blind Source Separation Techniques 16
- Music and Audio Processing 4
-
- Evolutionary Algorithms and Applications 11
- Metaheuristic Optimization Algorithms Research 9
- Reinforcement Learning in Robotics 6
- Neural Networks and Applications 6
- Co-authors
- Dana H. Ballard (5 shared papers)Pau Bofill (1 shared paper)Emmanuel Vincent (1 shared paper)Hiroshi Sawada (1 shared paper)Shoji Makino (1 shared paper)Liviu Iftode (1 shared paper)Tamer Nadeem (2 shared papers)Pravin Shankar (1 shared paper)
- Journals
- International Journal of Imaging Systems and Technology (1 paper)Manufacturing Letters (1 paper)IEEE Design and Test (1 paper)Pattern Recognition (1 paper)The Journal of the Acoustical Society of America (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Justinian Rosca
50 papers receiving 706 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 242
- Artificial Intelligence 353
- Computational Mechanics 124
- Computer Networks and Communications 126
- Computational Theory and Mathematics 57
Countries citing papers authored by Justinian Rosca
This map shows the geographic impact of Justinian Rosca'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 Justinian Rosca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justinian Rosca more than expected).
Fields of papers citing papers by Justinian Rosca
This network shows the impact of papers produced by Justinian Rosca. 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 Justinian Rosca. The network helps show where Justinian Rosca may publish in the future.
Co-authors
The 25 scholars most cited alongside Justinian Rosca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 150 | |
| 2 | Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications | 1995 | 85 |
| 3 | 2008 | 82 | |
| 4 | 2011 | 54 | |
| 5 | 1994 | 46 | |
| 6 | Causality in Genetic Programming | 1995 | 36 |
| 7 | Genetic Programming with Adaptive Representations | 1994 | 34 |
| 8 | 1995 | 33 | |
| 9 | Hierarchical learning with procedural abstraction mechanisms | 1997 | 29 |
| 10 | 2007 | 17 | |
| 11 | Complexity Drift in Evolutionary Computation with Tree Representations | 1996 | 16 |
| 12 | 2007 | 12 | |
| 13 | 2003 | 11 | |
| 14 | CEPSTRUM-LIKE ICA REPRESENTATIONS FOR TEXT INDEPENDENT SPEAKER RECOGNITION | 2003 | 11 |
| 15 | Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies | 2021 | 9 |
| 16 | ROBUSTNESS OF PARAMETRIC SOURCE DEMIXING IN ECHOIC ENVIRONMENTS | 2001 | 9 |
| 17 | BLIND SOURCE SEPARATION BASED ON SPACE-TIME-FREQUENCY DIVERSITY | 2003 | 9 |
| 18 | 2006 | 8 | |
| 19 | An Analysis of Hierarchical Genetic Programming | 1995 | 8 |
| 20 | 2023 | 8 |
About Justinian Rosca
Justinian Rosca is a scholar working on Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering, Computational Mechanics and Control and Systems Engineering, having authored 50 papers that have together received 761 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Blind Source Separation Techniques (16 papers), Evolutionary Algorithms and Applications (11 papers), Metaheuristic Optimization Algorithms Research (9 papers), Advanced Adaptive Filtering Techniques (6 papers), Reinforcement Learning in Robotics (6 papers), Neural Networks and Applications (6 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (242 citations), Artificial Intelligence (353 citations), Computational Mechanics (124 citations), Computer Networks and Communications (126 citations) and Computational Theory and Mathematics (57 citations). Justinian Rosca has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dana H. Ballard, Pau Bofill, Emmanuel Vincent, Hiroshi Sawada, Shoji Makino, Liviu Iftode, Tamer Nadeem, Pravin Shankar, Radu Bălan and Juan Aparicio. Their work appears in journals such as International Journal of Imaging Systems and Technology, Manufacturing Letters, IEEE Design and Test, Pattern Recognition and The Journal of the Acoustical Society of America.
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.