G. Salamunićcar
- Astronomy and Astrophysics top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Atmospheric Science
- Archeology top 5%
- Co-authors
- Sven LončarićE. MazaricoL. BandeiraPedro PinaJosé SaraivaA. GrumpeChristian WöhlerJ. Saraiva
- Topics
- Planetary Science and Exploration (38 papers)Astro and Planetary Science (28 papers)Space Exploration and Technology (16 papers)
- Cited by
- Astronomy and AstrophysicsComputer Vision and Pattern RecognitionSpace and Planetary Science
- Journals
- IEEE Transactions on Geoscience and Remote SensingPlanetary and Space ScienceAdvances in Space Research
- Partner nations
- CroatiaUnited StatesGermany
In The Last Decade
G. Salamunićcar
46 papers receiving 396 citations
Peers
Comparison fields: 5 of 28
- Astronomy and Astrophysics 368
- Computer Vision and Pattern Recognition 164
- Aerospace Engineering 99
- Atmospheric Science 45
- Archeology 42
Countries citing papers authored by G. Salamunićcar
This map shows the geographic impact of G. Salamunićcar'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 G. Salamunićcar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Salamunićcar more than expected).
Fields of papers citing papers by G. Salamunićcar
This network shows the impact of papers produced by G. Salamunićcar. 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 G. Salamunićcar. The network helps show where G. Salamunićcar may publish in the future.
Co-authorship network of co-authors of G. Salamunićcar
This figure shows the co-authorship network connecting the top 25 collaborators of G. Salamunićcar. A scholar is included among the top collaborators of G. Salamunićcar 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 G. Salamunićcar. G. Salamunićcar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Global Crater Catalogues of the Moon, Mars and Phobos | 1 |
| 2 | Best-Fit Biaxial Ellipsoid Shape of (4) Vesta, Crater Detection from Digital Topography and Comparison with Martian, Lunar and Mercurian Craters | 2 |
| 3 | Crater Detection from Venus Digital Topography and Comparison with Martian and Lunar Craters. | 2 |
| 4 | Impact Melt Volume Estimates of Small- to Medium-Sized Lunar Craters from Lunar Reconnaissance Orbiter Data | 2 |
| 5 | Machine Detection and Global Catalog of Phobos Craters | 3 |
| 6 | Test-Field for Evaluation of Laboratory Craters Using Interpolation-Based Crater Detection Algorithm and Comparison with Martian Impact Craters | 1 |
| 7 | Laboratory Craters and their Comparison with Craters from GT-115225 Global Catalogue of Martian Impact Craters | 1 |
| 8 | Application of machine learning using support vector machines for crater detection from Martian digital topography data | 5 |
| 9 | Basic Principles and Prototype of Crater Detection Algorithm for Detection of Craters from Global Mosaics of Visual Images for the Whole Mars | 2 |
| 10 | 3D Topography of Laboratory Craters and their Comparison with Martian Impact Craters | 1 |
| 11 | Morphometry, Votes-Analysis and Calibration Improvements of Crater Detection Algorithms Based on Edge Detectors and Radon/Hough Transform | 2 |
| 12 | Crater Detection Algorithms Based on Prewitt, Abdou, Argyle, Macleod, Derivative-of-Gaussian and Canny Gradient Edge Detectors | 3 |
| 13 | Gradient Amplification and Gradient Orientation Improvements of Crater Detection Algorithms Based on Edge Detectors and Radon/Hough Transform | 2 |
| 14 | Extensions of the framework for evaluation of crater detection algorithms: new ground truth catalogue with 57633 craters, additional subsystems and evaluations | 3 |
| 15 | From Cross-Analysis Using Ground Truth Catalogue of Martian Craters Towards New Generation of Catalogues of Craters | 1 |
| 16 | Estimation of Ground Truth for Evaluation of Crater Detection Algorithms | 1 |
| 17 | Estimation of False Detections for Evaluation of Crater Detection Algorithms | 3 |
| 18 | Topography Profile Diagrams of Mars: Algorithms for Computing Altitude of Craters | 1 |
| 19 | Topography Profile Diagrams of Mars: A Step Toward the Formal Proof of Martian Ocean Recession, Timing and Probability | 2 |
| 20 | Possible lava flows on the red planet: the key for the mathematical approach in computing how deep Martian oceans were during each period of the planet history | 2 |
About G. Salamunićcar
G. Salamunićcar is a scholar working on Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 47 papers that have together received 428 indexed citations. Recurring topics across this work include Planetary Science and Exploration (38 papers), Astro and Planetary Science (28 papers) and Space Exploration and Technology (16 papers). The work is most often cited by research in Astronomy and Astrophysics (368 citations), Computer Vision and Pattern Recognition (164 citations) and Space and Planetary Science (8 citations). G. Salamunićcar has collaborated with scholars based in Croatia, United States and Germany. Frequent co-authors include Sven Lončarić, E. Mazarico, L. Bandeira, Pedro Pina, José Saraiva, A. Grumpe, Christian Wöhler, J. Saraiva, O. S. Barnouin and Dejan Vinković. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Planetary and Space Science and Advances in Space Research.
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.