G. Merino
- Computer Networks and Communications
- Information Systems
- Information Systems and Management
- Astronomy and Astrophysics
- Nuclear and High Energy Physics
- Co-authors
- R. Graciani DiazVíctor Méndez MuñozA Casajús RamoV. Fernandez AlborDavid SchultzBenedikt RiedelTomás F. PenaE. Lanciotti
- Topics
- Distributed and Parallel Computing Systems (6 papers)Scientific Computing and Data Management (5 papers)Particle Detector Development and Performance (2 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
- Partner nations
- SpainUnited StatesSwitzerland
In The Last Decade
G. Merino
10 papers receiving 39 citations
Peers
Comparison fields: 5 of 22
- Computer Networks and Communications 30
- Information Systems 19
- Information Systems and Management 12
- Astronomy and Astrophysics 4
- Nuclear and High Energy Physics 4
Countries citing papers authored by G. Merino
This map shows the geographic impact of G. Merino'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. Merino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Merino more than expected).
Fields of papers citing papers by G. Merino
This network shows the impact of papers produced by G. Merino. 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. Merino. The network helps show where G. Merino may publish in the future.
Co-authorship network of co-authors of G. Merino
This figure shows the co-authorship network connecting the top 25 collaborators of G. Merino. A scholar is included among the top collaborators of G. Merino 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. Merino. G. Merino 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 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 1 |
About G. Merino
G. Merino is a scholar working on Structural Biology, Information Systems and Management and Computer Networks and Communications, having authored 13 papers that have together received 39 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Scientific Computing and Data Management (5 papers) and Particle Detector Development and Performance (2 papers). The work is most often cited by research in Information Systems and Management (12 citations), Computer Networks and Communications (30 citations) and Information Systems (19 citations). G. Merino has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include R. Graciani Diaz, Víctor Méndez Muñoz, A Casajús Ramo, V. Fernandez Albor, David Schultz, Benedikt Riedel, Tomás F. Pena, E. Lanciotti, Jakob Blomer and J. J. Saborido Silva. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.