Germán Moltó
Impact in
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Software System Performance and Reliability
- Advanced Data Storage Technologies
- Information Systems top 1%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- Distributed and Parallel Computing Systems 36
- IoT and Edge/Fog Computing 19
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- Cloud Computing and Resource Management 37
- Blockchain Technology Applications and Security 5
- Co-authors
- Miguel Caballer (29 shared papers)Carlos Alfonso (13 shared papers)Amanda Calatrava (12 shared papers)Ignácio Blanquer (17 shared papers)Alfonso García Pérez (6 shared papers)Diana Naranjo (8 shared papers)José M. Alonso (14 shared papers)Vicente Hernández (12 shared papers)
In The Last Decade
Germán Moltó
77 papers receiving 858 citations
Peers
Comparison fields: 5 of 93
- Computer Networks and Communications 617
- Information Systems 567
- Information Systems and Management 152
- Hardware and Architecture 68
- Computer Science Applications 37
Countries citing papers authored by Germán Moltó
This map shows the geographic impact of Germán Moltó'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 Germán Moltó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Moltó more than expected).
Fields of papers citing papers by Germán Moltó
This network shows the impact of papers produced by Germán Moltó. 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 Germán Moltó. The network helps show where Germán Moltó may publish in the future.
Co-authors
The 25 scholars most cited alongside Germán Moltó, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 86 | |
| 2 | 2014 | 57 | |
| 3 | 2019 | 50 | |
| 4 | 2021 | 43 | |
| 5 | 2017 | 39 | |
| 6 | 2013 | 35 | |
| 7 | 2020 | 35 | |
| 8 | 2021 | 35 | |
| 9 | 2013 | 33 | |
| 10 | 2019 | 31 | |
| 11 | 2015 | 27 | |
| 12 | 2016 | 27 | |
| 13 | 2007 | 24 | |
| 14 | 2014 | 22 | |
| 15 | 2012 | 21 | |
| 16 | 2020 | 18 | |
| 17 | 2007 | 18 | |
| 18 | 2006 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2015 | 13 |
About Germán Moltó
Germán Moltó is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Cardiology and Cardiovascular Medicine and Computer Science Applications, having authored 83 papers that have together received 891 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (37 papers), Distributed and Parallel Computing Systems (36 papers), Scientific Computing and Data Management (26 papers), IoT and Edge/Fog Computing (19 papers), Cardiac electrophysiology and arrhythmias (11 papers), Parallel Computing and Optimization Techniques (8 papers), E-Learning and Knowledge Management (7 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (617 citations), Information Systems (567 citations), Information Systems and Management (152 citations), Hardware and Architecture (68 citations) and Computer Science Applications (37 citations). Germán Moltó has collaborated with scholars based in Spain, Italy and Mexico. Frequent co-authors include Miguel Caballer, Carlos Alfonso, Amanda Calatrava, Ignácio Blanquer, Alfonso García Pérez, Diana Naranjo, José M. Alonso, Vicente Hernández, Fernando Alvarruiz and Eloy Romero. Their work appears in journals such as Future Generation Computer Systems, Journal of Grid Computing, Journal of Systems and Software, Applied Sciences and Journal of Parallel and Distributed Computing.
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.