Pau Moreno
Impact in
- Computer Science Applications top 10%
- E-Learning and Knowledge Management
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- Hormonal and reproductive studies
Papers in
- Surgery 13
- Bariatric Surgery and Outcomes 8
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- Adipose Tissue and Metabolism 3
- Diet and metabolism studies 3
- Co-authors
- Manel Puig‐Domingo (12 shared papers)José M. Balibrea (13 shared papers)Sílvia Pellitero (16 shared papers)María Luisa Granada (6 shared papers)Eva Martínez (13 shared papers)A Alastrué (3 shared papers)Assumpta Serra (2 shared papers)R. Romero (2 shared papers)
- Journals
- Obesity Surgery (5 papers)European Journal of Endocrinology (3 papers)The American Journal of Surgery (2 papers)Obesity (1 paper)The European Journal of Surgery (1 paper)
- Partner nations
- SpainUnited StatesColombia
In The Last Decade
Pau Moreno
28 papers receiving 414 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 31
- Endocrinology, Diabetes and Metabolism 82
- Surgery 178
- Physiology 91
- Pharmacy 12
Countries citing papers authored by Pau Moreno
This map shows the geographic impact of Pau Moreno'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 Pau Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pau Moreno more than expected).
Fields of papers citing papers by Pau Moreno
This network shows the impact of papers produced by Pau Moreno. 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 Pau Moreno. The network helps show where Pau Moreno may publish in the future.
Co-authors
The 25 scholars most cited alongside Pau Moreno, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 97 | |
| 2 | 2017 | 47 | |
| 3 | 2013 | 43 | |
| 4 | 2017 | 42 | |
| 5 | 1998 | 30 | |
| 6 | 2014 | 24 | |
| 7 | 2019 | 21 | |
| 8 | 2011 | 21 | |
| 9 | 2013 | 14 | |
| 10 | 2015 | 12 | |
| 11 | 2003 | 12 | |
| 12 | 2017 | 6 | |
| 13 | 1999 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2002 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2021 | 3 |
About Pau Moreno
Pau Moreno is a scholar working on Surgery, Physiology, Computer Vision and Pattern Recognition, Epidemiology and Developmental and Educational Psychology, having authored 32 papers that have together received 424 indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (8 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diet and metabolism studies (3 papers), E-Learning and Knowledge Management (2 papers), Wikis in Education and Collaboration (2 papers), Innovative Teaching and Learning Methods (2 papers) and Augmented Reality Applications (2 papers). The work is most often cited by research in Computer Science Applications (31 citations), Endocrinology, Diabetes and Metabolism (82 citations), Surgery (178 citations), Physiology (91 citations) and Pharmacy (12 citations). Pau Moreno has collaborated with scholars based in Spain, United States and Colombia. Frequent co-authors include Manel Puig‐Domingo, José M. Balibrea, Sílvia Pellitero, María Luisa Granada, Eva Martínez, A Alastrué, Assumpta Serra, R. Romero, Maruja Navarro-Díaz and Davinia Hernández‐Leo. Their work appears in journals such as Obesity Surgery, European Journal of Endocrinology, The American Journal of Surgery, Obesity and The European Journal of Surgery.
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.