Albert Plà
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Business Process Modeling and Analysis
Papers in
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- RNA modifications and cancer 3
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- Business Process Modeling and Analysis 3
- Co-authors
- Beatriz López (14 shared papers)Xiangfu Zhong (2 shared papers)Simon Rayner (2 shared papers)Javier Murillo (2 shared papers)Joaquím Meléndez (3 shared papers)Carles Pous (3 shared papers)Nicolas Maudet (1 shared paper)Joan Brunet (1 shared paper)
In The Last Decade
Albert Plà
19 papers receiving 226 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 61
- Management Information Systems 32
- Management Science and Operations Research 41
- Industrial and Manufacturing Engineering 20
- Health Information Management 9
Countries citing papers authored by Albert Plà
This map shows the geographic impact of Albert Plà'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 Albert Plà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Plà more than expected).
Fields of papers citing papers by Albert Plà
This network shows the impact of papers produced by Albert Plà. 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 Albert Plà. The network helps show where Albert Plà may publish in the future.
Co-authors
The 22 scholars most cited alongside Albert Plà, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 72 | |
| 2 | 2012 | 34 | |
| 3 | 2013 | 23 | |
| 4 | 2010 | 22 | |
| 5 | 2014 | 22 | |
| 6 | 2014 | 20 | |
| 7 | 2017 | 7 | |
| 8 | 2019 | 6 | |
| 9 | 2019 | 5 | |
| 10 | 2013 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2010 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2018 | 2 | |
| 15 | eXiT*CBR: A framework for case-based medical diagnosis development and experimentation. | 2008 | 1 |
| 16 | 2016 | 1 | |
| 17 | A new perspective of trust through multi-attribute auctions | 2015 | 1 |
| 18 | 2017 | 1 | |
| 19 | 2011 | 1 |
About Albert Plà
Albert Plà is a scholar working on Molecular Biology, Management Information Systems, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 229 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Petri Nets in System Modeling (3 papers), Auction Theory and Applications (3 papers), Cancer-related molecular mechanisms research (3 papers), Service-Oriented Architecture and Web Services (3 papers), RNA modifications and cancer (3 papers), Business Process Modeling and Analysis (3 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Cancer Research (61 citations), Management Information Systems (32 citations), Management Science and Operations Research (41 citations), Industrial and Manufacturing Engineering (20 citations) and Health Information Management (9 citations). Albert Plà has collaborated with scholars based in Spain, Norway and France. Frequent co-authors include Beatriz López, Xiangfu Zhong, Simon Rayner, Javier Murillo, Joaquím Meléndez, Carles Pous, Nicolas Maudet, Joan Brunet, Susanna Cirera and Taco J. Blokhuis. Their work appears in journals such as Bioinformatics, Artificial Intelligence in Medicine, Decision Support Systems, Expert Systems with Applications and PLoS Computational Biology.
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.