David Lizcano
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- Online Learning and Analytics 5
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 17
- Blockchain Technology Applications and Security 6
- Software top 10%
- Spreadsheets and End-User Computing 7
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- Business Process Modeling and Analysis 10
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- Peer-to-Peer Network Technologies 6
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- Time Series Analysis and Forecasting 6
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- Semantic Web and Ontologies 6
David Lizcano
64 papers receiving 958 citations
Peers
Comparison fields: 5 of 111
- Computer Science Applications 322
- Information Systems 385
- Software 49
- Health Information Management 50
- Information Systems and Management 70
Countries citing papers authored by David Lizcano
This map shows the geographic impact of David Lizcano'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 David Lizcano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lizcano more than expected).
Fields of papers citing papers by David Lizcano
This network shows the impact of papers produced by David Lizcano. 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 David Lizcano. The network helps show where David Lizcano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Lizcano, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 4 | |
| 5 | 2020 | 42 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 154 | |
| 9 | 2019 | 14 | |
| 10 | Modelling Gherkin Scenarios Using UML | 2017 | 4 |
| 11 | 2017 | 4 | |
| 12 | 2016 | 18 | |
| 13 | 2014 | 10 | |
| 14 | 2014 | 12 | |
| 15 | 2013 | 2 | |
| 16 | End-User Development Success Factors and their Application to Composite Web Development Environments | 2011 | 9 |
| 17 | A new end-user composition model to empower knowledge workers to develop rich internet applications | 2011 | 10 |
| 18 | The Morfeo Open Source Community: Building Technologies of the Future Web through Open Innovation | 2009 | 1 |
| 19 | Tackling interoperability in composite applications from an enterprise mash-up perspective | 2008 | 4 |
| 20 | 2008 | 21 |
About David Lizcano
David Lizcano is a scholar working on Software, Computer Science Applications, Information Systems, Management Information Systems and Theoretical Computer Science, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (17 papers), Business Process Modeling and Analysis (10 papers), Spreadsheets and End-User Computing (7 papers), Peer-to-Peer Network Technologies (6 papers), Blockchain Technology Applications and Security (6 papers), Time Series Analysis and Forecasting (6 papers), Semantic Web and Ontologies (6 papers) and Online Learning and Analytics (5 papers). The work is most often cited by research in Computer Science Applications (322 citations), Information Systems (385 citations), Software (49 citations), Health Information Management (50 citations) and Information Systems and Management (70 citations). David Lizcano has collaborated with scholars based in Spain, Jordan and Portugal. Frequent co-authors include Juan A. Lara, María A. Martínez, Javier Soriano, Shadi Aljawarneh, Bebo White, Juan Pazos, Célia M. Q. Ramos, Nelson Matos, Genoveva López and María José Escalona. Their work appears in journals such as Foundations of Science, Sensors, Future Generation Computer Systems, Information and Software Technology and Computer Standards & Interfaces.
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.