Pedro DeRose
Impact in
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- Data Quality and Management
- Information Systems top 5%
- Web Data Mining and Analysis
Papers in
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- Web Data Mining and Analysis 7
- Software Engineering Research 2
- Research Data Management Practices 1
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- Advanced Database Systems and Queries 5
- Co-authors
- Warren Shen (10 shared papers)AnHai Doan (9 shared papers)Raghu Ramakrishnan (8 shared papers)Robert McCann (2 shared papers)Fei Chen (2 shared papers)Fei Chen (1 shared paper)Xiaoyong Chai (4 shared papers)Mayssam Sayyadian (1 shared paper)
- Journals
- ACM SIGMOD Record (2 papers)Minds at UW (University of Wisconsin) (1 paper)Very Large Data Bases (1 paper)IEEE Data(base) Engineering Bulletin (2 papers)Conference on Innovative Data Systems Research (2 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Pedro DeRose
10 papers receiving 325 citations
Peers
Comparison fields: 5 of 31
- Management Science and Operations Research 143
- Information Systems 224
- Computer Networks and Communications 164
- Information Systems and Management 45
- Signal Processing 71
Countries citing papers authored by Pedro DeRose
This map shows the geographic impact of Pedro DeRose'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 Pedro DeRose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro DeRose more than expected).
Fields of papers citing papers by Pedro DeRose
This network shows the impact of papers produced by Pedro DeRose. 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 Pedro DeRose. The network helps show where Pedro DeRose may publish in the future.
Co-authors
The 24 scholars most cited alongside Pedro DeRose, 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 | Community Information Management. | 2006 | 69 |
| 2 | 2009 | 59 | |
| 3 | Building structured web community portals: a top-down, compositional, and incremental approach | 2007 | 58 |
| 4 | DBLife: A Community Information Management Platform for the Database Research Community (Demonstration) | 2007 | 58 |
| 5 | 2008 | 38 | |
| 6 | 2007 | 26 | |
| 7 | 2009 | 23 | |
| 8 | 2008 | 19 | |
| 9 | The Case for a Structured Approach to Managing Unstructured Data. | 2009 | 11 |
| 10 | User-Centric Research Challenges in Community Information Management Systems. | 2007 | 6 |
About Pedro DeRose
Pedro DeRose is a scholar working on Information Systems, Computer Networks and Communications, Management Science and Operations Research, Communication and Information Systems and Management, having authored 10 papers that have together received 367 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Data Quality and Management (6 papers), Advanced Database Systems and Queries (5 papers), Scientific Computing and Data Management (2 papers), Wikis in Education and Collaboration (2 papers), Software Engineering Research (2 papers), Research Data Management Practices (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Management Science and Operations Research (143 citations), Information Systems (224 citations), Computer Networks and Communications (164 citations), Information Systems and Management (45 citations) and Signal Processing (71 citations). Pedro DeRose has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Warren Shen, AnHai Doan, Raghu Ramakrishnan, Robert McCann, Fei Chen, Fei Chen, Xiaoyong Chai, Mayssam Sayyadian, Byron J. Gao and Fei Chen. Their work appears in journals such as ACM SIGMOD Record, Minds at UW (University of Wisconsin), Very Large Data Bases, IEEE Data(base) Engineering Bulletin and Conference on Innovative Data Systems Research.
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.