Adriane Chapman
Impact in
- Information Systems and Management top 0.5%
- Scientific Computing and Data Management
- Health Informatics top 5%
Papers in
-
- Scientific Computing and Data Management 31
-
- Artificial Intelligence in Healthcare and Education 4
- Co-authors
- H. V. JagadishJames CheneyPeter BunemanCong YuPrakash RamananMagesh JayapandianAaron ElkissArnab Nandi
- Journals
- Proceedings of the VLDB Endowment (4 papers)Nucleic Acids Research (2 papers)Journal of Diabetes Science and Technology (1 paper)Distributed and Parallel Databases (1 paper)IEEE Transactions on Multimedia (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Adriane Chapman
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 139
- Information Systems and Management 517
- Health Informatics 46
- Computer Networks and Communications 708
- Signal Processing 293
- Information Systems 469
Countries citing papers authored by Adriane Chapman
This map shows the geographic impact of Adriane Chapman'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 Adriane Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriane Chapman more than expected).
Fields of papers citing papers by Adriane Chapman
This network shows the impact of papers produced by Adriane Chapman. 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 Adriane Chapman. The network helps show where Adriane Chapman may publish in the future.
Co-authors
The 25 scholars most cited alongside Adriane Chapman, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2022 | 31 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 2 | |
| 11 | 2018 | 11 | |
| 12 | Extending the FHIR standard to handle provenance | 2016 | 1 |
| 13 | Assessing the Use of Multi-indication Medicines: A Review of Current Data Capabilities in the UK | 2015 | 1 |
| 14 | Provenance: Information for Shared Understanding | 2012 | 0 |
| 15 | 2011 | 14 | |
| 16 | 2008 | 78 | |
| 17 | 2007 | 19 | |
| 18 | 2006 | 100 | |
| 19 | 2003 | 21 | |
| 20 | 2003 | 2 |
About Adriane Chapman
Adriane Chapman is a scholar working on Information Systems and Management, Health Informatics, Information Systems, Computer Networks and Communications and Management Science and Operations Research, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (31 papers), Research Data Management Practices (24 papers), Distributed and Parallel Computing Systems (13 papers), Data Quality and Management (11 papers), Ethics and Social Impacts of AI (6 papers), Advanced Database Systems and Queries (6 papers), Semantic Web and Ontologies (6 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Information Systems and Management (517 citations), Health Informatics (46 citations), Computer Networks and Communications (708 citations), Signal Processing (293 citations) and Information Systems (469 citations). Adriane Chapman has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include H. V. Jagadish, James Cheney, Peter Buneman, Cong Yu, Prakash Ramanan, Magesh Jayapandian, Aaron Elkiss, Arnab Nandi, Jignesh M. Patel and Laks V. S. Lakshmanan. Their work appears in journals such as Proceedings of the VLDB Endowment, Nucleic Acids Research, Journal of Diabetes Science and Technology, Distributed and Parallel Databases and IEEE Transactions on Multimedia.
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.