Adriane Chapman
Impact in
- Information Systems and Management top 0.5%
- Scientific Computing and Data Management
- Health Informatics top 5%
Papers in
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- Scientific Computing and Data Management 32
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- Research Data Management Practices 25
- Co-authors
- H. V. Jagadish (9 shared papers)Peter Buneman (1 shared paper)James Cheney (1 shared paper)Cong Yu (5 shared papers)Prakash Ramanan (1 shared paper)Magesh Jayapandian (3 shared papers)Aaron Elkiss (2 shared papers)Arnab Nandi (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (4 papers)Nucleic Acids Research (2 papers)The VLDB Journal (1 paper)PeerJ Computer Science (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Adriane Chapman
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 133
- Information Systems and Management 520
- Health Informatics 45
- Computer Networks and Communications 710
- Signal Processing 296
- Information Systems 472
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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 230 | |
| 2 | 2006 | 170 | |
| 3 | 2007 | 149 | |
| 4 | 2008 | 126 | |
| 5 | 2021 | 121 | |
| 6 | 2006 | 100 | |
| 7 | 2009 | 98 | |
| 8 | 2008 | 78 | |
| 9 | 2022 | 42 | |
| 10 | 2022 | 39 | |
| 11 | 2014 | 26 | |
| 12 | Scalable access controls for lineage | 2009 | 22 |
| 13 | 2003 | 21 | |
| 14 | 2007 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2023 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2021 | 16 | |
| 19 | 2011 | 14 | |
| 20 | 2011 | 13 |
About Adriane Chapman
Adriane Chapman is a scholar working on Information Systems and Management, Information Systems, Computer Networks and Communications, Artificial Intelligence and Management Science and Operations Research, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (32 papers), Research Data Management Practices (25 papers), Distributed and Parallel Computing Systems (14 papers), Data Quality and Management (11 papers), Ethics and Social Impacts of AI (6 papers), Semantic Web and Ontologies (6 papers), Advanced Database Systems and Queries (6 papers) and Artificial Intelligence in Healthcare and Education (5 papers). The work is most often cited by research in Information Systems and Management (520 citations), Health Informatics (45 citations), Computer Networks and Communications (710 citations), Signal Processing (296 citations) and Information Systems (472 citations). Adriane Chapman has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include H. V. Jagadish, Peter Buneman, James Cheney, Cong Yu, Prakash Ramanan, Magesh Jayapandian, Aaron Elkiss, Arnab Nandi, Yuqing Wu and Divesh Srivastava. Their work appears in journals such as Proceedings of the VLDB Endowment, Nucleic Acids Research, The VLDB Journal, PeerJ Computer Science and Communications of the ACM.
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.