Christine Robson
- Computer Science Applications top 5%
- Artificial Intelligence
- Ecological Modeling top 10%
- Sociology and Political Science
- Information Systems
- Co-authors
- Jeffrey S. PierceEben M. HaberThomas ZimmermanSunyoung KimMarti A. HearstDaniel GruhlJoe HellersteinMeena Nagarajan
- Topics
- Web Data Mining and Analysis (5 papers)Species Distribution and Climate Change (3 papers)Data Quality and Management (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Christine Robson
15 papers receiving 256 citations
Peers
Comparison fields: 5 of 73
- Computer Science Applications 93
- Artificial Intelligence 68
- Ecological Modeling 46
- Sociology and Political Science 42
- Information Systems 41
Countries citing papers authored by Christine Robson
This map shows the geographic impact of Christine Robson'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 Christine Robson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Robson more than expected).
Fields of papers citing papers by Christine Robson
This network shows the impact of papers produced by Christine Robson. 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 Christine Robson. The network helps show where Christine Robson may publish in the future.
Co-authorship network of co-authors of Christine Robson
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Robson. A scholar is included among the top collaborators of Christine Robson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christine Robson. Christine Robson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | Using mobile technology and social networking to crowdsource citizen science | 11 |
| 3 | 143 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 15 | |
| 7 | Teaching music in primary schools | 1 |
| 8 | Artist Ranking Through Analysis of On-line Community Comments | 10 |
| 9 | Artist Ranking Through Analysis of On-line Community Comments "U R SO BAD!" and other compliments. . . | 1 |
| 10 | 11 | |
| 11 | 1 | |
| 12 | A Model-based Comparative Study of Traceability Systems | 8 |
| 13 | 6 | |
| 14 | 21 | |
| 15 | 1 |
About Christine Robson
Christine Robson is a scholar working on Ecological Modeling, Computer Science Applications and Music, having authored 15 papers that have together received 279 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (5 papers), Species Distribution and Climate Change (3 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Computer Science Applications (93 citations), Ecological Modeling (46 citations) and Transportation (39 citations). Christine Robson has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jeffrey S. Pierce, Eben M. Haber, Thomas Zimmerman, Sunyoung Kim, Marti A. Hearst, Daniel Gruhl, Joe Hellerstein, Meena Nagarajan, Nachiketa Sahoo and Meenakshi Nagarajan. Their work appears in journals such as Journal of Dental Research, IEEE Transactions on Magnetics and The VLDB Journal.
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.