Robert McCann
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Information Systems top 10%
- Web Data Mining and Analysis
- Spam and Phishing Detection
Papers in
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- Semantic Web and Ontologies 3
-
- Mobile Crowdsensing and Crowdsourcing 1
- Co-authors
- AnHai Doan (9 shared papers)Warren Shen (4 shared papers)Jeffrey F. Naughton (1 shared paper)Jignesh M. Patel (1 shared paper)Arun Kumar (1 shared paper)Pedro DeRose (2 shared papers)Raghu Ramakrishnan (2 shared papers)Hoa T. Nguyen (1 shared paper)
- Journals
- ACM SIGMOD Record (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (1 paper)Proceedings - ACM-SIGMOD International Conference on Management of Data (1 paper)National Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Robert McCann
14 papers receiving 418 citations
Peers
Comparison fields: 5 of 23
- Computer Science Applications 19
- Information Systems 76
- Artificial Intelligence 94
- Information Systems and Management 14
- Computer Networks and Communications 48
Countries citing papers authored by Robert McCann
This map shows the geographic impact of Robert McCann'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 Robert McCann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert McCann more than expected).
Fields of papers citing papers by Robert McCann
This network shows the impact of papers produced by Robert McCann. 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 Robert McCann. The network helps show where Robert McCann may publish in the future.
Co-authors
The 16 scholars most cited alongside Robert McCann, 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 | 2016 | 89 | |
| 2 | 2008 | 80 | |
| 3 | Community Information Management. | 2006 | 68 |
| 4 | Mapping maintenance for data integration systems | 2005 | 53 |
| 5 | 2008 | 35 | |
| 6 | Building Data Integration Systems via Mass Collaboration | 2003 | 26 |
| 7 | 2019 | 26 | |
| 8 | Building data integration systems: a mass collaboration approach | 2003 | 23 |
| 9 | 2005 | 20 | |
| 10 | Improve Spam Filtering by Detecting Gray Mail. | 2007 | 18 |
| 11 | 2025 | 10 | |
| 12 | Personalized Spam Filtering for Gray Mail. | 2008 | 9 |
| 13 | Efficient data integration: automation, collaboration, and relaxation | 2007 | 3 |
| 14 | Collaborative Development of Information Integration Systems. | 2005 | 1 |
About Robert McCann
Robert McCann is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Computer Networks and Communications and Nuclear Energy and Engineering, having authored 14 papers that have together received 461 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (3 papers), Network Security and Intrusion Detection (2 papers), Spam and Phishing Detection (2 papers) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Computer Science Applications (19 citations), Information Systems (76 citations), Artificial Intelligence (94 citations), Information Systems and Management (14 citations) and Computer Networks and Communications (48 citations). Robert McCann has collaborated with scholars based in United States. Frequent co-authors include AnHai Doan, Warren Shen, Jeffrey F. Naughton, Jignesh M. Patel, Arun Kumar, Pedro DeRose, Raghu Ramakrishnan, Hoa T. Nguyen, Mayssam Sayyadian and Bedoor AlShebli. Their work appears in journals such as ACM SIGMOD Record, IEEE International Conference on Acoustics Speech and Signal Processing, Proceedings - ACM-SIGMOD International Conference on Management of Data, National Conference on Artificial Intelligence and arXiv (Cornell University).
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.