Danesh Irani
Impact in
- Information Systems top 2%
- Spam and Phishing Detection
- Artificial Intelligence top 5%
- Internet Traffic Analysis and Secure E-voting
- Sentiment Analysis and Opinion Mining
Papers in
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- Spam and Phishing Detection 11
- Web Data Mining and Analysis 4
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- Internet Traffic Analysis and Secure E-voting 5
- Text and Document Classification Technologies 3
- Co-authors
- Calton Pu (15 shared papers)Steve Webb (6 shared papers)Wang De (2 shared papers)Wang De (4 shared papers)Kang Li (1 shared paper)De Wang (2 shared papers)Jonathon Giffin (1 shared paper)Shamkant B. Navathe (1 shared paper)
- Journals
- Social Network Analysis and Mining (1 paper)ACM Transactions on Internet Technology (1 paper)IEEE Internet Computing (1 paper)International Journal of Cooperative Information Systems (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
Danesh Irani
15 papers receiving 428 citations
Peers
Comparison fields: 5 of 37
- Information Systems 325
- Artificial Intelligence 263
- Signal Processing 78
- Computer Networks and Communications 166
- Communication 29
Countries citing papers authored by Danesh Irani
This map shows the geographic impact of Danesh Irani'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 Danesh Irani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danesh Irani more than expected).
Fields of papers citing papers by Danesh Irani
This network shows the impact of papers produced by Danesh Irani. 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 Danesh Irani. The network helps show where Danesh Irani may publish in the future.
Co-authors
The 16 scholars most cited alongside Danesh Irani, 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 | 2009 | 66 | |
| 2 | 2011 | 59 | |
| 3 | 2011 | 52 | |
| 4 | 2013 | 49 | |
| 5 | 2012 | 43 | |
| 6 | Study of Trend-Stuffing on Twitter through Text Classification | 2010 | 40 |
| 7 | 2008 | 37 | |
| 8 | 2010 | 27 | |
| 9 | 2013 | 25 | |
| 10 | 2014 | 18 | |
| 11 | 2010 | 11 | |
| 12 | 2007 | 11 | |
| 13 | 2020 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2014 | 5 |
About Danesh Irani
Danesh Irani is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science and Signal Processing, having authored 15 papers that have together received 455 indexed citations. Recurring topics across this work include Spam and Phishing Detection (11 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Web Data Mining and Analysis (4 papers), Misinformation and Its Impacts (3 papers), Text and Document Classification Technologies (3 papers), Network Security and Intrusion Detection (3 papers), Caching and Content Delivery (2 papers) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Information Systems (325 citations), Artificial Intelligence (263 citations), Signal Processing (78 citations), Computer Networks and Communications (166 citations) and Communication (29 citations). Danesh Irani has collaborated with scholars based in United States and Brazil. Frequent co-authors include Calton Pu, Steve Webb, Wang De, Wang De, Kang Li, Kang Li, De Wang, Kang Li, Jonathon Giffin and Shamkant B. Navathe. Their work appears in journals such as Social Network Analysis and Mining, ACM Transactions on Internet Technology, IEEE Internet Computing, International Journal of Cooperative Information Systems and Proceedings of the International AAAI Conference on Web and Social Media.
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.