Sofus A. Macskassy
- Finance top 0.5%
- Accounting top 1%
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- Data Quality and Management 5
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- Complex Network Analysis Techniques 16
- Artificial Intelligence top 2%
- Text and Document Classification Technologies 7
- Topic Modeling 6
- Imbalanced Data Classification Techniques 6
- Advanced Graph Neural Networks 6
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- Spam and Phishing Detection 6
- Data Mining Algorithms and Applications 6
- Co-authors
- Paul C. TetlockMaytal Saar‐TsechanskyFoster ProvostMatthew MichelsonHaym HirshSaharon RossetArunava BanerjeeBrian D. Davison
- Journals
- The Journal of Finance (1 paper)Social Network Analysis and Mining (1 paper)Artificial Intelligence (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Sofus A. Macskassy
42 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Finance 1.2k
- Accounting 1.0k
- Management Science and Operations Research 566
- Statistical and Nonlinear Physics 403
- Artificial Intelligence 792
Countries citing papers authored by Sofus A. Macskassy
This map shows the geographic impact of Sofus A. Macskassy'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 Sofus A. Macskassy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofus A. Macskassy more than expected).
Fields of papers citing papers by Sofus A. Macskassy
This network shows the impact of papers produced by Sofus A. Macskassy. 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 Sofus A. Macskassy. The network helps show where Sofus A. Macskassy may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Sofus A. Macskassy, 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 | Joint Inference of Multiple Label Types in Large Networks | 2014 | 6 |
| 2 | Monitoring Entities in an Uncertain World: Entity Resolution and Referential Integrity. | 2011 | 2 |
| 3 | Proceedings of the Eighth Workshop on Mining and Learning with Graphs | 2010 | 4 |
| 4 | 2010 | 1 | |
| 5 | Graph Mining using Graph Pattern Profiles. | 2008 | 0 |
| 6 | 2007 | 294 | |
| 7 | Improving learning in networked data by combining explicit and mined links | 2007 | 30 |
| 8 | Significance Testing Against the Random Model for Scoring Models on Top k Predictions | 2005 | 1 |
| 9 | NetKit-SRL: A Toolkit for Network Learning and Inference | 2005 | 6 |
| 10 | Classification in Networked Data: a Toolkit and a Univariate Case Study | 2004 | 9 |
| 11 | Simple Models and Classification in Networked Data | 2004 | 6 |
| 12 | Converting Numerical Classication into Text Classication | 2003 | 1 |
| 13 | 2003 | 4 | |
| 14 | 2002 | 15 | |
| 15 | Using text classifiers for numerical classification | 2001 | 7 |
| 16 | Appears in User Modeling 2001 Workshop: Machine Learning, Information Retrieval and User Modeling Information Triage using Prospective Criteria | 2001 | 3 |
| 17 | Information Triage using Prospective Criteria | 2001 | 5 |
| 18 | EmailValet: Learning Email Preferences for Wireless Platforms | 1999 | 1 |
| 19 | Human performance on clustering web pages: a preliminary study | 1998 | 31 |
| 20 | Maintaining Information Resources. | 1997 | 2 |
About Sofus A. Macskassy
Sofus A. Macskassy is a scholar working on Statistical and Nonlinear Physics, Information Systems and Artificial Intelligence, having authored 44 papers that have together received 2.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Text and Document Classification Technologies (7 papers), Spam and Phishing Detection (6 papers), Topic Modeling (6 papers), Data Mining Algorithms and Applications (6 papers), Imbalanced Data Classification Techniques (6 papers), Advanced Graph Neural Networks (6 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Finance (1.2k citations), Accounting (1.0k citations) and Management Science and Operations Research (566 citations). Sofus A. Macskassy has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Paul C. Tetlock, Maytal Saar‐Tsechansky, Foster Provost, Matthew Michelson, Haym Hirsh, Saharon Rosset, Arunava Banerjee, Brian D. Davison, Jonathan Chang and Stanislav Funiak. Their work appears in journals such as The Journal of Finance, Social Network Analysis and Mining, Artificial Intelligence, Journal of Machine Learning Research and View.
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.