Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
More Than Words: Quantifying Language to Measure Firms' Fundamentals
20081.6k citationsSofus A. Macskassy et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Sofus A. Macskassy
Since
Specialization
Citations
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 of co-authors of Sofus A. Macskassy
This figure shows the co-authorship network connecting the top 25 collaborators of Sofus A. Macskassy.
A scholar is included among the top collaborators of Sofus A. Macskassy 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 Sofus A. Macskassy. Sofus A. Macskassy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Macskassy, Sofus A.. (2021). On the Study of Social Interactions in Twitter. Proceedings of the International AAAI Conference on Web and Social Media. 6(1). 226–233.2 indexed citations
2.
Chakrabarti, Deepayan, Stanislav Funiak, Jonathan Chang, & Sofus A. Macskassy. (2014). Joint Inference of Multiple Label Types in Large Networks. International Conference on Machine Learning. 874–882.6 indexed citations
3.
Minton, Steven, et al.. (2011). Monitoring Entities in an Uncertain World: Entity Resolution and Referential Integrity..2 indexed citations
Brefeld, Ulf, Lise Getoor, & Sofus A. Macskassy. (2010). Proceedings of the Eighth Workshop on Mining and Learning with Graphs. Knowledge Discovery and Data Mining.4 indexed citations
6.
Macskassy, Sofus A., et al.. (2008). Graph Mining using Graph Pattern Profiles.. International Conference on Artificial Intelligence. 617–623.
7.
Macskassy, Sofus A.. (2007). Improving learning in networked data by combining explicit and mined links. National Conference on Artificial Intelligence. 590–595.30 indexed citations
Macskassy, Sofus A.. (2005). Significance Testing Against the Random Model for Scoring Models on Top k Predictions. The Faculty Digital Archive (New York University).1 indexed citations
10.
Macskassy, Sofus A. & Foster Provost. (2005). NetKit-SRL: A Toolkit for Network Learning and Inference.6 indexed citations
11.
Macskassy, Sofus A. & Foster Provost. (2004). Simple Models and Classification in Networked Data. The Faculty Digital Archive (New York University).6 indexed citations
12.
Macskassy, Sofus A. & Foster Provost. (2004). Classification in Networked Data: a Toolkit and a Univariate Case Study. The Faculty Digital Archive (New York University).9 indexed citations
13.
Macskassy, Sofus A., et al.. (2003). Converting Numerical Classication into Text Classication.1 indexed citations
Macskassy, Sofus A., et al.. (2001). Using text classifiers for numerical classification. International Joint Conference on Artificial Intelligence. 885–890.7 indexed citations
17.
Macskassy, Sofus A., Haym Hirsh, Foster Provost, Ramesh Sankaranarayanan, & Vasant Dhar. (2001). Appears in User Modeling 2001 Workshop: Machine Learning, Information Retrieval and User Modeling Information Triage using Prospective Criteria.3 indexed citations
18.
Macskassy, Sofus A., et al.. (1999). EmailValet: Learning Email Preferences for Wireless Platforms.1 indexed citations
19.
Macskassy, Sofus A., Arunava Banerjee, Brian D. Davison, & Haym Hirsh. (1998). Human performance on clustering web pages: a preliminary study. Knowledge Discovery and Data Mining. 264–268.31 indexed citations
20.
Macskassy, Sofus A., et al.. (1997). Maintaining Information Resources.. 0.2 indexed citations
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.