Andrew McCallum
- Artificial Intelligence top 0.1%
- Information Systems top 0.2%
- Statistical and Nonlinear Physics top 0.5%
- Management Science and Operations Research top 0.5%
- Computer Networks and Communications top 2%
- Co-authors
- Xuerui WangDavid MimnoKamal NigamLyle UngarAndrés Corrada-EmmanuelHanna WallachEdmund M. TalleyJason D. M. Rennie
- Topics
- Topic Modeling (42 papers)Natural Language Processing Techniques (19 papers)Web Data Mining and Analysis (15 papers)
- Journals
- Artificial IntelligenceJournal of Chemical Information and ModelingLecture notes in computer science
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Andrew McCallum
72 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 4.0k
- Information Systems 2.2k
- Statistical and Nonlinear Physics 999
- Management Science and Operations Research 817
- Computer Networks and Communications 521
Countries citing papers authored by Andrew McCallum
This map shows the geographic impact of Andrew McCallum'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 Andrew McCallum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew McCallum more than expected).
Fields of papers citing papers by Andrew McCallum
This network shows the impact of papers produced by Andrew McCallum. 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 Andrew McCallum. The network helps show where Andrew McCallum may publish in the future.
Co-authorship network of co-authors of Andrew McCallum
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew McCallum. A scholar is included among the top collaborators of Andrew McCallum 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 Andrew McCallum. Andrew McCallum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | Min/Max Stability and Box Distributions | 1 |
| 5 | Smoothing the Geometry of Probabilistic Box Embeddings | 23 |
| 6 | Probabilistic Databases of Universal Schema | 16 |
| 7 | Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models | 81 |
| 8 | Optimizing Semantic Coherence in Topic Modelsbreakdown → | 816 |
| 9 | 4 | |
| 10 | Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis | 82 |
| 11 | Errores médicos: conocimiento de la perspectiva de los padres | 1 |
| 12 | Topics over timebreakdown → | 785 |
| 13 | Topic and role discovery in social networks | 202 |
| 14 | NIPS Workshop on Learning with Structured Outputs | 2 |
| 15 | Learning to Create Customized Authority Lists | 48 |
| 16 | An Interoperable Multimedia Catalog System for Electronic Commerce. | 14 |
| 17 | 285 | |
| 18 | A machine learning approach to building domain-specific search engines | 123 |
| 19 | Using Reinforcement Learning to Spider the Web Efficiently | 141 |
| 20 | Learning to extract symbolic knowledge from the World Wide Web | 443 |
About Andrew McCallum
Andrew McCallum is a scholar working on Artificial Intelligence, Information Systems and General Social Sciences, having authored 73 papers that have together received 5.9k indexed citations. Recurring topics across this work include Topic Modeling (42 papers), Natural Language Processing Techniques (19 papers) and Web Data Mining and Analysis (15 papers). The work is most often cited by research in General Social Sciences (441 citations), Artificial Intelligence (4.0k citations) and Information Systems (2.2k citations). Andrew McCallum has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Xuerui Wang, David Mimno, Kamal Nigam, Lyle Ungar, Andrés Corrada-Emmanuel, Hanna Wallach, Edmund M. Talley, Jason D. M. Rennie, Mark Craven and Seán Slattery. Their work appears in journals such as Artificial Intelligence, Journal of Chemical Information and Modeling and Lecture notes in computer science.
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.