Michael Wick
- Artificial Intelligence top 5%
- Topic Modeling 16
- Natural Language Processing Techniques 9
- Bayesian Modeling and Causal Inference 8
- Semantic Web and Ontologies 8
- Advanced Graph Neural Networks 3
- Machine Learning and Algorithms 2
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- Data Quality and Management 11
- Signal Processing top 10%
- Information Systems top 10%
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- Advanced Database Systems and Queries 3
- Co-authors
- Andrew McCallumAron CulottaSameer SinghKhashayar RohanimaneshGerome MiklauJean-Baptiste TristanKarl SchultzKedar Bellare
- Journals
- Language Resources and Evaluation (1 paper)Proceedings of the VLDB Endowment (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (6 papers)
- Partner nations
- United StatesItalyIreland
In The Last Decade
Michael Wick
29 papers receiving 446 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 427
- Management Science and Operations Research 139
- Signal Processing 54
- Information Systems 98
- Computer Networks and Communications 54
Countries citing papers authored by Michael Wick
This map shows the geographic impact of Michael Wick'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 Michael Wick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wick more than expected).
Fields of papers citing papers by Michael Wick
This network shows the impact of papers produced by Michael Wick. 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 Michael Wick. The network helps show where Michael Wick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Wick, 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 | 2022 | 1 | |
| 2 | 2021 | 10 | |
| 3 | Unlocking Fairness: a Trade-off Revisited | 2019 | 21 |
| 4 | Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation. | 2017 | 2 |
| 5 | Exponential Stochastic Cellular Automata for Massively Parallel Inference | 2016 | 15 |
| 6 | 2016 | 19 | |
| 7 | Large-scale author coreference via hierarchical entity representations | 2013 | 3 |
| 8 | 2013 | 4 | |
| 9 | Probabilistic Reasoning about Human Edits in Information Integration | 2013 | 2 |
| 10 | A Discriminative Hierarchical Model for Fast Coreference at Large Scale | 2012 | 33 |
| 11 | Monte Carlo MCMC: Efficient Inference by Approximate Sampling | 2012 | 8 |
| 12 | Human-machine cooperation with epistemological DBs: supporting user corrections to knowledge bases | 2012 | 1 |
| 13 | Query-Aware MCMC | 2011 | 14 |
| 14 | A Corpus for Cross-Document Co-reference. | 2008 | 6 |
| 15 | MAP inference in Large Factor Graphs with Reinforcement Learning | 2008 | 2 |
| 16 | A Discriminative Approach to Ontology Mapping. | 2008 | 3 |
| 17 | 2008 | 27 | |
| 18 | FACTORIE: Efficient Probabilistic Programming for Relational Factor Graphs via Imperative Declarations of Structure, Inference and Learning | 2008 | 11 |
| 19 | First-Order Probabilistic Models for Coreference Resolution | 2007 | 110 |
| 20 | Author Disambiguation using Error-driven Machine Learning with a Ranking Loss Function | 2007 | 53 |
About Michael Wick
Michael Wick is a scholar working on Management Science and Operations Research, Artificial Intelligence and Health Informatics, having authored 29 papers that have together received 506 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Data Quality and Management (11 papers), Natural Language Processing Techniques (9 papers), Bayesian Modeling and Causal Inference (8 papers), Semantic Web and Ontologies (8 papers), Advanced Database Systems and Queries (3 papers), Advanced Graph Neural Networks (3 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (427 citations), Management Science and Operations Research (139 citations) and Signal Processing (54 citations). Michael Wick has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Andrew McCallum, Aron Culotta, Sameer Singh, Khashayar Rohanimanesh, Gerome Miklau, Jean-Baptiste Tristan, Karl Schultz, Kedar Bellare, Adam Pocock and Joseph M. Hellerstein. Their work appears in journals such as Language Resources and Evaluation, Proceedings of the VLDB Endowment, ScholarWorks@UMassAmherst (University of Massachusetts Amherst), International Conference on Artificial Intelligence and Statistics and Scholarworks (University of Massachusetts Amherst).
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.