Matthew Michelson

1.1k total citations
30 papers, 601 citations indexed

About

Matthew Michelson is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Matthew Michelson has authored 30 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 14 papers in Artificial Intelligence and 12 papers in Management Science and Operations Research. Recurrent topics in Matthew Michelson's work include Data Quality and Management (12 papers), Web Data Mining and Analysis (10 papers) and Semantic Web and Ontologies (8 papers). Matthew Michelson is often cited by papers focused on Data Quality and Management (12 papers), Web Data Mining and Analysis (10 papers) and Semantic Web and Ontologies (8 papers). Matthew Michelson collaborates with scholars based in United States, Canada and Switzerland. Matthew Michelson's co-authors include Sofus A. Macskassy, Craig A. Knoblock, Katja Reuter, Steven Minton, Guilherme Del Fiol, R. Brian Haynes, Martin Michalowski, Alfonso Iorio, Chris Cotoi and Tiffany W. Chow and has published in prestigious journals such as Annals of Internal Medicine, Journal of Medical Internet Research and Value in Health.

In The Last Decade

Matthew Michelson

27 papers receiving 552 citations

Peers

Matthew Michelson
Comparison fields: 5 of 73
  • Artificial Intelligence 350
  • Information Systems 274
  • Management Science and Operations Research 176
  • Statistical and Nonlinear Physics 129
  • Computer Networks and Communications 70
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Citations per field, relative to Matthew Michelson
Matthew Michelson · 1×
Citations per year, relative to Matthew Michelson
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Countries citing papers authored by Matthew Michelson

Since Specialization
Citations

This map shows the geographic impact of Matthew Michelson'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 Matthew Michelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Michelson more than expected).

Fields of papers citing papers by Matthew Michelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Michelson. 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 Matthew Michelson. The network helps show where Matthew Michelson may publish in the future.

Co-authorship network of co-authors of Matthew Michelson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Michelson. A scholar is included among the top collaborators of Matthew Michelson 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 Matthew Michelson. Matthew Michelson 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
# Work Indexed citations
1 10
2 1
3 1
4 65
5 5
6 1
7 37
8
Automating Meta-Analyses of Randomized Clinical Trials: A First Look
3
9
Monitoring Entities in an Uncertain World: Entity Resolution and Referential Integrity.
2
10 1
11
Exploiting background knowledge to build reference sets for information extraction
4
12
Mining the Heterogeneous Transformations between Data Sources to Aid Record Linkage.
2
13
A reference-set approach to information extraction from unstructured, ungrammatical data sources
0
14 2
15 21
16
Beginning to Understand Unstructured, Ungrammatical Text: An Information Integration Approach.
2
17
Phoebus: a system for extracting and integrating data from unstructured and ungrammatical sources
5
18
Learning blocking schemes for record linkage
95
19 39
20
Semantic annotation of unstructured and ungrammatical text
18

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.

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