S. Goldberg

7.2k total citations
9 papers, 85 citations indexed

About

S. Goldberg is a scholar working on Artificial Intelligence, Information Systems and Mechanics of Materials. According to data from OpenAlex, S. Goldberg has authored 9 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Mechanics of Materials. Recurrent topics in S. Goldberg's work include Semantic Web and Ontologies (2 papers), Data Stream Mining Techniques (2 papers) and Natural Language Processing Techniques (2 papers). S. Goldberg is often cited by papers focused on Semantic Web and Ontologies (2 papers), Data Stream Mining Techniques (2 papers) and Natural Language Processing Techniques (2 papers). S. Goldberg collaborates with scholars based in United States. S. Goldberg's co-authors include Daisy Zhe Wang, Tim Kraska, Kun Li, Joseph N. Wilson, Taylor Glenn and Paul Gader and has published in prestigious journals such as Proceedings of the VLDB Endowment, The VLDB Journal and Journal of Data and Information Quality.

In The Last Decade

S. Goldberg

9 papers receiving 84 citations

Peers

S. Goldberg
Comparison fields: 5 of 27
  • Artificial Intelligence 68
  • Management Science and Operations Research 25
  • Information Systems 16
  • Computer Vision and Pattern Recognition 11
  • Signal Processing 10
Replace Jianhong Tu with:
Jianhong Tu China
Danica Damljanović United Kingdom
Madelon Hulsebos United States
Paul Suganthan United States
Luiz André P. Paes Leme Brazil
Iulia Turc United States
Dennis Diefenbach France
Avanika Narayan United States
Jovan Pehcevski France
Ehsan Kamalloo Canada
Jianhong Tu China View profile →
Citations per field, relative to S. Goldberg
S. Goldberg · 1×
Citations per year, relative to S. Goldberg
S. Goldberg · 1×

Countries citing papers authored by S. Goldberg

Since Specialization
Citations

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

Fields of papers citing papers by S. Goldberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Goldberg

This figure shows the co-authorship network connecting the top 25 collaborators of S. Goldberg. A scholar is included among the top collaborators of S. Goldberg 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 S. Goldberg. S. Goldberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 6
2 26
3 29
4 1
5 2
6
University of Florida DSR Lab System for KBP Slot Filler Validation 2015.
2
7 5
8
Automatic Knowledge Base Construction using Probabilistic Extraction, Deductive Reasoning, and Human Feedback
9
9 5

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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