Patrick Verga

805 citations
15 papers · 383 · h-index 9

Impact in

Papers in

    • Topic Modeling 10
    • Natural Language Processing Techniques 9
    • Semantic Web and Ontologies 4
    • Speech Recognition and Synthesis 2
    • Memory and Neural Mechanisms 3
    • Sleep and Wakefulness Research 3

Patrick Verga

15 papers receiving 366 citations

Peers

Patrick Verga
Comparison fields: 5 of 54
  • Behavioral Neuroscience 35
  • Experimental and Cognitive Psychology 118
  • Cognitive Neuroscience 136
  • Endocrine and Autonomic Systems 40
  • Artificial Intelligence 184
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Verga

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Verga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Verga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Verga Line = papers co-authored together Patrick Verga links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201294
2 201365
3 201954
4 201846
5 201837
6 201523
7 201617
8
Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions.
201714
9 20139
10 20196
11
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
20215
12
Finer Grained Entity Typing with TypeNet.
20174
13
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.
20154
14
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
20163
15
UMass at TREC WEB 2014: Entity Query Feature Expansion using Knowledge Base Links
20142

About Patrick Verga

Patrick Verga is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology, having authored 15 papers that have together received 383 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers), Semantic Web and Ontologies (4 papers), Biomedical Text Mining and Ontologies (3 papers), Memory and Neural Mechanisms (3 papers), Sleep and Wakefulness Research (3 papers), Sleep and related disorders (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Behavioral Neuroscience (35 citations), Experimental and Cognitive Psychology (118 citations), Cognitive Neuroscience (136 citations), Endocrine and Autonomic Systems (40 citations) and Artificial Intelligence (184 citations). Patrick Verga has collaborated with scholars based in United States, Ukraine and India. Frequent co-authors include Andrew McCallum, Edward F. Pace‐Schott, Rebecca M. C. Spencer, Scott P. Orr, Mohit Iyyer, Andrew Drozdov, Mohit Yadav, Luke Vilnis, Trapit Bansal and Irena Radovanovic. Their work appears in journals such as Journal of Psychiatric Research, Theory and applications of categories, PLoS ONE, Psychiatry Research and Text REtrieval Conference.

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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