Marc Verhagen

2.8k citations
41 papers · 1.7k indexed · h-index 17

Marc Verhagen

37 papers receiving 1.4k citations

Peers

Marc Verhagen
Comparison fields: 5 of 52
  • Artificial Intelligence 1.6k
  • Signal Processing 213
  • Computer Networks and Communications 147
  • Information Systems 138
  • Management Science and Operations Research 75
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Citations per year

Countries citing papers authored by Marc Verhagen

Since Specialization
Citations

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

Fields of papers citing papers by Marc Verhagen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marc Verhagen, 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 Marc Verhagen Line = papers co-authored together Marc Verhagen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20202
4
Bridging the LAPPS Grid and CLARIN
20181
5 2016132
6
Identification of Technology Terms in Patents
20142
7
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
2013216
8
A Linguistically Grounded Annotation Language for Spatial Information
201216
9
The TARSQI Toolkit
20124
10
ATLIS: Identifying Locational Information in Text Automatically
20121
11 20111
12
The Brandeis Annotation Tool.
20108
13
SemEval-2010 Task 13: TempEval-2
2010199
14
Temporal Processing with the TARSQI Toolkit
200863
15
SlinkET: A Partial Modal Parser for Events.
200616
16
Towards a Generative Lexical Resource: The Brandeis Semantic Ontology.
200640
17
BULB: A Unified Lexical Browser.
20062
18
Annotation of Temporal Relations with Tango
200611
19
Annotating and Recognizing Event Modality in Text.
200642
20
Semantic Indexing and Typed Hyperlinking
199717

About Marc Verhagen

Marc Verhagen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Management and Management of Technology and Innovation, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (24 papers), Natural Language Processing Techniques (21 papers), Topic Modeling (18 papers), Constraint Satisfaction and Optimization (12 papers), Data Management and Algorithms (5 papers), Biomedical Text Mining and Ontologies (3 papers), Data Mining Algorithms and Applications (3 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Signal Processing (213 citations), Computer Networks and Communications (147 citations), Information Systems (138 citations) and Management Science and Operations Research (75 citations). Marc Verhagen has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include James Pustejovsky, R. Supyan Sauri, Leon Derczynski, Inderjeet Mani, Tommaso Caselli, Steven Bethard, Guergana Savova, Mark Hepple, Frank Schilder and Robert Gaizauskas. Their work appears in journals such as Language Resources and Evaluation, Language and Linguistics Compass, Translational Psychiatry, International Journal of Computational Biology and Drug Design and Joint Conference on Lexical and Computational Semantics.

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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