M. Marx

19.0k citations
200 papers · 3.4k · 1 hit paper · h-index 28

Impact in

Papers in

M. Marx

188 papers receiving 3.1k citations

M. Marx's Hit Papers

Using WordNet to Measure Semantic Orientations of Adjectives 2004 · 516 citations
5160+7+14Years since publication100200300400500

Peers

M. Marx
Comparison fields: 5 of 106
  • Artificial Intelligence 2.7k
  • Computational Theory and Mathematics 858
  • Computer Networks and Communications 731
  • Signal Processing 293
  • Information Systems 488
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Citations per year

Countries citing papers authored by M. Marx

Since Specialization
Citations

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

Fields of papers citing papers by M. Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using WordNet to Measure Semantic Orientations of Adjectives
Hit paper breakdown →
2004516
2 2017158
3 2001141
4 1997128
5
Words with attitude
2002112
6 1997101
7 200593
8 199991
9 200478
10 200476
11 201075
12 199950
13
Definitorially complete description logics
200647
14 200247
15 200447
16 200746
17 199945
18 200440
19 200738
20 200536

About M. Marx

M. Marx is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Information Systems and Signal Processing, having authored 200 papers that have together received 3.4k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (57 papers), Semantic Web and Ontologies (56 papers), Logic, programming, and type systems (37 papers), Advanced Database Systems and Queries (35 papers), Topic Modeling (30 papers), Natural Language Processing Techniques (28 papers), Advanced Algebra and Logic (24 papers) and Data Management and Algorithms (16 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Computational Theory and Mathematics (858 citations), Computer Networks and Communications (731 citations), Signal Processing (293 citations) and Information Systems (488 citations). M. Marx has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Jaap Kamps, Maarten de Rijke, Yde Venema, Patrick Blackburn, Robert J. Mokken, Carlos Areces, Anne Schuth, Balder ten Cate, Martijn Spitters and Irini Fundulaki. Their work appears in journals such as Physics Letters B, Journal of Symbolic Logic, Journal of Logic Language and Information, Lecture notes in computer science and Journal of Logic and Computation.

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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