Marco Schorlemmer

65 papers receiving 1.2k citations

Hit Papers

Ontology mapping: the state of the art20032026201020182003100200300400500

Peers

Marco Schorlemmer
Comparison fields: 5 of 72
  • Artificial Intelligence 1.2k
  • Information Systems 654
  • Computer Networks and Communications 337
  • Molecular Biology 261
  • Management Science and Operations Research 133
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Citations per field
00.5×5.3×
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Citations per year

Countries citing papers authored by Marco Schorlemmer

Since Specialization
Citations

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

Fields of papers citing papers by Marco Schorlemmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Schorlemmer

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Schorlemmer. A scholar is included among the top collaborators of Marco Schorlemmer 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 Marco Schorlemmer. Marco Schorlemmer 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
#WorkIndexed citations
1 0
2 3
3
Coherence, Similarity, and Concept Generalisation
8
4 2
5
The Yoneda Path to the Buddhist Monk Blend
3
6 8
7 4
8 17
9 12
10
A Formal Argumentation Dialogue for Personalised Trust Communication
1
11 8
12 2
13 2
14 6
15
Formalising Interaction-Situated Semantic Alignment: The Communication Product
4
16
A Channel-Theoretic foundation for ontology coordination
1
17
Semantic Interoperability and Integration
30
18
IF-Map: An Ontology-Mapping Method Based on Information-Flow Theory
4
19
Duality in Knowledge Sharing
17
20
Inclusional Theories in Declarative Programming.
1

About Marco Schorlemmer

Marco Schorlemmer is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (41 papers), Logic, Reasoning, and Knowledge (17 papers) and Service-Oriented Architecture and Web Services (17 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Information Systems (654 citations) and Computer Networks and Communications (337 citations). Marco Schorlemmer has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Yannis Kalfoglou, Alan Smaill, Roberto Confalonieri, Enric Plaza, Andrew Koster, Tarek R. Besold, Oliver Kutz, Jordi Sabater-Mir, Carles Sierra and Alison Pease. Their work appears in journals such as Artificial Intelligence, IEEE Transactions on Knowledge and Data Engineering and International Journal of Human-Computer Studies.

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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