Martin Doerr

68 papers receiving 863 citations

Peers

Martin Doerr
Comparison fields: 5 of 103
  • Space and Planetary Science 87
  • Conservation 140
  • Geology 212
  • Artificial Intelligence 515
  • Computer Vision and Pattern Recognition 267
Replace Franco Niccolucci with:
Franco Niccolucci Italy
Μαρία Θεοδωρίδου Greece
Antoine Isaac Netherlands
Richard Marciano United States
David Arnold United Kingdom
Marian Dörk Germany
Jacco van Ossenbruggen Netherlands
Leif Isaksen United Kingdom
Andrew T. Wilson United States
Pedro Cano Spain
Martin Doerr relative to Franco Niccolucci Italy Franco Niccolucci's profile →
Citations per field
00.5×5.4×
Franco Niccolucci · 1×
Citations per year

Countries citing papers authored by Martin Doerr

Since Specialization
Citations

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

Fields of papers citing papers by Martin Doerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Towards a Core Ontology for Information Integration
2003108
2
Semantic problems of thesaurus mapping
200657
3 200753
4 201752
5 200848
6
CRMdig: A Generic Digital Provenance Model for Scientific Observation.
201139
7
Integrating Dublin Core metadata for cultural heritage collections using ontologies
200738
8 201037
9 200834
10 201628
11 201527
12 201623
13 201019
14
Semantic Interoperability in Digital Library Systems
200518
15 200518
16
The use of CRM Core in Multimedia Annotation
200618
17 201417
18 200616
19 201816
20 201615

About Martin Doerr

Martin Doerr is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 75 papers that have together received 987 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (47 papers), Advanced Database Systems and Queries (16 papers), Scientific Computing and Data Management (11 papers), Image Processing and 3D Reconstruction (10 papers), Biomedical Text Mining and Ontologies (10 papers), Data Quality and Management (10 papers), 3D Surveying and Cultural Heritage (8 papers) and Research Data Management Practices (8 papers). The work is most often cited by research in Space and Planetary Science (87 citations), Conservation (140 citations), Geology (212 citations), Artificial Intelligence (515 citations) and Computer Vision and Pattern Recognition (267 citations). Martin Doerr has collaborated with scholars based in Greece, Germany and Italy. Frequent co-authors include Μαρία Θεοδωρίδου, Carl Lagoze, Jane Hunter, Carlo Meghini, Christos Papatheodorou, Yannis Marketakis, Yannis Tzitzikas, Franco Niccolucci, Øyvind Eide and Achille Felicetti. Their work appears in journals such as Journal on Computing and Cultural Heritage, International Journal on Digital Libraries, D-Lib Magazine, Knowledge-Based Systems and Program electronic library and information systems.

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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