Martin Theobald

70 papers receiving 1.4k citations

Peers

Martin Theobald
Comparison fields: 5 of 67
  • Artificial Intelligence 1.1k
  • Computer Networks and Communications 579
  • Information Systems 516
  • Signal Processing 469
  • Management Science and Operations Research 435
Replace Ralf Schenkel with:
Ralf Schenkel Germany
Yannis Velegrakis Italy
Klaus Berberich Germany
Altigran S. da Silva Brazil
Jeff Heflin United States
Vassilis Christophides Greece
Philip Bohannon United States
Barzan Mozafari United States
Angela Bonifati France
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Martin Theobald relative to Ralf Schenkel Germany Ralf Schenkel's profile →
Citations per field
00.5×2.6×
Ralf Schenkel · 1×
Citations per year

Countries citing papers authored by Martin Theobald

Since Specialization
Citations

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

Fields of papers citing papers by Martin Theobald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Theobald

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Theobald. A scholar is included among the top collaborators of Martin Theobald 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 Martin Theobald. Martin Theobald 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 0
3 1
4 3
5 1
6 4
7
GCAI 2017. 3rd Global Conference on Artificial Intelligence
0
8
Correlation-Based Refinement of Rules with Numerical Attributes
2
9
Learning Tuple Probabilities in Probabilistic Databases
1
10 28
11 89
12 151
13 80
14
IO-Top-k at TREC 2006: Terabyte Track
2
15 16
16
TopX & XXL at INEX 2005 (Ad-Hoc Track)
1
17
An Efficient and Versatile Query Engine for TopX Search
23
18
Relevance Feedback for Structural Query Expansion
1
19
Towards a Statistically Semantic Web
1
20
Exploiting Structure, Annotation, and Ontological Knowledge for Automatic Classification of XML Data
40

About Martin Theobald

Martin Theobald is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (24 papers), Semantic Web and Ontologies (23 papers) and Advanced Database Systems and Queries (22 papers). The work is most often cited by research in Signal Processing (469 citations), Management Science and Operations Research (435 citations) and Artificial Intelligence (1.1k citations). Martin Theobald has collaborated with scholars based in Germany, Luxembourg and United States. Frequent co-authors include Gerhard Weikum, Jennifer Widom, Anish Das Sarma, Stephan Seufert, Ralf Schenkel, Dat Ba Nguyen, Ndapa Nakashole, Iris Miliaraki, Andreas Paepcke and Sairam Gurajada. Their work appears in journals such as Expert Systems with Applications, Future Generation Computer Systems and Proceedings of the VLDB Endowment.

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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