Moritz Schubotz

1.2k total citations
52 papers, 362 citations indexed

About

Moritz Schubotz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Moritz Schubotz has authored 52 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 25 papers in Computational Theory and Mathematics and 13 papers in Information Systems. Recurrent topics in Moritz Schubotz's work include Mathematics, Computing, and Information Processing (25 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (7 papers). Moritz Schubotz is often cited by papers focused on Mathematics, Computing, and Information Processing (25 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (7 papers). Moritz Schubotz collaborates with scholars based in Germany, United States and Japan. Moritz Schubotz's co-authors include Béla Gipp, Steffen Schlager, Norman Meuschke, Volker Markl, Abdou Youssef, Howard S. Cohl, Akiko Aizawa, Corinna Breitinger, Marcus Leich and Iadh Ounis and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Computing Surveys.

In The Last Decade

Moritz Schubotz

43 papers receiving 319 citations

Peers

Moritz Schubotz
Comparison fields: 5 of 63
  • Artificial Intelligence 168
  • Information Systems 117
  • Computational Theory and Mathematics 117
  • Computer Networks and Communications 69
  • Computer Vision and Pattern Recognition 40
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Citations per field, relative to Moritz Schubotz
Moritz Schubotz · 1×
Citations per year, relative to Moritz Schubotz
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Countries citing papers authored by Moritz Schubotz

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Schubotz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Schubotz

This figure shows the co-authorship network connecting the top 25 collaborators of Moritz Schubotz. A scholar is included among the top collaborators of Moritz Schubotz 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 Moritz Schubotz. Moritz Schubotz 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
# Work Indexed citations
1 0
2 0
3 2
4 3
5 1
6 1
7 1
8 2
9 1
10 15
11 1
12 3
13 9
14
Towards Formula Concept Discovery and Recognition
4
15
Improving the representation and conversion of mathematical formulae by considering the textual context
1
16
Representing Mathematical Formulae in Content MathML using Wikidata
5
17
NTCIR-11 Math-2 Task Overview.
22
18
Evaluation of Similarity-Measure Factors for Formulae Based on the NTCIR-11 Math Task
7
19
Applying stratosphere for big data analytics
9
20
Querying large Collections of Mathematical Publications - NTCIR10 Math Task -
4

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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