Lorenz Bühmann

1.8k citations
15 papers · 596 indexed · 1 hit paper · h-index 9

Lorenz Bühmann

15 papers receiving 550 citations

Hit Papers

Template-based question answering over RDF data269201220262016202150100150200250

Peers

Lorenz Bühmann
Comparison fields: 5 of 39
  • Artificial Intelligence 560
  • Management Science and Operations Research 147
  • Information Systems 136
  • Signal Processing 41
  • Computer Networks and Communications 52
Replace Isaac G. Councill with:
Isaac G. Councill United States
Luis Galárraga France
You Wu United States
Ndapa Nakashole United States
Alpa Jain United States
Giuseppe Pirrò Italy
Saeedeh Shekarpour Germany
Byron J. Gao United States
Amit Bagga United States
Oliver Lehmberg Germany
Lorenz Bühmann relative to Isaac G. Councill United States Isaac G. Councill's profile →
Citations per field
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Isaac G. Councill · 1×
Citations per year

Countries citing papers authored by Lorenz Bühmann

Since Specialization
Citations

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

Fields of papers citing papers by Lorenz Bühmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Lorenz Bühmann, 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 Lorenz Bühmann Line = papers co-authored together Lorenz Bühmann links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20222
2 20202
3 20195
4 20188
5 201814
6 201649
7 201541
8
HAWK - Hybrid Question Answering over Linked Data
20158
9 20156
10
Checking and repairing ontological naming patterns using ORE and PatOMat.
20131
11 201349
12 20138
13 201377
14
Template-based question answering over RDF databreakdown →
2012269
15 201157

About Lorenz Bühmann

Lorenz Bühmann is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Geography, Planning and Development and Molecular Biology, having authored 15 papers that have together received 596 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Biomedical Text Mining and Ontologies (8 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Data Quality and Management (3 papers), Service-Oriented Architecture and Web Services (3 papers), Geographic Information Systems Studies (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Artificial Intelligence (560 citations), Management Science and Operations Research (147 citations), Information Systems (136 citations), Signal Processing (41 citations) and Computer Networks and Communications (52 citations). Lorenz Bühmann has collaborated with scholars based in Germany, Czechia and Romania. Frequent co-authors include Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Dániel Gerber, Christina Unger, Philipp Cimiano, Sören Auer, Patrick Westphal, Sebastian Tramp, Amrapali Zaveri and Mohamed Morsey. Their work appears in journals such as Journal of Web Semantics, Semantic Web, Knowledge-Based Systems, Zenodo (CERN European Organization for Nuclear Research) and SSRN Electronic Journal.

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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