Georg Gottlob

19.7k citations
287 papers · 9.0k · 1 hit paper · h-index 47

Impact in

Papers in

Georg Gottlob

280 papers receiving 8.1k citations

Georg Gottlob's Hit Papers

The DLV system for knowledge representation and reasoning 2006 · 501 citations
5010+6+13Years since publication100200300400500

Peers

Georg Gottlob
Comparison fields: 5 of 120
  • Artificial Intelligence 6.7k
  • Computer Networks and Communications 4.3k
  • Signal Processing 1.7k
  • Computational Theory and Mathematics 2.1k
  • Software 342
Replace Bart Selman with:
Bart Selman United States
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Monica S. Lam United States
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Georg Gottlob relative to Bart Selman United States Bart Selman's profile →
Citations per field
00.5×3.8×
Bart Selman · 1×
Citations per year

Countries citing papers authored by Georg Gottlob

Since Specialization
Citations

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

Fields of papers citing papers by Georg Gottlob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 287 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The DLV system for knowledge representation and reasoning
Hit paper breakdown →
2006501
2 2001385
3 1989341
4 1990339
5
Visual Web Information Extraction with Lixto
2001275
6 1997237
7 1995227
8 1995225
9 2002197
10 2012191
11 1995189
12 1992178
13 1992176
14 2000162
15 1996144
16 2002139
17 2012115
18 2013110
19 2009106
20 2001100

About Georg Gottlob

Georg Gottlob is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Signal Processing and Information Systems, having authored 287 papers that have together received 9.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (116 papers), Advanced Database Systems and Queries (116 papers), Logic, Reasoning, and Knowledge (98 papers), Data Management and Algorithms (55 papers), Logic, programming, and type systems (38 papers), Advanced Graph Theory Research (32 papers), Web Data Mining and Analysis (30 papers) and Advanced Algebra and Logic (29 papers). The work is most often cited by research in Artificial Intelligence (6.7k citations), Computer Networks and Communications (4.3k citations), Signal Processing (1.7k citations), Computational Theory and Mathematics (2.1k citations) and Software (342 citations). Georg Gottlob has collaborated with scholars based in Austria, United Kingdom and Italy. Frequent co-authors include Thomas Eiter, Nicola Leone, Francesco Scarcello, Stefano Ceri, Andrea Calı̀, Christoph Koch, Letizia Tanca, Andréas Pieris, Thomas Lukasiewicz and Reinhard Pichler. Their work appears in journals such as Journal of the ACM, Artificial Intelligence, Proceedings of the VLDB Endowment, Theoretical Computer Science and ACM Transactions on Computational Logic.

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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