Dan Olteanu

96 papers receiving 2.1k citations

Peers

Dan Olteanu
Comparison fields: 5 of 111
  • Signal Processing 1.2k
  • Computer Networks and Communications 1.4k
  • Artificial Intelligence 1.2k
  • Information Systems and Management 213
  • Management Science and Operations Research 354
Replace Fan Jiang with:
Fan Jiang China
Guido Moerkotte Germany
Patricia G. Selinger United States
Philip Bohannon United States
Barzan Mozafari United States
S. Sudarshan India
Aaron J. Elmore United States
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Raghav Kaushik United States
Peter M. G. Apers Netherlands
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Citations per field
00.5×6.9×
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Citations per year

Countries citing papers authored by Dan Olteanu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Olteanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008157
2 2008137
3 2015122
4 201689
5 200789
6 200979
7 200875
8 201173
9 201565
10 201465
11 201164
12 200762
13 200761
14 200959
15
Thrombocytopenia in chronic hepatitis C.
201055
16
Agora: Living with XML and Relational
200048
17 201045
18 201642
19 201341
20 200937

About Dan Olteanu

Dan Olteanu is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems and Management, Artificial Intelligence and Management Science and Operations Research, having authored 105 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (75 papers), Data Management and Algorithms (60 papers), Bayesian Modeling and Causal Inference (19 papers), Semantic Web and Ontologies (18 papers), Scientific Computing and Data Management (13 papers), Data Quality and Management (11 papers), Algorithms and Data Compression (9 papers) and Distributed systems and fault tolerance (7 papers). The work is most often cited by research in Signal Processing (1.2k citations), Computer Networks and Communications (1.4k citations), Artificial Intelligence (1.2k citations), Information Systems and Management (213 citations) and Management Science and Operations Research (354 citations). Dan Olteanu has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Christoph Koch, Lyublena Antova, Maximilian Schleich, Jiewen Huang, Jakub Závodný, Christof Koch, Dan Suciu, Thomas Jansen, Christopher Ré and Radu Ciucanu. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, The VLDB Journal, ACM SIGMOD Record and Logical Methods in Computer Science.

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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