Nick Koudas

197 papers receiving 9.2k citations

Nick Koudas's Hit Papers

TwitterMonitor 2010 · 641 citations
6410+8+16Years since publication200400600

Peers

Nick Koudas
Comparison fields: 5 of 118
  • Signal Processing 5.5k
  • Computer Networks and Communications 5.4k
  • Artificial Intelligence 5.3k
  • Information Systems 2.8k
  • Management Science and Operations Research 1.5k
Replace Divyakant Agrawal with:
Divyakant Agrawal United States
S. Muthukrishnan United States
Amr El Abbadi United States
M. TAMER ÖZSU Canada
Haixun Wang United States
Jeffrey Xu Yu Hong Kong
Mayur Datar United States
Xiaokui Xiao Singapore
Surajit Chaudhuri United States
Raghu Ramakrishnan United States
Nick Koudas relative to Divyakant Agrawal United States Divyakant Agrawal's profile →
Citations per field
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Divyakant Agrawal · 1×
Citations per year

Countries citing papers authored by Nick Koudas

Since Specialization
Citations

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

Fields of papers citing papers by Nick Koudas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Holistic twig joins
Hit paper breakdown →
2002653
2
TwitterMonitor
Hit paper breakdown →
2010641
3
Structural joins: a primitive for efficient XML query pattern matching
Hit paper breakdown →
2003568
4
Approximate String Joins in a Database (Almost) for Free
2001418
5
Optimal Histograms with Quality Guarantees
1998305
6 2007263
7 2005238
8 2001216
9 2001214
10 2006205
11 2010172
12 2002169
13
Identifying Representative Trends in Massive Time Series Data Sets Using Sketches
2000160
14 2009151
15 2002150
16 2002149
17 2003147
18 2003127
19 2006123
20 2002117

About Nick Koudas

Nick Koudas is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 202 papers that have together received 9.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (114 papers), Advanced Database Systems and Queries (90 papers), Data Quality and Management (37 papers), Data Mining Algorithms and Applications (30 papers), Algorithms and Data Compression (30 papers), Semantic Web and Ontologies (28 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Data Stream Mining Techniques (18 papers). The work is most often cited by research in Signal Processing (5.5k citations), Computer Networks and Communications (5.4k citations), Artificial Intelligence (5.3k citations), Information Systems (2.8k citations) and Management Science and Operations Research (1.5k citations). Nick Koudas has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Divesh Srivastava, Michael Mathioudakis, Nicolas Bruno, Sudipto Guha, S. Muthukrishnan, Chaitanya Mishra, H. V. Jagadish, Dimitrios Gunopulos, Gautam Das and Panagiotis G. Ipeirotis. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Database Systems, Data & Knowledge Engineering and ACM SIGMOD Record.

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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