Graham Cormode

20.2k citations
179 papers · 8.4k · 3 hit papers · h-index 49

Impact in

Papers in

Graham Cormode

171 papers receiving 8.0k citations

Graham Cormode's Hit Papers

Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches 2011 · 304 citations
3040+7+14Years since publication4008001.2k

Peers

Graham Cormode
Comparison fields: 5 of 133
  • Signal Processing 2.3k
  • Computer Networks and Communications 4.0k
  • Artificial Intelligence 5.5k
  • Computer Science Applications 492
  • Information Systems 1.3k
Replace Vitaly Shmatikov with:
Vitaly Shmatikov United States
Stefano Ceri Italy
Alistair Moffat Australia
Andrei Broder United States
Raghu Ramakrishnan United States
Panos Kalnis Saudi Arabia
Moni Naor Israel
Gerhard Weikum Germany
Haixun Wang United States
John C. S. Lui Hong Kong
Graham Cormode relative to Vitaly Shmatikov United States Vitaly Shmatikov's profile →
Citations per field
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Vitaly Shmatikov · 1×
Citations per year

Countries citing papers authored by Graham Cormode

Since Specialization
Citations

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

Fields of papers citing papers by Graham Cormode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An improved data stream summary: the count-min sketch and its applications
Hit paper breakdown →
20041319
2
Key differences between Web 1.0 and Web 2.0
Hit paper breakdown →
2008335
3
Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
Hit paper breakdown →
2011304
4 2005300
5 2012262
6 2017222
7 2008212
8 2014161
9 2005152
10 2009148
11 2008146
12
Sketching streams through the net: distributed approximate query tracking
2005141
13 2015140
14 2018130
15 2006124
16 2015120
17 2009119
18 2009112
19 2005109
20 2012101

About Graham Cormode

Graham Cormode is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computational Theory and Mathematics and Information Systems, having authored 179 papers that have together received 8.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (64 papers), Advanced Database Systems and Queries (64 papers), Privacy-Preserving Technologies in Data (38 papers), Cryptography and Data Security (36 papers), Data Stream Mining Techniques (29 papers), Algorithms and Data Compression (24 papers), Complexity and Algorithms in Graphs (21 papers) and Data Mining Algorithms and Applications (15 papers). The work is most often cited by research in Signal Processing (2.3k citations), Computer Networks and Communications (4.0k citations), Artificial Intelligence (5.5k citations), Computer Science Applications (492 citations) and Information Systems (1.3k citations). Graham Cormode has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include S. Muthukrishnan, Divesh Srivastava, Minos Garofalakis, Balachander Krishnamurthy, Marios Hadjieleftheriou, Cecilia M. Procopiuc, Ting Yu, Ke Yi, S. Muthukrishnan and Andrew McGregor. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, ACM Transactions on Algorithms, IEEE Transactions on Knowledge and Data 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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