Narayanan Shivakumar

2.4k citations
33 papers · 1.9k · h-index 21

Impact in

Papers in

Narayanan Shivakumar

33 papers receiving 1.7k citations

Peers

Narayanan Shivakumar
Comparison fields: 5 of 56
  • Signal Processing 714
  • Information Systems 943
  • Computer Networks and Communications 907
  • Geography, Planning and Development 172
  • Artificial Intelligence 764
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Alan Halverson United States
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Citations per field
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Citations per year

Countries citing papers authored by Narayanan Shivakumar

Since Specialization
Citations

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

Fields of papers citing papers by Narayanan Shivakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Narayanan Shivakumar, 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 Narayanan Shivakumar Line = papers co-authored together Narayanan Shivakumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computing Iceberg Queries Efficiently
1998283
2
SCAM: A Copy Detection Mechanism for Digital Documents
1995234
3 2000184
4
Proximity Search in Databases
1998156
5 1996132
6
Exploiting Geographical Location Information of Web Pages
1999118
7 2000106
8
Efficient indexing for broadcast based wireless systems
199678
9
Finding Near-Replicas of Documents and Servers on the Web
199877
10 199969
11 199561
12 199756
13 200049
14 200045
15 199532
16 199731
17 200226
18 199725
19 200924
20 199922

About Narayanan Shivakumar

Narayanan Shivakumar is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Signal Processing and Artificial Intelligence, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (11 papers), Advanced Database Systems and Queries (7 papers), Data Management and Algorithms (7 papers), Wireless Communication Networks Research (4 papers), Algorithms and Data Compression (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), Digital Rights Management and Security (3 papers) and IPv6, Mobility, Handover, Networks, Security (3 papers). The work is most often cited by research in Signal Processing (714 citations), Information Systems (943 citations), Computer Networks and Communications (907 citations), Geography, Planning and Development (172 citations) and Artificial Intelligence (764 citations). Narayanan Shivakumar has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Héctor García-Molina, Luis Gravano, Suresh Venkatasubramanian, Junghoo Cho, Junyan Ding, Rajeev Motwani, Jeffrey D. Ullman, Jennifer Widom, Roy Goldman and Jean‐Luc Jannink. Their work appears in journals such as Mobile Networks and Applications, ACM SIGMOD Record, Wireless Networks, Neurobiology of Aging and ACM SIGMETRICS Performance Evaluation Review.

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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