K. V. Ravi Kanth

640 citations
12 papers · 401 indexed · h-index 8
Topics
Data Management and Algorithms (12 papers)Advanced Database Systems and Queries (8 papers)Algorithms and Data Compression (6 papers)
Partner nations
United States

In The Last Decade

K. V. Ravi Kanth

12 papers receiving 359 citations

Peers

K. V. Ravi Kanth
Comparison fields: 5 of 34
  • Signal Processing 298
  • Computer Vision and Pattern Recognition 153
  • Artificial Intelligence 134
  • Computer Networks and Communications 99
  • Information Systems 61
Replace Philipp Kranen with:
Philipp Kranen Germany
Jianlin Feng China
Sanjay Goil United States
Marcus Schaefer United States
Norio Katayama Japan
Ralph Krieger Germany
Bernd-Uwe Pagel Germany
Morteza Monemizadeh United States
Boulos Harb United States
Haichuan Shang Japan
K. V. Ravi Kanth relative to Philipp Kranen Germany Philipp Kranen's profile →
Citations per field
00.5×1.5×2.2×
Philipp Kranen · 1×
Citations per year

Countries citing papers authored by K. V. Ravi Kanth

Since Specialization
Citations

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

Fields of papers citing papers by K. V. Ravi Kanth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. V. Ravi Kanth. 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 K. V. Ravi Kanth. The network helps show where K. V. Ravi Kanth may publish in the future.

Co-authorship network of co-authors of K. V. Ravi Kanth

This figure shows the co-authorship network connecting the top 25 collaborators of K. V. Ravi Kanth. A scholar is included among the top collaborators of K. V. Ravi Kanth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. V. Ravi Kanth. K. V. Ravi Kanth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1
Spatio-Temporal Indexing in Oracle: Issues and Challenges.
5
2 5
3 8
4 1
5 11
6 55
7 10
8 19
9 187
10 83
11 2
12 15

About K. V. Ravi Kanth

K. V. Ravi Kanth is a scholar working on Signal Processing, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 401 indexed citations. Recurring topics across this work include Data Management and Algorithms (12 papers), Advanced Database Systems and Queries (8 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Signal Processing (298 citations), Computational Mathematics (12 citations) and Computer Vision and Pattern Recognition (153 citations). K. V. Ravi Kanth has collaborated with scholars based in United States. Frequent co-authors include Ambuj K. Singh, Divyakant Agrawal, Amr El Abbadi, Siva Ravada, Jay Banerjee, Jayant Sharma, Aditya Singh, Sunil Prabhakar, Michael Freeston and Michael O. Neary. Their work appears in journals such as Computer Vision and Image Understanding, ACM SIGMOD Record and Information Processing Letters.

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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