M. Narasimha Murty

18.0k citations
121 papers · 11.5k indexed · 2 hit papers · h-index 23
Topics
Face and Expression Recognition (26 papers)Data Mining Algorithms and Applications (21 papers)Data Management and Algorithms (20 papers)

In The Last Decade

M. Narasimha Murty

113 papers receiving 10.5k citations

Hit Papers

Data clustering1999202620082017199919992.5k5.0k7.5k

Peers

M. Narasimha Murty
Comparison fields: 5 of 219
  • Artificial Intelligence 6.2k
  • Computer Vision and Pattern Recognition 3.1k
  • Information Systems 2.0k
  • Signal Processing 2.0k
  • Computer Networks and Communications 1.0k
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M. Narasimha Murty relative to Krzysztof J. Cios United States Krzysztof J. Cios's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Narasimha Murty

Since Specialization
Citations

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

Fields of papers citing papers by M. Narasimha Murty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Narasimha Murty. 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 M. Narasimha Murty. The network helps show where M. Narasimha Murty may publish in the future.

Co-authorship network of co-authors of M. Narasimha Murty

This figure shows the co-authorship network connecting the top 25 collaborators of M. Narasimha Murty. A scholar is included among the top collaborators of M. Narasimha Murty 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 M. Narasimha Murty. M. Narasimha Murty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 70
2
Grouping Students for Maximizing Learning from Peers.
4
3 5
4 1
5
On the relation between K-means and PLSA
0
6
A Generalized Method of Hedonic Prices: Measuring Benefits from Reduced Urban Air Pollution
6
7 1
8
Clustering Large Symbolic Datasets
0
9
Core Vector Clustering.
1
10 8
11
Analysis of Leader based Clustering Algorithms for Pattern Classification.
1
12 7
13
An Efficient Hierarchical Clustering Algorithm for Protein Sequences.
2
14
Genetic K-means algorithmbreakdown →
1162
15 19
16 9
17 1
18 3
19
Pattern clustering: an artificial intelligence approach
0
20
A FRAMEWORK FOR THE SYNTHESIS OF KNOWLEDGE-DIRECTED PATTERN CLASSES
0

About M. Narasimha Murty

M. Narasimha Murty is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 121 papers that have together received 11.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (26 papers), Data Mining Algorithms and Applications (21 papers) and Data Management and Algorithms (20 papers). The work is most often cited by research in Artificial Intelligence (6.2k citations), Signal Processing (2.0k citations) and Computer Vision and Pattern Recognition (3.1k citations). M. Narasimha Murty has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Anil K. Jain, Patrick J. Flynn, V. Susheela Devi, G. Phanendra Babu, D.K. Subramanian, Shirish Shevade, S. Asharaf, Sambaran Bandyopadhyay, N. Lokesh and V. S. Ananthanarayana. Their work appears in journals such as ACM Computing Surveys, Pattern Recognition and Information Sciences.

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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