P. M. Narendra

1.5k citations
15 papers · 1.1k indexed · 1 hit paper · h-index 9
Topics
Infrared Target Detection Methodologies (7 papers)CCD and CMOS Imaging Sensors (4 papers)Calibration and Measurement Techniques (3 papers)

In The Last Decade

P. M. Narendra

14 papers receiving 1.0k citations

Hit Papers

A Branch and Bound Algorithm for Computing k-Nearest Neig...19752026199220091975100200300400500

Peers

P. M. Narendra
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 542
  • Artificial Intelligence 339
  • Signal Processing 204
  • Media Technology 136
  • Aerospace Engineering 116
Replace Oscar Firschein with:
Oscar Firschein United States
Keith Price United States
Emilio L. Zapata Spain
Gerhard X. Ritter United States
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M Srinath United States
Jean-Michel Jolion France
Jane Bromley United States
Kap Luk Chan Singapore
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P. M. Narendra relative to Oscar Firschein United States Oscar Firschein's profile →
Citations per field
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Citations per year

Countries citing papers authored by P. M. Narendra

Since Specialization
Citations

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

Fields of papers citing papers by P. M. Narendra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. M. Narendra

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 4
3 92
4 145
5 28
6 1
7 55
8 1
9 31
10 2
11 1
12 43
13 48
14
A Branch and Bound Algorithm for Computing k-Nearest Neighborsbreakdown →
500
15 143

About P. M. Narendra

P. M. Narendra is a scholar working on Computer Graphics and Computer-Aided Design, Aerospace Engineering and Media Technology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (7 papers), CCD and CMOS Imaging Sensors (4 papers) and Calibration and Measurement Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (542 citations), Signal Processing (204 citations) and Media Technology (136 citations). P. M. Narendra has collaborated with scholars based in United States, Canada and Malaysia. Frequent co-authors include Keinosuke Fukunaga, M. Goldberg, Warren Koontz, Robert Fitch, Thomas S. Huang and Ipseeta Menon. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Computers.

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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