Subhas C. Nandy

71 papers receiving 390 citations

Peers

Subhas C. Nandy
Comparison fields: 5 of 65
  • Computer Graphics and Computer-Aided Design 183
  • Computer Networks and Communications 101
  • Computer Vision and Pattern Recognition 100
  • Signal Processing 96
  • Electrical and Electronic Engineering 85
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Countries citing papers authored by Subhas C. Nandy

Since Specialization
Citations

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

Fields of papers citing papers by Subhas C. Nandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhas C. Nandy. 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 Subhas C. Nandy. The network helps show where Subhas C. Nandy may publish in the future.

Co-authorship network of co-authors of Subhas C. Nandy

This figure shows the co-authorship network connecting the top 25 collaborators of Subhas C. Nandy. A scholar is included among the top collaborators of Subhas C. Nandy 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 Subhas C. Nandy. Subhas C. Nandy 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
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3 1
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Maximum Independent Set for Interval Graphs and Trees in Space Efficient Models.
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5 2
6 2
7 1
8
Approximation Algorithms for the Discrete Piercing Set Problem for Unit Disks
5
9
Space-efficient Algorithms for Empty Space Recognition among a Point Set in 2D and 3D.
4
10
An In-Place Priority Search Tree
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11
Computing the Straight Skeleton of a Monotone Polygon in O(nlogn) Time
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Cluster connecting problem inside a polygon.
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13
New Variations of the Reverse Facility Location Problem
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14 2
15 6
16 5
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A Fast Algorithm for Point Labeling Problem.
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18 10
19 4
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Shooter Location Problem
1

About Subhas C. Nandy

Subhas C. Nandy is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 411 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (51 papers), Digital Image Processing Techniques (18 papers) and Data Management and Algorithms (18 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (183 citations), Signal Processing (96 citations) and Industrial and Manufacturing Engineering (55 citations). Subhas C. Nandy has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Bhargab B. Bhattacharya, Sandip Das, Gautam K. Das, Sasanka Roy, Bhaswar B. Bhattacharya, Arijit Bishnu, T. Krishnan, Bhabani P. Sinha, Susmita Sur‐Kolay and Gautam Das. Their work appears in journals such as European Journal of Operational Research, Pattern Recognition and Computers & Mathematics with Applications.

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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