N. Sarkar

2.1k citations
7 papers · 1.5k indexed · 1 hit paper · h-index 7
Co-authors
B.B. Chaudhuri
Topics
Image Retrieval and Classification Techniques (7 papers)Image Processing and 3D Reconstruction (3 papers)Image and Signal Denoising Methods (2 papers)
Partner nations
India

In The Last Decade

N. Sarkar

7 papers receiving 1.4k citations

Hit Papers

An efficient differential box-counting approach to comput...19942026200420151994200400600

Peers

N. Sarkar
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 634
  • Artificial Intelligence 236
  • Economics and Econometrics 209
  • Media Technology 163
  • Radiology, Nuclear Medicine and Imaging 130
Replace Richard M. Crownover with:
Richard M. Crownover United States
Yuying Li China
Junji Maeda Japan
Eduard Gröller Austria
Shuang Zhao China
Azeddine Beghdadi France
Yi Zheng United States
Μαρία Πέτρου United Kingdom
Per‐Erik Danielsson Sweden
A. Oosterlinck Belgium
N. Sarkar relative to Richard M. Crownover United States Richard M. Crownover's profile →
Citations per field
00.5×6.8×
Richard M. Crownover · 1×
Citations per year

Countries citing papers authored by N. Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by N. Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Sarkar

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 9
2 464
3 38
4
An efficient differential box-counting approach to compute fractal dimension of imagebreakdown →
646
5 43
6 48
7 270

About N. Sarkar

N. Sarkar is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics and Condensed Matter Physics, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (7 papers), Image Processing and 3D Reconstruction (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (634 citations), Media Technology (163 citations) and Biophysics (82 citations). N. Sarkar has collaborated with scholars based in India. Frequent co-authors include B.B. Chaudhuri. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition 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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