N. Sarkar

2.1k total citations · 1 hit paper
7 papers, 1.5k citations indexed

About

N. Sarkar is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics and Economics and Econometrics. According to data from OpenAlex, N. Sarkar has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Mathematical Physics and 2 papers in Economics and Econometrics. Recurrent topics in N. Sarkar's work include Image Retrieval and Classification Techniques (7 papers), Image Processing and 3D Reconstruction (3 papers) and Image and Signal Denoising Methods (2 papers). N. Sarkar is often cited by papers focused on Image Retrieval and Classification Techniques (7 papers), Image Processing and 3D Reconstruction (3 papers) and Image and Signal Denoising Methods (2 papers). N. Sarkar collaborates with scholars based in India. N. Sarkar's co-authors include B.B. Chaudhuri and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

N. Sarkar

7 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An efficient differential box-counting approach to compute fractal dimension of image

1994 646 citations N. Sarkar, B.B. Chaudhuri IEEE Transactions on Systems Man and Cybernetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
N. Sarkar India	7	634	236	209	163	130	7	1.5k
Richard M. Crownover United States	6	326 0.5×	150 0.6×	193 0.9×	54 0.3×	40 0.3×	7	895
Yao Hu China	27	991 1.6×	258 1.1×	71 0.3×	172 1.1×	51 0.4×	237	2.5k
Yi Zheng United States	23	430 0.7×	175 0.7×	62 0.3×	260 1.6×	357 2.7×	126	1.9k
Yuying Li China	17	255 0.4×	119 0.5×	20 0.1×	91 0.6×	111 0.9×	39	2.0k
Lingli Wang China	27	544 0.9×	265 1.1×	33 0.2×	214 1.3×	19 0.1×	259	2.8k
Huan Liu China	23	424 0.7×	652 2.8×	20 0.1×	367 2.3×	56 0.4×	184	2.2k
Antônio P. Braga Brazil	20	306 0.5×	891 3.8×	22 0.1×	54 0.3×	43 0.3×	134	1.9k
Μαρία Πέτρου United Kingdom	16	744 1.2×	208 0.9×	16 0.1×	283 1.7×	137 1.1×	76	1.4k
Jordan M. Malof United States	19	271 0.4×	611 2.6×	15 0.1×	189 1.2×	101 0.8×	87	2.1k
Per‐Erik Danielsson Sweden	13	890 1.4×	204 0.9×	12 0.1×	84 0.5×	241 1.9×	32	1.8k

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

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7 of 7 papers shown

1.

Chaudhuri, B.B. & N. Sarkar. (2003). An efficient approach to compute fractal dimension in texture image. 358–361. 9 indexed citations

2.

Chaudhuri, B.B. & N. Sarkar. (1995). Texture segmentation using fractal dimension. IEEE Transactions on Pattern Analysis and Machine Intelligence. 17(1). 72–77. 464 indexed citations

3.

Sarkar, N. & B.B. Chaudhuri. (1995). Multifractal and generalized dimensions of gray-tone digital images. Signal Processing. 42(2). 181–190. 38 indexed citations

4.

Sarkar, N. & B.B. Chaudhuri. (1994). An efficient differential box-counting approach to compute fractal dimension of image. IEEE Transactions on Systems Man and Cybernetics. 24(1). 115–120. 646 indexed citations breakdown →

5.

Chaudhuri, B.B., et al.. (1993). Detection and gradation of oriented texture. Pattern Recognition Letters. 14(2). 147–153. 43 indexed citations

6.

Chaudhuri, B.B., et al.. (1993). Improved fractal geometry based texture segmentation technique. IEE Proceedings E Computers and Digital Techniques. 140(5). 233–242. 48 indexed citations

7.

Sarkar, N. & B.B. Chaudhuri. (1992). An efficient approach to estimate fractal dimension of textural images. Pattern Recognition. 25(9). 1035–1041. 270 indexed citations

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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