Nibaran Das

3.8k total citations
109 papers, 1.9k citations indexed

About

Nibaran Das is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Nibaran Das has authored 109 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Vision and Pattern Recognition, 43 papers in Media Technology and 40 papers in Artificial Intelligence. Recurrent topics in Nibaran Das's work include Handwritten Text Recognition Techniques (55 papers), Vehicle License Plate Recognition (38 papers) and Image Processing and 3D Reconstruction (20 papers). Nibaran Das is often cited by papers focused on Handwritten Text Recognition Techniques (55 papers), Vehicle License Plate Recognition (38 papers) and Image Processing and 3D Reconstruction (20 papers). Nibaran Das collaborates with scholars based in India, United States and Portugal. Nibaran Das's co-authors include Mita Nasipuri, Mahantapas Kundu, Subhadip Basu, Ram Sarkar, Dipak Kumar Basu, KC Santosh, Ritesh Sarkhel, Sk Md Obaidullah, Kaushik Roy and Swarnendu Ghosh and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Pattern Recognition.

In The Last Decade

Nibaran Das

106 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nibaran Das India 24 1.4k 832 583 200 134 109 1.9k
M. Shridhar Canada 23 1.8k 1.3× 670 0.8× 630 1.1× 141 0.7× 25 0.2× 140 2.2k
Samir Malakar India 21 730 0.5× 305 0.4× 400 0.7× 48 0.2× 16 0.1× 63 1.1k
Mhamed Sayyouri Morocco 27 1.5k 1.0× 251 0.3× 288 0.5× 21 0.1× 28 0.2× 104 1.9k
Baozong Yuan China 12 866 0.6× 148 0.2× 237 0.4× 49 0.2× 111 0.8× 120 1.2k
Hicham Karmouni Morocco 25 1.2k 0.8× 186 0.2× 274 0.5× 18 0.1× 29 0.2× 90 1.6k
Bing‐Kun Bao China 19 926 0.7× 137 0.2× 311 0.5× 85 0.4× 40 0.3× 85 1.3k
Yuandong Tian United States 20 1.4k 1.0× 104 0.1× 888 1.5× 15 0.1× 85 0.6× 47 1.9k
Nicolás Guil Spain 16 734 0.5× 106 0.1× 146 0.3× 107 0.5× 95 0.7× 87 1.0k

Countries citing papers authored by Nibaran Das

Since Specialization
Citations

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

Fields of papers citing papers by Nibaran Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nibaran Das

This figure shows the co-authorship network connecting the top 25 collaborators of Nibaran Das. A scholar is included among the top collaborators of Nibaran Das 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 Nibaran Das. Nibaran Das 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
1.
Bhattacharyya, Siddhartha, et al.. (2025). ResQ: A hybrid classical-quantum model for efficient breast cancer image classification. Applied Soft Computing. 183. 113631–113631. 2 indexed citations
2.
Das, Nibaran, et al.. (2023). An empirical study on analysis window functions for text-independent speaker recognition. International Journal of Speech Technology. 26(1). 211–220. 1 indexed citations
3.
Nasipuri, Mita, et al.. (2022). Variational Augmentation for Enhancing Historical Document Image Binarization✱. 1–7. 3 indexed citations
4.
Nasipuri, Mita, et al.. (2022). GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images. Computers in Biology and Medicine. 152. 106329–106329. 10 indexed citations
5.
Dey, Aritra, et al.. (2020). Handwritten Tibetan Character recognition based on ELM using modified HOG features. 451–456. 5 indexed citations
6.
Ghosh, Swarnendu, et al.. (2020). Using thermal intensities to build conditional random fields for object segmentation at night. 1–6. 6 indexed citations
7.
Das, Nibaran, et al.. (2020). Weber local descriptor for image analysis and recognition: a survey. The Visual Computer. 38(1). 321–343. 19 indexed citations
8.
Ghosh, Swarnendu, et al.. (2019). GSD-Net: Compact Network for Pixel-Level Graphical Symbol Detection. 68–73. 5 indexed citations
9.
Ghosh, Swarnendu, Nibaran Das, Teresa Gonçalves, Paulo Quaresma, & Mahantapas Kundu. (2017). The journey of graph kernels through two decades. Computer Science Review. 27. 88–111. 50 indexed citations
10.
Das, Nibaran, et al.. (2016). A multi-cue information based approach to contour detection by utilizing superpixel segmentation. 6. 1057–1063. 1 indexed citations
11.
Obaidullah, Sk Md, Nibaran Das, & Kaushik Roy. (2015). Convolution Based Technique for Indic Script Identification from Handwritten Document Images. International Journal of Image Graphics and Signal Processing. 7(5). 49–57. 4 indexed citations
12.
Sarkar, Ram, Nibaran Das, Subhadip Basu, Mahantapas Kundu, & Mita Nasipuri. (2013). Extraction of Text Lines from Handwritten Documents Using Piecewise Water Flow Technique. SHILAP Revista de lepidopterología. 23(3). 245–260. 1 indexed citations
13.
Das, Nibaran, et al.. (2012). Region selection in handwritten character recognition using Artificial Bee Colony Optimization. 183–186. 10 indexed citations
14.
Sarkar, Ram, et al.. (2011). Word extraction from unconstrained handwritten Bangla document images using Spiral Run Length Smearing Algorithm.. Indian International Conference on Artificial Intelligence. 32–46. 3 indexed citations
15.
Malakar, Samir, et al.. (2011). An improved offline handwritten character segmentation algorithm for Bangla script.. Indian International Conference on Artificial Intelligence. 71–90. 10 indexed citations
16.
Sarkar, Ram, et al.. (2011). Suppression of non-text components in handwritten document images. 8. 1–7. 12 indexed citations
17.
Das, Nibaran, Subhadip Basu, Ram Sarkar, Mahantapas Kundu, & Mita Nasipuri. (2009). Handwritten Bangla Compound character recognition: Potential challenges and probable solution.. Indian International Conference on Artificial Intelligence. 1901–1913. 12 indexed citations
18.
Sarkar, Ram, Subhadip Basu, Nibaran Das, et al.. (2009). Line Extraction from Unconstraint Handwritten Document Pages using Piece-wise Water-flow Technique.. Indian International Conference on Artificial Intelligence. 1861–1872. 4 indexed citations
19.
Basu, Subhadip, Nibaran Das, Ram Sarkar, et al.. (2005). An MLP based Approach for Recognition of Handwritten 'Bangla' Numerals. arXiv (Cornell University). 407–417. 17 indexed citations
20.
Pattnaik, Shyam S., Ragini Mishra, & Nibaran Das. (1991). Microstrip antenna on a ferrite substrate in plasma medium. 20. 417–419. 1 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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