Nibaran Das

3.8k citations
109 papers · 1.9k · h-index 24

Impact in

Papers in

    • Handwritten Text Recognition Techniques 55
    • Image Processing and 3D Reconstruction 20
    • Image Retrieval and Classification Techniques 18
    • Advanced Image and Video Retrieval Techniques 10
    • Vehicle License Plate Recognition 38

Nibaran Das

106 papers receiving 1.8k citations

Peers

Nibaran Das
Comparison fields: 5 of 124
  • Media Technology 832
  • Computer Vision and Pattern Recognition 1.4k
  • Human-Computer Interaction 200
  • Artificial Intelligence 583
  • Neurology 46
Replace Samir Malakar with:
Samir Malakar India
Mhamed Sayyouri Morocco
M. Shridhar Canada
Hicham Karmouni Morocco
Baozong Yuan China
Bing‐Kun Bao China
Zhilu Wu China
Chuan-Xian Ren China
Anurag Mittal India
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Citations per field
00.5×9.7×
Samir Malakar · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Nibaran Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nibaran Das Line = papers co-authored together Nibaran Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012119
2 201784
3 201182
4 201279
5 201673
6 201773
7 200970
8 202165
9 201461
10 201058
11 199353
12 201750
13 201747
14 201945
15 201942
16 201440
17 201737
18 201936
19 201930
20 200728

About Nibaran Das

Nibaran Das is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Aerospace Engineering and Electrical and Electronic Engineering, having authored 109 papers that have together received 1.9k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (55 papers), Vehicle License Plate Recognition (38 papers), Image Processing and 3D Reconstruction (20 papers), Image Retrieval and Classification Techniques (18 papers), Text and Document Classification Technologies (10 papers), Antenna Design and Analysis (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Antenna and Metasurface Technologies (9 papers). The work is most often cited by research in Media Technology (832 citations), Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (200 citations), Artificial Intelligence (583 citations) and Neurology (46 citations). Nibaran Das has collaborated with scholars based in India, United States and Portugal. Frequent 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. Their work appears in journals such as Pattern Recognition, Multimedia Tools and Applications, Pattern Recognition Letters, International Journal of Machine Learning and Cybernetics and IEEE Transactions on Antennas and Propagation.

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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