Ujjwal Bhattacharya

3.0k citations
91 papers · 1.9k indexed · h-index 22

Ujjwal Bhattacharya

84 papers receiving 1.7k citations

Peers

Ujjwal Bhattacharya
Comparison fields: 5 of 123
  • Media Technology 845
  • Computer Vision and Pattern Recognition 1.5k
  • Human-Computer Interaction 292
  • Artificial Intelligence 582
  • Signal Processing 78
Replace Ezzeddine Zagrouba with:
Ezzeddine Zagrouba Tunisia
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Hanting Chen China
Chunheng Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Ujjwal Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Ujjwal Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ujjwal Bhattacharya, 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 Ujjwal Bhattacharya Line = papers co-authored together Ujjwal Bhattacharya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20236
4 20231
5 202273
6 20213
7 20202
8
ClueNet : A Deep Framework for Occluded Pedestrian Pose Estimation.
201917
9 20166
10 20169
11 2015118
12 201519
13 201411
14 201313
15 201030
16 2009230
17 200733
18
Two-stage Recognition of Handwritten Bangla Alphanumeric Characters using Neural Classifiers.
20059
19
A Cascaded Scheme for Recognition of Handprinted Numerals.
20027
20 200218

About Ujjwal Bhattacharya

Ujjwal Bhattacharya is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Media Technology, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (59 papers), Vehicle License Plate Recognition (29 papers), Hand Gesture Recognition Systems (24 papers), Image Processing and 3D Reconstruction (16 papers), Image Retrieval and Classification Techniques (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Video Surveillance and Tracking Methods (7 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Media Technology (845 citations), Computer Vision and Pattern Recognition (1.5k citations) and Human-Computer Interaction (292 citations). Ujjwal Bhattacharya has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include B.B. Chaudhuri, Swapan K. Parui, Swapan Kumar Parui, Sudip Das, Arindam Das, Bhumika Gupta, Senthil Yogamani, Shijian Lu, Chew Lim Tan and Qingqing Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

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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