Suvojit Acharjee

629 total citations
32 papers, 315 citations indexed

About

Suvojit Acharjee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Suvojit Acharjee has authored 32 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Suvojit Acharjee's work include Video Coding and Compression Technologies (12 papers), Advanced Vision and Imaging (9 papers) and Advanced Data Compression Techniques (7 papers). Suvojit Acharjee is often cited by papers focused on Video Coding and Compression Technologies (12 papers), Advanced Vision and Imaging (9 papers) and Advanced Data Compression Techniques (7 papers). Suvojit Acharjee collaborates with scholars based in India, Japan and Egypt. Suvojit Acharjee's co-authors include Nilanjan Dey, Sheli Sinha Chaudhuri, Sayan Chakraborty, Nobutaka Ikeda, Tadashi Araki, Andrew Nicolaides, Luca Saba, Jasjit S. Suri, Elisa Cuadrado‐Godia and Amira S. Ashour and has published in prestigious journals such as IEEE Access, Ultrasound in Medicine & Biology and Computer Methods and Programs in Biomedicine.

In The Last Decade

Suvojit Acharjee

31 papers receiving 299 citations

Peers

Suvojit Acharjee

CVPR

RNMI

PRM

CCM

Tae Hyun Kim South Korea

J.C. McEachen United States

Weiming Li China

Yu-Tai Ching Taiwan

Basma Abd El-Rahiem Egypt

Kaleem Arshid China

Yunendah Nur Fuadah Indonesia

Chien‐Cheng Chen Taiwan

Murtaza Ali Khan Saudi Arabia

Jie Tian China

Tae Hyun Kim South Korea

Suvojit Acharjee

236 ×1.4

CVPR

30 ×0.4

19 ×0.3

RNMI

46 ×0.8

PRM

22 ×0.4

CCM

Citations per year, relative to Suvojit Acharjee Suvojit Acharjee (= 1×) peers Tae Hyun Kim

Countries citing papers authored by Suvojit Acharjee

Since Specialization

Citations

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

Fields of papers citing papers by Suvojit Acharjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvojit Acharjee

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

All Works

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20 of 20 papers shown

Acharjee, Suvojit, et al.. (2025). MMLT: Efficient object tracking through machine learning-based meta-learning. Results in Engineering. 26. 104768–104768. 1 indexed citations

Acharjee, Suvojit, et al.. (2025). DWSD: Dense waste segmentation dataset. Data in Brief. 59. 111340–111340. 2 indexed citations

Nath, Biswajit, Wei Zhao, Ling Wang, et al.. (2024). Changes observed in land surface and air temperature after the Yushu (China) (6.9 Mw) and Kaikoura (New Zealand) (7.8 Mw) earthquakes using Landsat thermal and geophysical datasets. Journal of Earth System Science. 133(4).

Acharjee, Suvojit & Sheli Sinha Chaudhuri. (2023). Fuzzy inference based decision making model to control the operational parameters of motion estimation algorithms. International Journal of Information Technology. 15(4). 2197–2207. 5 indexed citations

Acharjee, Suvojit & Sheli Sinha Chaudhuri. (2022). Test Zone Search Optimization Using Cuckoo Search Algorithm for VVC. RePEc: Research Papers in Economics. 13(1). 1–16. 2 indexed citations

Ikeda, Nobutaka, Nilanjan Dey, Aditya Sharma, et al.. (2017). Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment. Computer Methods and Programs in Biomedicine. 141. 73–81. 31 indexed citations

Acharjee, Suvojit, et al.. (2016). A semiautomated approach using GUI for the detection of red blood cells. 525–529. 17 indexed citations

Araki, Tadashi, Nobutaka Ikeda, Nilanjan Dey, et al.. (2015). Shape‐Based Approach for Coronary Calcium Lesion Volume Measurement on Intravascular Ultrasound Imaging and Its Association With Carotid Intima‐Media Thickness. Journal of Ultrasound in Medicine. 34(3). 469–482. 26 indexed citations

Suri, Jasjit S., Nobutaka Ikeda, Ajay Gupta, et al.. (2015). 2083060 A New Technique For Compartmental-IMT Estimation in Presence of Bulb in Carotid Ultrasound Scans: a Stroke Risk Assessment System. Ultrasound in Medicine & Biology. 41(4). S74–S74. 1 indexed citations

10.

Acharjee, Suvojit, et al.. (2014). Motion vector estimation using parallel processing. 231–236. 6 indexed citations

11.

Acharjee, Suvojit, Sayan Chakraborty, Wahiba Ben Abdessalem Karâa, Ahmad Taher Azar, & Nilanjan Dey. (2014). Performance Evaluation of Different Cost Functions in Motion Vector Estimation. International Journal of Service Science Management Engineering and Technology. 5(1). 45–65. 12 indexed citations

12.

Acharjee, Suvojit, et al.. (2014). Effect of watermarking in vector quantization based image compression. 7. 503–508. 1 indexed citations

13.

Araki, Tadashi, et al.. (2014). Link between automated coronary calcium volumes from intravascular ultrasound to automated carotid IMT from B-mode ultrasound in coronary artery disease population.. PubMed. 33(4). 392–403. 21 indexed citations

14.

Chakraborty, Sayan, Nilanjan Dey, Siddhartha Nath, Suman Roy, & Suvojit Acharjee. (2014). Effects of rigid, affine, b-splines and demons registration on video content: A review. 497–502. 4 indexed citations

15.

Dey, Nilanjan, et al.. (2014). Electrocardiogram Feature Based Inter-human Biometric Authentication System. 300–304. 12 indexed citations

16.

Araki, Tadashi, Nobutaka Ikeda, Filippo Molinari, et al.. (2014). Effect of Geometric-Based Coronary Calcium Volume as a Feature Along with its Shape-Based Attributes for Cardiological Risk Prediction from Low Contrast Intravascular Ultrasound. Journal of Medical Imaging and Health Informatics. 4(2). 255–261. 10 indexed citations

17.

Chakrabarty, Sayan, et al.. (2014). Foliage area computation using Monarch Butterfly Algorithm. 214. 249–253. 9 indexed citations

18.

Acharjee, Suvojit, et al.. (2014). Watermarking in motion vector for security enhancement of medical videos. 532–537. 13 indexed citations

19.

Acharjee, Suvojit, et al.. (2012). A novel Block Matching Algorithmic Approach with smaller block size for motion vector estimation in video compression. 668–672. 20 indexed citations

20.

Acharjee, Suvojit & Sheli Sinha Chaudhuri. (2012). Fuzzy Logic Based Three Step Search Algorithm for Motion Vector Estimation. International Journal of Image Graphics and Signal Processing. 4(2). 37–43. 4 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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