Debdatta Kandar

1.1k total citations
54 papers, 615 citations indexed

About

Debdatta Kandar is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Debdatta Kandar has authored 54 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 13 papers in Computer Networks and Communications and 12 papers in Aerospace Engineering. Recurrent topics in Debdatta Kandar's work include Vehicular Ad Hoc Networks (VANETs) (15 papers), Brain Tumor Detection and Classification (10 papers) and Advanced SAR Imaging Techniques (8 papers). Debdatta Kandar is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (15 papers), Brain Tumor Detection and Classification (10 papers) and Advanced SAR Imaging Techniques (8 papers). Debdatta Kandar collaborates with scholars based in India, South Africa and Vietnam. Debdatta Kandar's co-authors include Arnab Kumar Maji, Ruhul Amin Hazarika, Khwairakpam Amitab, Samarendra Nath Sur, Ajith Abraham, Babu Sena Paul, Petr Krejčí, Michał Jasiński, Goutam Saha and Zbigniew Leonowicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer Networks.

In The Last Decade

Debdatta Kandar

53 papers receiving 572 citations

Peers

Debdatta Kandar

NEURO

CVPR

EEE

RNMI

K. Satya Prasad India

Loc Tran United States

R. Murugan India

Tripti Goel India

Haishun Du China

Iqbaldeep Kaur India

Manpreet Kaur India

Amit Verma India

Ramesh Kumar Sunkaria India

K. Satya Prasad India

Debdatta Kandar

100 ×0.4

NEURO

328 ×1.6

CVPR

145 ×0.9

94 ×0.9

EEE

64 ×0.7

RNMI

Citations per year, relative to Debdatta Kandar Debdatta Kandar (= 1×) peers K. Satya Prasad

Countries citing papers authored by Debdatta Kandar

Since Specialization

Citations

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

Fields of papers citing papers by Debdatta Kandar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debdatta Kandar

This figure shows the co-authorship network connecting the top 25 collaborators of Debdatta Kandar. A scholar is included among the top collaborators of Debdatta Kandar 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 Debdatta Kandar. Debdatta Kandar 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

Sur, Samarendra Nath, et al.. (2025). Detection of concealed object using terahertz images: A comprehensive review. Engineering Applications of Artificial Intelligence. 148. 110432–110432.

Sur, Samarendra Nath, et al.. (2024). Efficient load distribution in heterogeneous vehicular networks using hierarchical controllers. Computer Networks. 254. 110805–110805. 4 indexed citations

Sur, Samarendra Nath, et al.. (2024). Sum-Rate Maximization for a Hybrid Precoding-Based Massive MIMO NOMA System with Simultaneous Wireless Information and Power Transmission. SHILAP Revista de lepidopterología. 5(3). 823–845. 2 indexed citations

Hazarika, Ruhul Amin, Arnab Kumar Maji, Debdatta Kandar, et al.. (2023). An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI). Electronics. 12(3). 676–676. 44 indexed citations

Hazarika, Ruhul Amin, Arnab Kumar Maji, Debdatta Kandar, et al.. (2023). An evaluation on changes in hippocampus size for cognitively normal, mild cognitive impairment, and Alzheimer’s disease patients using fuzzy membership function. Innovations in Systems and Software Engineering. 21(1). 287–301. 1 indexed citations

Sur, Samarendra Nath, et al.. (2023). Synthetic Aperture Radar image analysis based on deep learning: A review of a decade of research. Engineering Applications of Artificial Intelligence. 123. 106305–106305. 15 indexed citations

Kandar, Debdatta, et al.. (2023). A Novel Load Balancing Approach in Internet of Vehicles (IoV). 1–5. 1 indexed citations

Kandar, Debdatta, et al.. (2023). A study on the channel bonding in IoT networks: Requirements, applications, and challenges. International Journal of Communication Systems. 36(6). 4 indexed citations

Sur, Samarendra Nath, et al.. (2022). SAR Image Classification: A Comprehensive Study and Analysis. IEEE Access. 10. 20385–20399. 19 indexed citations

10.

Hazarika, Ruhul Amin, Debdatta Kandar, & Arnab Kumar Maji. (2021). An experimental analysis of different Deep Learning based Models for Alzheimer’s Disease classification using Brain Magnetic Resonance Images. Journal of King Saud University - Computer and Information Sciences. 34(10). 8576–8598. 61 indexed citations

11.

Kumar, V. Dhilip, et al.. (2021). Extended Communication Range for Autonomous Vehicles using Hybrid DSRC/WiMAX Technology. Wireless Personal Communications. 123(3). 2301–2316. 3 indexed citations

12.

Amitab, Khwairakpam, et al.. (2020). Handwritten Character Recognition from Images using CNN-ECOC. Procedia Computer Science. 167. 2403–2409. 65 indexed citations

13.

Maji, Bansibadan, et al.. (2020). Integration of hybrid communication and remote sensing for ITS application. Telecommunication Systems. 74(4). 511–529. 1 indexed citations

14.

Amitab, Khwairakpam, Arnab Kumar Maji, & Debdatta Kandar. (2018). Speckle noise filtering in SAR images using fuzzy logic and particle swarm optimization. Journal of Computational Methods in Sciences and Engineering. 18(4). 859–873. 9 indexed citations

15.

Maji, Bansibadan, et al.. (2018). A hybrid V2V system for collision‐free high‐speed internet access in intelligent transportation system. Transactions on Emerging Telecommunications Technologies. 29(3). 4 indexed citations

16.

Amitab, Khwairakpam, et al.. (2017). Noise reduction in synthetic aperture radar images using fuzzy logic and genetic algorithm. Microsystem Technologies. 25(5). 1743–1752. 11 indexed citations

17.

Kumar, V. Dhilip, et al.. (2016). Performance analysis of hybrid WiMAX/DSRC scenarios for vehicular communication environment. Microsystem Technologies. 23(9). 4231–4236. 6 indexed citations

18.

Ghosh, Saswati, Debashis De, & Debdatta Kandar. (2012). A double layered additive space sequenced Audio Steganography Technique for mobile network. 15. 29–33. 4 indexed citations

19.

Kandar, Debdatta. (2010). An approach to converge communication and RADAR technologies for intelligent transportation system. Indian Journal of Science and Technology. 3(4). 417–421. 5 indexed citations

20.

Bera, Rabindranath, et al.. (2009). Vehicular communication and safety in realization of intelligent transport system. 1–4. 3 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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