Debanjan Konar

769 total citations
31 papers, 433 citations indexed

About

Debanjan Konar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Debanjan Konar has authored 31 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Debanjan Konar's work include Advanced Memory and Neural Computing (6 papers), Brain Tumor Detection and Classification (6 papers) and Neural Networks and Applications (5 papers). Debanjan Konar is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Brain Tumor Detection and Classification (6 papers) and Neural Networks and Applications (5 papers). Debanjan Konar collaborates with scholars based in India, United States and Germany. Debanjan Konar's co-authors include Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Kalpana Sharma, Siddhartha Bhattacharyya, Richard Jiang, Tapan Kumar Gandhi, Nilanjan Dey, Mousumi Gupta, Nabendu Chaki and Attila Cangi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Applied Soft Computing.

In The Last Decade

Debanjan Konar

29 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debanjan Konar India 11 221 77 75 54 51 31 433
Lianhua Chi Australia 16 373 1.7× 136 1.8× 47 0.6× 133 2.5× 85 1.7× 57 669
Li Guo China 11 254 1.1× 261 3.4× 40 0.5× 35 0.6× 35 0.7× 66 524
Yadunath Pathak India 10 294 1.3× 132 1.7× 327 4.4× 43 0.8× 35 0.7× 19 619
Samar M. Alqhtani Saudi Arabia 14 178 0.8× 134 1.7× 97 1.3× 82 1.5× 71 1.4× 45 517
Poonam Sharma India 12 105 0.5× 161 2.1× 29 0.4× 35 0.6× 33 0.6× 51 439
Salima Ouadfel Algeria 13 287 1.3× 200 2.6× 29 0.4× 16 0.3× 28 0.5× 27 530
Muhammad Shahbaz Khan United Kingdom 8 90 0.4× 92 1.2× 54 0.7× 25 0.5× 15 0.3× 40 300
Sandip Dey India 10 242 1.1× 181 2.4× 22 0.3× 29 0.5× 33 0.6× 31 436
Yanpeng Qu China 13 248 1.1× 109 1.4× 25 0.3× 32 0.6× 72 1.4× 49 388
A. Manikandan India 15 156 0.7× 103 1.3× 33 0.4× 186 3.4× 60 1.2× 43 545

Countries citing papers authored by Debanjan Konar

Since Specialization
Citations

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

Fields of papers citing papers by Debanjan Konar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debanjan Konar

This figure shows the co-authorship network connecting the top 25 collaborators of Debanjan Konar. A scholar is included among the top collaborators of Debanjan Konar 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 Debanjan Konar. Debanjan Konar 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.
Maraveas, Chrysanthos, et al.. (2024). Harnessing quantum computing for smart agriculture: Empowering sustainable crop management and yield optimization. Computers and Electronics in Agriculture. 218. 108680–108680. 33 indexed citations
2.
Zhu, Yijie, Ahmed Bouridane, M. Emre Celebi, et al.. (2024). Quantum Face Recognition With Multigate Quantum Convolutional Neural Network. IEEE Transactions on Artificial Intelligence. 5(12). 6330–6341. 7 indexed citations
3.
Konar, Debanjan, et al.. (2024). Quantum-Enhanced Spiking Neural Networks. 490–491.
4.
Bhattacharyya, Siddhartha, Debashis De, Sergey Gorbachev, & Debanjan Konar. (2023). Virtual special issue on quantum inspired soft computing for intelligent data processing guest editorial. Applied Soft Computing. 151. 111156–111156.
5.
Konar, Debanjan, et al.. (2023). Deep Spiking Quantum Neural Network for Noisy Image Classification. 1–10. 3 indexed citations
6.
Bhattacharyya, Siddhartha, Sandip Dey, Debanjan Konar, et al.. (2023). A Review of Quantum-Inspired Metaheuristic Algorithms for Automatic Clustering. Mathematics. 11(9). 2018–2018. 9 indexed citations
7.
Konar, Debanjan, et al.. (2023). Random Quantum Neural Networks for Noisy Image Recognition. 276–277. 4 indexed citations
8.
Chandra, Satish, Mahendra Kumar Gourisaria, Harshvardhan GM, et al.. (2022). Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access. 10. 13715–13727. 25 indexed citations
9.
Konar, Debanjan, Bijaya Ketan Panigrahi, Siddhartha Bhattacharyya, Nilanjan Dey, & Richard Jiang. (2021). Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network. IEEE Access. 9. 28716–28728. 44 indexed citations
10.
Bhattacharyya, Siddhartha, Sandip Dey, & Debanjan Konar. (2019). A Novel Qutrit Based Quantum Ant Colony Optimization for Multi-level Thresholding. 1375–1380. 1 indexed citations
11.
Gupta, Mousumi, et al.. (2019). Computer Vision and Machine Intelligence in Medical Image Analysis. Advances in intelligent systems and computing. 32 indexed citations
12.
Bhattacharyya, Siddhartha, et al.. (2019). Hybrid Machine Intelligence for Medical Image Analysis. Studies in computational intelligence. 10 indexed citations
13.
Konar, Debanjan, Siddhartha Bhattacharyya, Sandip Dey, & Bijaya Ketan Panigrahi. (2019). Opti-QIBDS Net: A Quantum-Inspired Optimized Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation. 761–766. 7 indexed citations
14.
Konar, Debanjan, et al.. (2019). Automatic short answer grading using rough concept clusters. International Journal of Advanced Intelligence Paradigms. 14(3/4). 260–260. 2 indexed citations
16.
Konar, Debanjan, et al.. (2017). An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system. Applied Soft Computing. 53. 296–307. 65 indexed citations
17.
Konar, Debanjan, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, & Kazumi Nakamatsu. (2016). A quantum bi-directional self-organizing neural network (QBDSONN) architecture for binary object extraction from a noisy perspective. Applied Soft Computing. 46. 731–752. 15 indexed citations
19.
Konar, Debanjan, et al.. (2015). A Comparative Study on Dynamic Scheduling of Real-Time Tasks in Multiprocessor System using Genetic Algorithms. International Journal of Computer Applications. 120(20). 1–6. 1 indexed citations
20.
Konar, Debanjan, Siddhartha Bhattacharyya, Nibaran Das, & Bijaya Ketan Panigrahi. (2015). A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) for binary image denoising. 1225–1230. 6 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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