Santanu Phadikar

2.1k total citations
63 papers, 1.2k citations indexed

About

Santanu Phadikar is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Santanu Phadikar has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 29 papers in Signal Processing and 19 papers in Computer Networks and Communications. Recurrent topics in Santanu Phadikar's work include Speech and Audio Processing (18 papers), Speech Recognition and Synthesis (16 papers) and Music and Audio Processing (14 papers). Santanu Phadikar is often cited by papers focused on Speech and Audio Processing (18 papers), Speech Recognition and Synthesis (16 papers) and Music and Audio Processing (14 papers). Santanu Phadikar collaborates with scholars based in India, United States and Norway. Santanu Phadikar's co-authors include Jaya Sil, Koushik Majumder, Asit Kumar Das, Ishita Bhakta, Himadri Mukherjee, Mukta Majumder, Arif Ahmed Sekh, Kaushik Roy, Sk Md Obaidullah and KC Santosh and has published in prestigious journals such as Journal of the Science of Food and Agriculture, Computers and Electronics in Agriculture and Computer Networks.

In The Last Decade

Santanu Phadikar

58 papers receiving 1.1k citations

Peers

Santanu Phadikar

CNC

Guillermo L. Grinblat Argentina

Yasir Hamid United Arab Emirates

Lucas C. Uzal Argentina

Srdjan Sladojević Serbia

Guan Wang China

Ashish Kumar Tripathi India

Andraš Anderla Serbia

Marko Arsenović Serbia

Sarfraz Nawaz Brohi Malaysia

M. Hemalatha India

Guillermo L. Grinblat Argentina

Santanu Phadikar

510 ×0.9

94 ×0.3

194 ×0.6

63 ×0.3

CNC

138 ×0.8

Citations per year, relative to Santanu Phadikar Santanu Phadikar (= 1×) peers Guillermo L. Grinblat

Countries citing papers authored by Santanu Phadikar

Since Specialization

Citations

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

Fields of papers citing papers by Santanu Phadikar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santanu Phadikar

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Phadikar, Santanu, et al.. (2024). Isolated word recognition based on a hyper-tuned cross-validated CNN-BiLSTM from Mel Frequency Cepstral Coefficients. Multimedia Tools and Applications. 84(17). 17309–17328. 1 indexed citations

Sau, Arkaprabha, et al.. (2024). Global and Indian Scenarios of Fatal and Non-fatal Occupational Injuries: A Secondary Data Analysis. Indian Journal of Occupational and Environmental Medicine. 28(4). 282–287.

Phadikar, Santanu, et al.. (2023). RAttSR: A Novel Low-Cost Reconstructed Attention-Based End-to-End Speech Recognizer. Circuits Systems and Signal Processing. 43(4). 2454–2476. 2 indexed citations

Majumder, Mukta, et al.. (2023). A Visual Attention-Based Model for Bengali Image Captioning. SN Computer Science. 4(2). 3 indexed citations

Phadikar, Santanu, et al.. (2023). Machine learning approach of speech emotions recognition using feature fusion technique. Multimedia Tools and Applications. 83(3). 8663–8688. 10 indexed citations

Phadikar, Santanu, et al.. (2023). A hybrid feature-extracted deep CNN with reduced parameters substitutes an End-to-End CNN for the recognition of spoken Bengali digits. Multimedia Tools and Applications. 83(1). 1669–1692. 3 indexed citations

Majumder, Mukta, et al.. (2021). Multiple-choice question generation with auto-generated distractors for computer-assisted educational assessment. Multimedia Tools and Applications. 80(21-23). 31907–31925. 14 indexed citations

Majumder, Koushik, et al.. (2020). Enhancing live virtual machine migration process via optimized resource allocation in next generation mobile edge network: A hybrid evolutionary approach. International Journal of Communication Systems. 33(12). 3 indexed citations

Ghosh, Partha, et al.. (2020). A Novel SNN-ANN based IDS in Cloud Environment. 913–918. 1 indexed citations

10.

Mukherjee, Himadri, Ankita Dhar, Sk Md Obaidullah, Santanu Phadikar, & Kaushik Roy. (2020). Image-based features for speech signal classification. Multimedia Tools and Applications. 79(47-48). 34913–34929. 6 indexed citations

11.

Majumder, Koushik, et al.. (2020). Distributed resource management in dew based edge to cloud computing ecosystem: A hybrid adaptive evolutionary approach. Transactions on Emerging Telecommunications Technologies. 31(8). 9 indexed citations

12.

Bhakta, Ishita, et al.. (2019). Tsalli’s Entropy-based Segmentation Method for Accurate Pigmented Skin Lesion Identification. IETE Journal of Research. 68(1). 743–759. 5 indexed citations

13.

Mukherjee, Himadri, Sk Md Obaidullah, Santanu Phadikar, & Kaushik Roy. (2018). A Dravidian Language Identification System. 2654–2657. 5 indexed citations

14.

Majumder, Mukta, et al.. (2018). A Novel System for Generating Simple Sentences from Complex and Compound Sentences. International Journal of Modern Education and Computer Science. 10(1). 57–64. 13 indexed citations

15.

Mukherjee, Himadri, Ankita Dhar, Santanu Phadikar, & Kaushik Roy. (2017). RECAL — A language identification system. 2. 300–304. 9 indexed citations

16.

Ghosh, Partha, et al.. (2017). IDS Using Reinforcement Learning Automata for Preserving Security in Cloud Environment. International Journal of Information System Modeling and Design. 8(4). 21–37. 8 indexed citations

17.

Ghosh, Partha, et al.. (2016). A Cloud Intrusion Detection System Using Novel PRFCM Clustering and KNN Based Dempster-Shafer Rule. International Journal of Cloud Applications and Computing. 6(4). 18–35. 6 indexed citations

18.

Phadikar, Santanu, et al.. (2016). Vegetation indices based segmentation for automatic classification of brown spot and blast diseases of rice. 284–289. 34 indexed citations

19.

Ghosh, Partha, et al.. (2016). Penalty-Reward Based Instance Selection Method in Cloud Environment Using the Concept of Nearest Neighbor. Procedia Computer Science. 89. 82–89. 4 indexed citations

20.

Phadikar, Santanu, et al.. (2011). FEATURE SELECTION BY ATTRIBUTE CLUSTERING OF INFECTED RICE PLANT IMAGES. 3(2). 74–88. 5 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.

Explore authors with similar magnitude of impact