Himadri Mukherjee

1.3k total citations
49 papers, 643 citations indexed

About

Himadri Mukherjee is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Himadri Mukherjee has authored 49 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 20 papers in Signal Processing and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Himadri Mukherjee's work include Music and Audio Processing (17 papers), Speech and Audio Processing (15 papers) and Handwritten Text Recognition Techniques (12 papers). Himadri Mukherjee is often cited by papers focused on Music and Audio Processing (17 papers), Speech and Audio Processing (15 papers) and Handwritten Text Recognition Techniques (12 papers). Himadri Mukherjee collaborates with scholars based in India, United States and United Arab Emirates. Himadri Mukherjee's co-authors include Kaushik Roy, Sk Md Obaidullah, KC Santosh, Ankita Dhar, Subhankar Ghosh, Santanu Phadikar, Mridul Ghosh, Nibaran Das, Mufti Mahmud and Ishita Bhakta and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Artificial Intelligence Review.

In The Last Decade

Himadri Mukherjee

45 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Himadri Mukherjee India 12 315 202 136 134 76 49 643
Sk Md Obaidullah India 15 335 1.1× 221 1.1× 130 1.0× 413 3.1× 82 1.1× 72 844
Dimitris Spathis United Kingdom 14 216 0.7× 101 0.5× 120 0.9× 122 0.9× 127 1.7× 33 621
Jagmohan Chauhan United Kingdom 13 152 0.5× 78 0.4× 245 1.8× 116 0.9× 78 1.0× 35 634
Deevyankar Agarwal Spain 6 182 0.6× 185 0.9× 8 0.1× 81 0.6× 38 0.5× 10 413
Esraa Hassan Egypt 9 154 0.5× 99 0.5× 19 0.1× 104 0.8× 11 0.1× 13 400
Nandhini Subramanian Qatar 9 132 0.4× 140 0.7× 18 0.1× 251 1.9× 34 0.4× 22 502
Md. Rashed-Al-Mahfuz Bangladesh 10 185 0.6× 130 0.6× 54 0.4× 50 0.4× 26 0.3× 15 585
Omar Hisham Alsadoon Iraq 11 149 0.5× 83 0.4× 42 0.3× 129 1.0× 26 0.3× 37 375
Emrah Irmak Türkiye 9 186 0.6× 196 1.0× 6 0.0× 251 1.9× 20 0.3× 14 475
Samabia Tehsin Pakistan 12 247 0.8× 148 0.7× 17 0.1× 361 2.7× 5 0.1× 33 590

Countries citing papers authored by Himadri Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Himadri Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Himadri Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Himadri Mukherjee. A scholar is included among the top collaborators of Himadri Mukherjee 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 Himadri Mukherjee. Himadri Mukherjee 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.
Chatterjee, Somnath, Himadri Mukherjee, Shibaprasad Sen, Sk Md Obaidullah, & Kaushik Roy. (2023). City name recognition for Indian postal automation: Exploring script dependent and independent approach. Multimedia Tools and Applications. 83(8). 22371–22394. 3 indexed citations
2.
Dhar, Ankita, et al.. (2023). Hybrid approach for text categorization: A case study with Bangla news article. Journal of Information Science. 49(3). 762–777.
3.
Mukherjee, Himadri, et al.. (2023). A bi-stage approach to North Indian raga distinction. Multimedia Tools and Applications. 83(15). 45163–45183. 1 indexed citations
4.
Mukherjee, Himadri, et al.. (2023). Fetal Health Classification from Cardiotocograph for Both Stages of Labor—A Soft-Computing-Based Approach. Diagnostics. 13(5). 858–858. 19 indexed citations
5.
Ghosh, Mridul, et al.. (2021). Understanding movie poster: transfer-deep learning approach for graphic-rich text recognition. The Visual Computer. 38(5). 1645–1664. 13 indexed citations
6.
Mukherjee, Himadri, Subhankar Ghosh, Ankita Dhar, et al.. (2021). Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays. Cognitive Computation. 16(4). 1695–1708. 68 indexed citations
7.
Mukherjee, Himadri, Ankita Dhar, Sk Md Obaidullah, et al.. (2021). Automatic Lung Health Screening Using Respiratory Sounds. Journal of Medical Systems. 45(2). 19–19. 42 indexed citations
8.
Muzammel, Muhammad, Alice Othmani, Himadri Mukherjee, & Hanan Salam. (2021). Identification of Signs of Depression Relapse using Audio-visual Cues: A Preliminary Study. SPIRE - Sciences Po Institutional REpository. 3. 62–67. 10 indexed citations
9.
Ghosh, Mridul, Himadri Mukherjee, Sk Md Obaidullah, et al.. (2021). LWSINet: A deep learning-based approach towards video script identification. Multimedia Tools and Applications. 80(19). 29095–29128. 11 indexed citations
10.
Mukherjee, Himadri, Hanan Salam, Alice Othmani, & KC Santosh. (2021). How Intense Are Your Words? Understanding Emotion Intensity from Speech. 2021 IEEE 21st International Conference on Communication Technology (ICCT). 1380. 1280–1286. 4 indexed citations
11.
Ghosh, Mridul, et al.. (2021). Movie Title Extraction and Script Separation Using Shallow Convolution Neural Network. IEEE Access. 9. 125184–125201. 8 indexed citations
12.
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
13.
Mukherjee, Himadri, Subhankar Ghosh, Ankita Dhar, et al.. (2020). Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays. Applied Intelligence. 51(5). 2777–2789. 138 indexed citations
14.
Dhar, Ankita, et al.. (2020). Text categorization: past and present. Artificial Intelligence Review. 54(4). 3007–3054. 66 indexed citations
15.
16.
Mukherjee, Himadri, Sk Md Obaidullah, Santanu Phadikar, & Kaushik Roy. (2018). A Dravidian Language Identification System. 2654–2657. 5 indexed citations
17.
Dhar, Ankita, et al.. (2018). Performance of Classifiers in Bangla Text Categorization. 168–173. 7 indexed citations
18.
Obaidullah, Sk Md, et al.. (2018). Extreme learning machine for handwritten Indic script identification in multiscript documents. Journal of Electronic Imaging. 27(5). 1–1. 9 indexed citations
19.
Mukherjee, Himadri, Ankita Dhar, Santanu Phadikar, & Kaushik Roy. (2017). RECAL — A language identification system. 2. 300–304. 9 indexed citations
20.
Mukherjee, Himadri, et al.. (2016). REARC-a Bangla Phoneme recognizer. 50. 177–180. 7 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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