Indranath Chatterjee

568 total citations
43 papers, 262 citations indexed

About

Indranath Chatterjee is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Indranath Chatterjee has authored 43 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Indranath Chatterjee's work include Functional Brain Connectivity Studies (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Maritime Ports and Logistics (5 papers). Indranath Chatterjee is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Maritime Ports and Logistics (5 papers). Indranath Chatterjee collaborates with scholars based in South Korea, India and United Kingdom. Indranath Chatterjee's co-authors include Gyu-Sung Cho, Bharti Rana, Manoj Agarwal, Naveen Kumar, Mayuri A. Mehta, Hoon Lee, Vasile Palade, Virendra Kumar, Neha Gupta and Diptendu Bhattacharya and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Progress in brain research and Applied Sciences.

In The Last Decade

Indranath Chatterjee

41 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indranath Chatterjee South Korea 10 49 41 30 29 29 43 262
Olga Štěpánková Czechia 14 45 0.9× 113 2.8× 21 0.7× 24 0.8× 43 1.5× 50 457
Epaminondas Kapetanios United Kingdom 10 19 0.4× 74 1.8× 32 1.1× 18 0.6× 7 0.2× 38 276
Satya Ranjan Dash India 10 62 1.3× 116 2.8× 40 1.3× 14 0.5× 8 0.3× 57 361
Zimu Zheng China 8 36 0.7× 65 1.6× 36 1.2× 21 0.7× 14 0.5× 23 300
Fathe Jeribi Saudi Arabia 10 24 0.5× 83 2.0× 29 1.0× 30 1.0× 4 0.1× 35 327
Yan Xiang China 11 15 0.3× 129 3.1× 16 0.5× 18 0.6× 9 0.3× 74 379
Abdullah Alshehri Saudi Arabia 12 14 0.3× 98 2.4× 62 2.1× 21 0.7× 8 0.3× 42 460
Svetlana Simić Serbia 9 13 0.3× 41 1.0× 11 0.4× 6 0.2× 29 1.0× 43 312
Wenyan Liu China 15 70 1.4× 94 2.3× 105 3.5× 60 2.1× 7 0.2× 58 704

Countries citing papers authored by Indranath Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Indranath Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indranath Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Indranath Chatterjee. A scholar is included among the top collaborators of Indranath Chatterjee 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 Indranath Chatterjee. Indranath Chatterjee 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, Indranath, et al.. (2024). Unveiling Functional Biomarkers in Schizophrenia: Insights from Region of Interest Analysis Using Machine Learning. Journal of Integrative Neuroscience. 23(9). 179–179. 1 indexed citations
2.
Chatterjee, Indranath, et al.. (2024). Real-Time-Based Blood Wastage Management Using IoT and Blockchain Technology. SN Computer Science. 5(3). 2 indexed citations
3.
Chatterjee, Indranath, et al.. (2024). From bean to brain: Coffee, gray matter, and neuroprotection in neurological disorders spectrum. Progress in brain research. 289. 169–180. 1 indexed citations
4.
Chatterjee, Indranath, et al.. (2024). Investigating the association between symptoms and functional activity in brain regions in schizophrenia: A cross-sectional fmri-based neuroimaging study. Psychiatry Research Neuroimaging. 344. 111870–111870. 3 indexed citations
5.
Chatterjee, Indranath. (2023). Cognizance of Schizophrenia:: A Profound Insight into the Psyche. 6 indexed citations
6.
Chatterjee, Indranath, et al.. (2023). Detection of brain regions responsible for chronic pain in osteoarthritis: an fMRI-based neuroimaging study using deep learning. Frontiers in Neurology. 14. 1195923–1195923. 10 indexed citations
7.
Bhattacharya, Diptendu, et al.. (2023). An Intuitionistic Fuzzy Consensus WASPAS Method for Assessment of Open-Source Software Learning Management Systems. Informatica. 529–556. 9 indexed citations
8.
Lee, Hoon, Indranath Chatterjee, & Gyu-Sung Cho. (2023). A Systematic Review of Computer Vision and AI in Parking Space Allocation in a Seaport. Applied Sciences. 13(18). 10254–10254. 11 indexed citations
9.
Chatterjee, Indranath, et al.. (2023). A two-staged NLP-based framework for assessing the sentiments on Indian supreme court judgments. International Journal of Information Technology. 15(4). 2273–2282. 8 indexed citations
10.
Chatterjee, Indranath, et al.. (2023). Enhanced Deep Learning-Based Model for Sentiment Analysis to Identify Sarcasm Appeared in the News. Computing and Informatics. 42(5). 1091–1113. 1 indexed citations
11.
Chatterjee, Indranath, et al.. (2023). Ensemble learning-based early detection of influenza disease. Multimedia Tools and Applications. 83(2). 5723–5743. 3 indexed citations
12.
Singh, Rajiv R. P., et al.. (2023). Neuroadaptive Incentivization in Healthcare using Blockchain and IoT. SN Computer Science. 5(1). 4 indexed citations
13.
Lee, Hoon, Indranath Chatterjee, & Gyu-Sung Cho. (2023). Enhancing Parking Facility of Container Drayage in Seaports: A Study on Integrating Computer Vision and AI. 384–387. 2 indexed citations
15.
Chatterjee, Indranath, et al.. (2023). IoT-enabled solutions for Alzheimer's disease management: innovations and opportunities. 6(4). 3 indexed citations
17.
Chatterjee, Indranath, et al.. (2022). COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers. Applied Computational Intelligence and Soft Computing. 2022. 1–8. 5 indexed citations
18.
Chatterjee, Indranath, et al.. (2022). Probing the Neuro-psychological Changes Observed with the Administrationof COVID-19 Drugs. Current Topics in Medicinal Chemistry. 23(2). 143–154. 1 indexed citations
19.
Chatterjee, Indranath, et al.. (2022). Association of Vitamins and Neurotransmitters: Understanding the Effect on Schizophrenia. Neurochemical Journal. 16(1). 39–45. 5 indexed citations
20.
Chatterjee, Indranath, et al.. (2021). Role of neurotransmitters in schizophrenia: a comprehensive study. Kuwait Journal of Science. 48(2). 17 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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