Adway Mitra

599 total citations
31 papers, 397 citations indexed

About

Adway Mitra is a scholar working on Atmospheric Science, Global and Planetary Change and Computer Vision and Pattern Recognition. According to data from OpenAlex, Adway Mitra has authored 31 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Adway Mitra's work include Climate variability and models (9 papers), Meteorological Phenomena and Simulations (9 papers) and Image and Signal Denoising Methods (3 papers). Adway Mitra is often cited by papers focused on Climate variability and models (9 papers), Meteorological Phenomena and Simulations (9 papers) and Image and Signal Denoising Methods (3 papers). Adway Mitra collaborates with scholars based in India, Sweden and South Korea. Adway Mitra's co-authors include Soumyajit Sarkar, Abhijit Mukherjee, Animesh Bhattacharya, Madhumita Chakraborty, Debi Prosad Dogra, Partha Pratim Roy, Mohammad Shamsudduha, Kazi Matin Ahmed, Prosun Bhattacharya and Srimanti Duttagupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Adway Mitra

26 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adway Mitra India 10 116 90 85 81 74 31 397
Xiaojing Wang China 11 171 1.5× 13 0.1× 68 0.8× 50 0.6× 41 0.6× 34 525
Xinhui Li China 12 88 0.8× 19 0.2× 54 0.6× 77 1.0× 21 0.3× 42 535
Victor Bâcu Romania 9 76 0.7× 22 0.2× 25 0.3× 49 0.6× 134 1.8× 53 325
Seyed Arman Hashemi Monfared Iran 14 164 1.4× 34 0.4× 71 0.8× 171 2.1× 228 3.1× 51 598
O. David United States 12 147 1.3× 26 0.3× 92 1.1× 133 1.6× 221 3.0× 20 479
Anthony M. Castronova United States 13 149 1.3× 17 0.2× 57 0.7× 120 1.5× 308 4.2× 47 698
Yinjun Zhang China 8 51 0.4× 104 1.2× 10 0.1× 86 1.1× 244 3.3× 31 422

Countries citing papers authored by Adway Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Adway Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adway Mitra

This figure shows the co-authorship network connecting the top 25 collaborators of Adway Mitra. A scholar is included among the top collaborators of Adway Mitra 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 Adway Mitra. Adway Mitra 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.
Das, Santu, et al.. (2025). Improving Indian summer monsoon rainfall prediction using deep learning up to two years in advance. Quarterly Journal of the Royal Meteorological Society. 152(774).
2.
Mitra, Adway, et al.. (2025). Simulation of global sea surface temperature maps using Pix2Pix GAN. SHILAP Revista de lepidopterología. 4.
3.
Kumar, Bipin, et al.. (2024). Deep learning-based bias correction of ISMR simulated by GCM. Atmospheric Research. 309. 107589–107589. 10 indexed citations
4.
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6.
Mitra, Adway, et al.. (2023). Mapping Maharashtra’s Slums Using Google Earth Engine. 1–4.
7.
Mitra, Adway, et al.. (2023). Mapping Slums from Satellite Imagery Using Deep Learning. 6584–6587. 1 indexed citations
8.
Goswami, B. N., et al.. (2022). Predictability of South-Asian monsoon rainfall beyond the legacy of Tropical Ocean Global Atmosphere program (TOGA). npj Climate and Atmospheric Science. 5(1). 19 indexed citations
9.
Kuttippurath, J., et al.. (2022). Causal discovery of drivers of surface ozone variability in Antarctica using a deep learning algorithm. Environmental Science Processes & Impacts. 24(3). 447–459. 3 indexed citations
10.
Dogra, Debi Prosad, et al.. (2021). Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture. IEEE Transactions on Intelligent Transportation Systems. 23(8). 11891–11902. 54 indexed citations
11.
Mitra, Adway, et al.. (2021). City-Scale Simulation of Covid-19 Pandemic & Intervention Policies Using Agent-Based Modelling. 99. 1–12. 1 indexed citations
12.
Mitra, Adway, et al.. (2021). Regionalization of hydroclimatic variables using Markov random field model for climate change impact assessment. Journal of Hydrology. 596. 126071–126071. 3 indexed citations
13.
Chakraborty, Madhumita, Soumyajit Sarkar, Abhijit Mukherjee, et al.. (2020). Modeling regional-scale groundwater arsenic hazard in the transboundary Ganges River Delta, India and Bangladesh: Infusing physically-based model with machine learning. The Science of The Total Environment. 748. 141107–141107. 81 indexed citations
14.
Mukherjee, Abhijit, Soumyajit Sarkar, Madhumita Chakraborty, et al.. (2020). Occurrence, predictors and hazards of elevated groundwater arsenic across India through field observations and regional-scale AI-based modeling. The Science of The Total Environment. 759. 143511–143511. 92 indexed citations
15.
Mitra, Adway, Soma Biswas, & Chiranjib Bhattacharyya. (2016). Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(3). 430–443. 14 indexed citations
16.
Mitra, Adway, Chiranjib Bhattacharyya, & Soma Biswas. (2015). EntScene: nonparametric Bayesian temporal segmentation of videos aimed at entity-driven scene detection. International Conference on Artificial Intelligence. 3721–3727. 1 indexed citations
17.
Mitra, Adway, Soma Biswas, & Chiranjib Bhattacharyya. (2015). Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos. 801–809. 1 indexed citations
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20.
Roy, A.B., Adway Mitra, Arijit Khan, Mita Nasipuri, & Debashis Saha. (2008). LSDC a lossless approach to lifetime maximization in wireless sensor networks. 166–171. 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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