Sarbani Roy

2.7k total citations · 1 hit paper
164 papers, 1.7k citations indexed

About

Sarbani Roy is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Sarbani Roy has authored 164 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Networks and Communications, 33 papers in Electrical and Electronic Engineering and 32 papers in Information Systems. Recurrent topics in Sarbani Roy's work include Energy Efficient Wireless Sensor Networks (42 papers), Cloud Computing and Resource Management (25 papers) and Air Quality Monitoring and Forecasting (21 papers). Sarbani Roy is often cited by papers focused on Energy Efficient Wireless Sensor Networks (42 papers), Cloud Computing and Resource Management (25 papers) and Air Quality Monitoring and Forecasting (21 papers). Sarbani Roy collaborates with scholars based in India, United States and Australia. Sarbani Roy's co-authors include Asif Iqbal Middya, Joy Dutta, Nandini Mukherjee, Chandreyee Chowdhury, Zeenat Rehena, Paramita Dey, Sunirmal Khatua, Rituparna Das, Tanmoy Maitra and Suman Sankar Bhunia and has published in prestigious journals such as Scientific Reports, Environmental Pollution and Technological Forecasting and Social Change.

In The Last Decade

Sarbani Roy

152 papers receiving 1.6k citations

Hit Papers

Deep learning based multimodal emotion recognition using ... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities
    2022 138 citations Asif Iqbal Middya, Sarbani Roy et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarbani Roy India 22 618 315 310 300 259 164 1.7k
Eemil Lagerspetz Finland 21 656 1.1× 356 1.1× 214 0.7× 186 0.6× 295 1.1× 58 1.5k
Petteri Nurmi Finland 27 699 1.1× 684 2.2× 283 0.9× 274 0.9× 420 1.6× 155 2.7k
Bing Guo China 21 410 0.7× 229 0.7× 312 1.0× 305 1.0× 96 0.4× 146 1.5k
Chao‐Tung Yang Taiwan 26 1.5k 2.4× 361 1.1× 362 1.2× 908 3.0× 248 1.0× 318 2.8k
Till Riedel Germany 19 285 0.5× 203 0.6× 111 0.4× 97 0.3× 162 0.6× 101 919
Ruiyun Yu China 17 208 0.3× 212 0.7× 292 0.9× 135 0.5× 126 0.5× 68 1.0k
Mohammad Shahadat Hossain Bangladesh 26 258 0.4× 164 0.5× 661 2.1× 192 0.6× 152 0.6× 125 2.0k
Rajib Rana Australia 22 307 0.5× 402 1.3× 647 2.1× 91 0.3× 111 0.4× 51 2.0k
Yu Chen China 23 862 1.4× 214 0.7× 260 0.8× 566 1.9× 62 0.2× 159 1.9k
Liang Liu China 27 919 1.5× 645 2.0× 570 1.8× 377 1.3× 97 0.4× 197 3.0k

Countries citing papers authored by Sarbani Roy

Since Specialization
Citations

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

Fields of papers citing papers by Sarbani Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarbani Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Sarbani Roy. A scholar is included among the top collaborators of Sarbani Roy 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 Sarbani Roy. Sarbani Roy 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
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Roy, Sarbani, et al.. (2025). Chromosome scale assembly unveils genomic structure and gene families of Calotropis procera. Molecular Genetics and Genomics. 300(1). 64–64. 1 indexed citations
3.
Middya, Asif Iqbal, et al.. (2024). Spatial and seasonal association study between $$PM_{2.5}$$ and related contributing factors in India. Environmental Monitoring and Assessment. 196(12). 1153–1153.
4.
Middya, Asif Iqbal, et al.. (2024). Melody generation based on deep ensemble learning using varying temporal context length. Multimedia Tools and Applications. 83(27). 69647–69668. 2 indexed citations
5.
Middya, Asif Iqbal & Sarbani Roy. (2024). Multiview data fusion technique for missing value imputation in multisensory air pollution dataset. Journal of Ambient Intelligence and Humanized Computing. 15(8). 3173–3191. 1 indexed citations
6.
Middya, Asif Iqbal, et al.. (2023). Participatory Sensing Based Urban Road Condition Classification using Transfer Learning. Mobile Networks and Applications. 29(1). 42–58. 8 indexed citations
7.
Middya, Asif Iqbal, et al.. (2023). Activity recognition based on smartphone sensor data using shallow and deep learning techniques: A Comparative Study. Multimedia Tools and Applications. 83(3). 9033–9066. 2 indexed citations
8.
Middya, Asif Iqbal, et al.. (2023). Forecasting chaotic weather variables with echo state networks and a novel swing training approach. Knowledge-Based Systems. 269. 110506–110506. 8 indexed citations
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Roy, Sarbani, et al.. (2022). Mood detection and prediction using conventional machine learning techniques on COVID19 data. Social Network Analysis and Mining. 12(1). 139–139. 4 indexed citations
11.
Middya, Asif Iqbal & Sarbani Roy. (2022). Spatio-temporal variation of Covid-19 health outcomes in India using deep learning based models. Technological Forecasting and Social Change. 183. 121911–121911. 6 indexed citations
12.
Middya, Asif Iqbal & Sarbani Roy. (2022). Pollutant specific optimal deep learning and statistical model building for air quality forecasting. Environmental Pollution. 301. 118972–118972. 35 indexed citations
13.
Roy, Sarbani, et al.. (2021). Social Injustice in the Neoliberal Pandemic Era for Homeless Persons With Mental Illness: A Qualitative Inquiry From India. Frontiers in Psychiatry. 12. 635715–635715. 6 indexed citations
14.
Dutta, Joy & Sarbani Roy. (2017). IoT-fog-cloud based architecture for smart city: Prototype of a smart building. 237–242. 56 indexed citations
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16.
Rehena, Zeenat, et al.. (2015). Multiple Sink Placement in Partitioned Wireless Sensor Networks. INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING. 6(2). 3 indexed citations
17.
Roy, Sarbani, et al.. (2015). Survey on Data Collection protocols in Wireless Sensor Networks using mobile data collectors. International Conference on Computing for Sustainable Global Development. 632–636. 4 indexed citations
18.
Landewé, R., et al.. (2011). JOINT SPACE NARROWING HAS A STRONGER IMPACT ON PHYSICAL FUNCTION THAN JOINT EROSION: RESULTS FROM EIGHT YEAR LONGITUDINAL ANALYSES. Lara D. Veeken. 50. 119–119. 5 indexed citations
19.
20.
Roy, Sarbani & Nandini Mukherjee. (2006). Utilizing Jini Features to Implement a Multiagent Framework for Performance-based Resource Allocation in Grid Environment.. 52–60. 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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