Sarbani Roy

2.7k citations
164 papers · 1.7k · 1 hit paper · h-index 22

Impact in

Papers in

Sarbani Roy

152 papers receiving 1.6k citations

Sarbani Roy's Hit Papers

Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities 2022 · 138 citations
1380+1+2Years since publication4080120

Peers

Sarbani Roy
Comparison fields: 5 of 130
  • Computer Networks and Communications 618
  • Computer Science Applications 112
  • Environmental Engineering 259
  • Information Systems 300
  • Transportation 77
Replace Eemil Lagerspetz with:
Eemil Lagerspetz Finland
Till Riedel Germany
Petteri Nurmi Finland
Ruiyun Yu China
Chao‐Tung Yang Taiwan
Bing Guo China
Yu Chen China
Sergio Trilles Spain
Rajib Rana Australia
Mohammad Shahadat Hossain Bangladesh
Sarbani Roy relative to Eemil Lagerspetz Finland Eemil Lagerspetz's profile →
Citations per field
00.5×1.7×
Eemil Lagerspetz · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sarbani Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sarbani Roy Line = papers co-authored together Sarbani Roy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities
Hit paper breakdown →
2022138
2 202173
3 201663
4 201756
5 201756
6 202143
7 202240
8 202039
9 202136
10 202235
11 201135
12 201833
13 202130
14 201730
15 201829
16 201327
17 201927
18 201825
19 201923
20 202223

About Sarbani Roy

Sarbani Roy is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 164 papers that have together received 1.7k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (42 papers), Cloud Computing and Resource Management (25 papers), Air Quality Monitoring and Forecasting (21 papers), Mobile Ad Hoc Networks (18 papers), IoT and Edge/Fog Computing (17 papers), Distributed and Parallel Computing Systems (15 papers), Air Quality and Health Impacts (13 papers) and Complex Network Analysis Techniques (12 papers). The work is most often cited by research in Computer Networks and Communications (618 citations), Computer Science Applications (112 citations), Environmental Engineering (259 citations), Information Systems (300 citations) and Transportation (77 citations). Sarbani Roy has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Asif Iqbal Middya, Joy Dutta, Nandini Mukherjee, Chandreyee Chowdhury, Zeenat Rehena, Sunirmal Khatua, Paramita Dey, Rituparna Das, Tanmoy Maitra and Suman Sankar Bhunia. Their work appears in journals such as Multimedia Tools and Applications, Neural Computing and Applications, Knowledge-Based Systems, Mobile Networks and Applications and Wireless Personal Communications.

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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