Subhankar Joardar

60 total papers · 433 total citations
28 papers, 149 citations indexed

About

Subhankar Joardar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Subhankar Joardar has authored 28 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 6 papers in Cognitive Neuroscience. Recurrent topics in Subhankar Joardar's work include EEG and Brain-Computer Interfaces (5 papers), ECG Monitoring and Analysis (5 papers) and Mobile Ad Hoc Networks (5 papers). Subhankar Joardar is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), ECG Monitoring and Analysis (5 papers) and Mobile Ad Hoc Networks (5 papers). Subhankar Joardar collaborates with scholars based in India, Saudi Arabia and Iraq. Subhankar Joardar's co-authors include Namrata Dhanda, Biswapati Jana, Arif Ahmed Sekh, Partha Pratim Bhattacharya, Sujit Kumar De, Prasun Kumar Nayak, Mahendra Kumar Gourisaria, Vijander Singh, Sabyasachi Pramanik and Harshvardhan GM and has published in prestigious journals such as ACM Computing Surveys, Computers & Operations Research and Multimedia Tools and Applications.

In The Last Decade

Subhankar Joardar

23 papers receiving 144 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Subhankar Joardar 49 48 46 24 13 28 149
Namrata Dhanda 50 1.0× 27 0.6× 43 0.9× 28 1.2× 40 3.1× 48 179
Md Shofiqul Islam 72 1.5× 27 0.6× 50 1.1× 29 1.2× 61 4.7× 25 260
Prashnna Gyawali 79 1.6× 111 2.3× 32 0.7× 20 0.8× 63 4.8× 25 258
B. Anuradha 22 0.4× 21 0.4× 14 0.3× 24 1.0× 20 1.5× 31 250
Jeng-Wei Lin 35 0.7× 65 1.4× 97 2.1× 11 0.5× 49 3.8× 26 250
Komminist Weldemariam 34 0.7× 15 0.3× 17 0.4× 13 0.5× 42 3.2× 28 174
Osama R. Shahin 16 0.3× 35 0.7× 15 0.3× 19 0.8× 84 6.5× 30 261
Mikael Wallman 110 2.2× 23 0.5× 19 0.4× 21 0.9× 46 3.5× 25 274
Piyush Kumar 12 0.2× 56 1.2× 8 0.2× 18 0.8× 28 2.2× 31 253
Azmi Shawkat Abdulbaqi 18 0.4× 23 0.5× 25 0.5× 21 0.9× 19 1.5× 35 156

Countries citing papers authored by Subhankar Joardar

Since Specialization
Citations

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

Fields of papers citing papers by Subhankar Joardar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhankar Joardar

This figure shows the co-authorship network connecting the top 25 collaborators of Subhankar Joardar. A scholar is included among the top collaborators of Subhankar Joardar 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 Subhankar Joardar. Subhankar Joardar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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