Sujan Sarker

35 total papers · 678 total citations
25 papers, 415 citations indexed

About

Sujan Sarker is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Sujan Sarker has authored 25 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Sujan Sarker's work include IoT and Edge/Fog Computing (8 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and COVID-19 diagnosis using AI (3 papers). Sujan Sarker is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and COVID-19 diagnosis using AI (3 papers). Sujan Sarker collaborates with scholars based in Bangladesh, Saudi Arabia and Italy. Sujan Sarker's co-authors include Lafifa Jamal, Mohammad Mehedi Hassan, Giancarlo Fortino, Md. Abdur Razzaque, Md. Abdur Razzaque, Sejuti Rahman, Md. Mamun-Or-Rashid, Gianluca Aloi, MengChu Zhou and Ahmad Almogren and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Computer Networks.

In The Last Decade

Sujan Sarker

24 papers receiving 407 citations

Author Peers

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

Author						Papers	Cites
Sujan Sarker	139	89	72	70	67	25	415
Muhammad Azeem Akbar	77 0.6×	98 1.1×	50 0.7×	29 0.4×	149 2.2×	53	447
Ninni Singh	61 0.4×	113 1.3×	53 0.7×	66 0.9×	53 0.8×	28	417
Muhammad Sheraz Arshad Malik	76 0.5×	130 1.5×	57 0.8×	53 0.8×	54 0.8×	30	422
Zahraa K. Taha	136 1.0×	69 0.8×	54 0.8×	80 1.1×	52 0.8×	17	417
Omdev Dahiya	88 0.6×	118 1.3×	21 0.3×	32 0.5×	115 1.7×	36	419
Vipul Narayan	131 0.9×	102 1.1×	73 1.0×	84 1.2×	30 0.4×	22	438
Yuris Mulya Saputra	141 1.0×	140 1.6×	32 0.4×	130 1.9×	83 1.2×	23	417
Yuzhen Ding	130 0.9×	109 1.2×	63 0.9×	90 1.3×	97 1.4×	21	375
Md Tahmid Rashid	100 0.7×	87 1.0×	22 0.3×	56 0.8×	44 0.7×	32	381
Abdulellah A. Alaboudi	90 0.6×	68 0.8×	27 0.4×	24 0.3×	90 1.3×	17	389

Countries citing papers authored by Sujan Sarker

Since Specialization

Citations

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

Fields of papers citing papers by Sujan Sarker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujan Sarker

This figure shows the co-authorship network connecting the top 25 collaborators of Sujan Sarker. A scholar is included among the top collaborators of Sujan Sarker 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 Sujan Sarker. Sujan Sarker 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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