Kamal Uddin Sarker

32 total papers · 542 total citations
24 papers, 368 citations indexed

About

Kamal Uddin Sarker is a scholar working on Information Systems, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Kamal Uddin Sarker has authored 24 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Computer Networks and Communications and 7 papers in Management Information Systems. Recurrent topics in Kamal Uddin Sarker's work include Big Data and Business Intelligence (6 papers), Software Engineering Techniques and Practices (6 papers) and Online Learning and Analytics (6 papers). Kamal Uddin Sarker is often cited by papers focused on Big Data and Business Intelligence (6 papers), Software Engineering Techniques and Practices (6 papers) and Online Learning and Analytics (6 papers). Kamal Uddin Sarker collaborates with scholars based in Malaysia, Oman and Bangladesh. Kamal Uddin Sarker's co-authors include Raza Hasan, Salman Mahmood, Sellappan Palaniappan, Ali Hashim Abbas, Mian Usman Sattar, Aziz Deraman, Ali K Abass, Babar Shah, Abrar Ullah and Sellappan Palaniappan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Applied Sciences.

In The Last Decade

Kamal Uddin Sarker

21 papers receiving 344 citations

Author Peers

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

Author Last Decade Papers Cites
Kamal Uddin Sarker 218 122 106 78 76 24 368
Vinayak Hegde 186 0.9× 120 1.0× 146 1.4× 36 0.5× 59 0.8× 41 420
Vassilis Nikolopoulos 286 1.3× 104 0.9× 151 1.4× 83 1.1× 51 0.7× 12 424
Najmi Ghani Haider 337 1.5× 95 0.8× 153 1.4× 63 0.8× 95 1.3× 13 441
Monica Ciolacu 187 0.9× 165 1.4× 82 0.8× 117 1.5× 42 0.6× 18 424
Parneet Kaur 159 0.7× 90 0.7× 165 1.6× 33 0.4× 59 0.8× 25 351
Rosa Alarcón 104 0.5× 195 1.6× 92 0.9× 64 0.8× 79 1.0× 25 369
Milton Román Cañizares 103 0.5× 86 0.7× 74 0.7× 43 0.6× 41 0.5× 25 381
Mirza Suljić 291 1.3× 119 1.0× 170 1.6× 41 0.5× 59 0.8× 11 373
Fadl Mutaher Ba-Alwi 111 0.5× 87 0.7× 210 2.0× 20 0.3× 162 2.1× 19 365
Mohammed Najah Mahdi 67 0.3× 91 0.7× 81 0.8× 21 0.3× 58 0.8× 37 350

Countries citing papers authored by Kamal Uddin Sarker

Since Specialization
Citations

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

Fields of papers citing papers by Kamal Uddin Sarker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamal Uddin Sarker

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