Md. Anwarul Islam

124 total papers · 1.4k total citations
91 papers, 925 citations indexed

About

Md. Anwarul Islam is a scholar working on Information Systems, Communication and Sociology and Political Science. According to data from OpenAlex, Md. Anwarul Islam has authored 91 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 19 papers in Communication and 12 papers in Sociology and Political Science. Recurrent topics in Md. Anwarul Islam's work include Knowledge Management and Sharing (17 papers), Library Science and Administration (8 papers) and Organizational and Employee Performance (7 papers). Md. Anwarul Islam is often cited by papers focused on Knowledge Management and Sharing (17 papers), Library Science and Administration (8 papers) and Organizational and Employee Performance (7 papers). Md. Anwarul Islam collaborates with scholars based in Bangladesh, United States and Japan. Md. Anwarul Islam's co-authors include Naresh Kumar Agarwal, Mitsuru Ikeda, Keita Tsuji, Adam Barlow, Gawsia Wahidunnessa Chowdhury, W.I. Stephen, Simon Tollington, Gunilla Widén, Jim J. Groombridge and Abdul Aziz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environment International and Frontiers in Immunology.

In The Last Decade

Md. Anwarul Islam

79 papers receiving 844 citations

Author Peers

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

Author Last Decade Papers Cites
Md. Anwarul Islam 213 198 158 148 106 91 925
Elisabeth Davenport 162 0.8× 256 1.3× 32 0.2× 113 0.8× 54 0.5× 89 895
Abel L. Packer 163 0.8× 32 0.2× 18 0.1× 162 1.1× 9 0.1× 48 919
Susan J. Winter 103 0.5× 139 0.7× 27 0.2× 287 1.9× 3 0.0× 45 1.1k
Jeffrey Lawrence D’Silva 140 0.7× 19 0.1× 74 0.5× 89 0.6× 22 0.2× 114 1.0k
Jane Anderson 184 0.9× 14 0.1× 128 0.8× 97 0.7× 12 0.1× 47 987
Mumtaz Anwar 255 1.2× 103 0.5× 12 0.1× 74 0.5× 276 2.6× 87 971
Scott Weingart 139 0.7× 54 0.3× 67 0.4× 99 0.7× 2 0.0× 26 812
Gali Halevi 176 0.8× 35 0.2× 12 0.1× 137 0.9× 10 0.1× 33 1.0k
Margaret Robertson 49 0.2× 202 1.0× 21 0.1× 19 0.1× 9 0.1× 61 1.1k
Olof Sundin 365 1.7× 315 1.6× 36 0.2× 66 0.4× 365 3.4× 75 1.2k

Countries citing papers authored by Md. Anwarul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Md. Anwarul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Anwarul Islam. 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 Md. Anwarul Islam. The network helps show where Md. Anwarul Islam may publish in the future.

Co-authorship network of co-authors of Md. Anwarul Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Anwarul Islam. A scholar is included among the top collaborators of Md. Anwarul Islam 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 Md. Anwarul Islam. Md. Anwarul Islam 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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