Hakikur Rahman

159 total papers · 467 total citations
29 papers, 172 citations indexed

About

Hakikur Rahman is a scholar working on Management Information Systems, Political Science and International Relations and Strategy and Management. According to data from OpenAlex, Hakikur Rahman has authored 29 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Information Systems, 6 papers in Political Science and International Relations and 6 papers in Strategy and Management. Recurrent topics in Hakikur Rahman's work include E-Government and Public Services (6 papers), Big Data and Business Intelligence (5 papers) and Innovation and Knowledge Management (5 papers). Hakikur Rahman is often cited by papers focused on E-Government and Public Services (6 papers), Big Data and Business Intelligence (5 papers) and Innovation and Knowledge Management (5 papers). Hakikur Rahman collaborates with scholars based in United States, Portugal and Bangladesh. Hakikur Rahman's co-authors include Isabel Ramos, Dodi Devianto, Md. Shakhaoath Khan, Min Li, Md. Sharif Uddin, Sharmin Sultana, Md Ekrim Hossin, Partha Chakraborty and Foysal Mahmud and has published in prestigious journals such as Journal of the Association for Information Systems, IGI Global eBooks and RePEc: Research Papers in Economics.

In The Last Decade

Hakikur Rahman

19 papers receiving 143 citations

Author Peers

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

Author Last Decade Papers Cites
Hakikur Rahman 67 41 32 26 25 29 172
Constant Okello‐Obura 26 0.4× 22 0.5× 19 0.6× 16 0.6× 35 1.4× 31 280
Daniel Rudmark 51 0.8× 76 1.9× 31 1.0× 39 1.5× 9 0.4× 19 199
Gustaf Juell-Skielse 40 0.6× 50 1.2× 30 0.9× 25 1.0× 4 0.2× 33 153
Meir Russ 110 1.6× 9 0.2× 20 0.6× 14 0.5× 30 1.2× 26 221
Andreea M. Serban 50 0.7× 61 1.5× 8 0.3× 17 0.7× 19 0.8× 22 271
Monika Mačiulienė 30 0.4× 17 0.4× 47 1.5× 11 0.4× 7 0.3× 29 186
Laura Hosman 38 0.6× 47 1.1× 25 0.8× 8 0.3× 29 1.2× 28 264
Markus Nordberg 91 1.4× 24 0.6× 47 1.5× 6 0.2× 50 2.0× 18 171
Jana Štofková 64 1.0× 16 0.4× 21 0.7× 6 0.2× 44 1.8× 30 209
Ernesto De Nito 110 1.6× 11 0.3× 45 1.4× 13 0.5× 14 0.6× 33 229

Countries citing papers authored by Hakikur Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Hakikur Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakikur Rahman

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