Md. Shamsuddoha

11 total papers · 448 total citations
8 papers, 308 citations indexed

About

Md. Shamsuddoha is a scholar working on Global and Planetary Change, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Md. Shamsuddoha has authored 8 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Global and Planetary Change, 3 papers in Political Science and International Relations and 2 papers in Sociology and Political Science. Recurrent topics in Md. Shamsuddoha's work include Bangladesh Politics, Society, and Development (3 papers), Climate Change, Adaptation, Migration (2 papers) and Coral and Marine Ecosystems Studies (1 paper). Md. Shamsuddoha is often cited by papers focused on Bangladesh Politics, Society, and Development (3 papers), Climate Change, Adaptation, Migration (2 papers) and Coral and Marine Ecosystems Studies (1 paper). Md. Shamsuddoha collaborates with scholars based in Bangladesh, United States and India. Md. Shamsuddoha's co-authors include Mohammad Mahmudul Islam, Alexander M. Kerr, Aarthi Sridhar, Andrew H. Baird, Nico Koedam, Joshua E. Cinner, Farid Dahdouh‐Guebas, L.P. Jayatissa, Rusty A. Feagin and Kartik Shanker and has published in prestigious journals such as Environmental Science & Policy, Conservation Letters and IDS Bulletin.

In The Last Decade

Md. Shamsuddoha

8 papers receiving 285 citations

Author Peers

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

Author						Papers	Cites
Md. Shamsuddoha	152	96	69	66	62	8	308
Mita Drius	119 0.8×	115 1.2×	70 1.0×	78 1.2×	63 1.0×	12	342
Rosanne Martyr-Koller	77 0.5×	101 1.1×	83 1.2×	42 0.6×	68 1.1×	8	321
M. Rafiqul Islam	175 1.2×	136 1.4×	41 0.6×	35 0.5×	36 0.6×	14	329
Pamela Rubinoff	137 0.9×	80 0.8×	55 0.8×	96 1.5×	101 1.6×	8	262
Francis Areki	119 0.8×	66 0.7×	111 1.6×	32 0.5×	48 0.8×	7	269
Emmanuel Mensah	134 0.9×	70 0.7×	58 0.8×	84 1.3×	103 1.7×	12	287
Aditya Ghosh	112 0.7×	159 1.7×	97 1.4×	22 0.3×	33 0.5×	12	319
Dipika Kar	186 1.2×	107 1.1×	33 0.5×	49 0.7×	117 1.9×	14	366
Christine Schleupner	114 0.8×	97 1.0×	22 0.3×	56 0.8×	44 0.7×	11	246
Leah Glass	258 1.7×	123 1.3×	19 0.3×	48 0.7×	46 0.7×	13	344

Countries citing papers authored by Md. Shamsuddoha

Since Specialization

Citations

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

Fields of papers citing papers by Md. Shamsuddoha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Shamsuddoha

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