Md Saef Ullah Miah

86 total papers · 829 total citations
51 papers, 412 citations indexed

About

Md Saef Ullah Miah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Md Saef Ullah Miah has authored 51 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Md Saef Ullah Miah's work include Advanced Text Analysis Techniques (9 papers), IoT and Edge/Fog Computing (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). Md Saef Ullah Miah is often cited by papers focused on Advanced Text Analysis Techniques (9 papers), IoT and Edge/Fog Computing (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). Md Saef Ullah Miah collaborates with scholars based in Bangladesh, Malaysia and South Korea. Md Saef Ullah Miah's co-authors include Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, Al Imran, Saydul Akbar Murad, Anupam Kumar Bairagi, Achintya K. Bhowmik, Mehedi Masud, Sultan Aljahdali and Israt Jahan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Md Saef Ullah Miah

44 papers receiving 398 citations

Author Peers

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

Author						Papers	Cites
Md Saef Ullah Miah	133	85	75	54	42	51	412
Ji-Won Baek	110 0.8×	81 1.0×	85 1.1×	61 1.1×	28 0.7×	41	407
M. Srinivas	151 1.1×	43 0.5×	45 0.6×	44 0.8×	30 0.7×	47	431
Vishan Kumar Gupta	109 0.8×	30 0.4×	61 0.8×	41 0.8×	37 0.9×	64	455
Ala Saleh Alluhaidan	117 0.9×	84 1.0×	76 1.0×	38 0.7×	90 2.1×	66	487
Md Rafiqul Islam	163 1.2×	45 0.5×	112 1.5×	13 0.2×	30 0.7×	29	458
M. D. Anto Praveena	143 1.1×	76 0.9×	85 1.1×	30 0.6×	104 2.5×	46	401
Vishal Dutt	119 0.9×	66 0.8×	47 0.6×	58 1.1×	40 1.0×	37	380
Syed Hasan Adil	70 0.5×	74 0.9×	63 0.8×	10 0.2×	65 1.5×	53	438
Hamid Mukhtar	105 0.8×	36 0.4×	60 0.8×	63 1.2×	156 3.7×	53	488
Ioannis Rallis	115 0.9×	154 1.8×	63 0.8×	17 0.3×	27 0.6×	43	481

Countries citing papers authored by Md Saef Ullah Miah

Since Specialization

Citations

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

Fields of papers citing papers by Md Saef Ullah Miah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Saef Ullah Miah

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