Sajjadur Rahman

47 total papers · 485 total citations
22 papers, 235 citations indexed

About

Sajjadur Rahman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sajjadur Rahman has authored 22 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Sajjadur Rahman's work include Data Visualization and Analytics (8 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (5 papers). Sajjadur Rahman is often cited by papers focused on Data Visualization and Analytics (8 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (5 papers). Sajjadur Rahman collaborates with scholars based in United States, Bangladesh and Canada. Sajjadur Rahman's co-authors include Aditya Parameswaran, Samuel Madden, Manasi Vartak, Neoklis Polyzotis, Karrie Karahalios, Ha‐Kyung Kong, Eric Blais, Hannah Kim, Xinru Wang and Eser Kandogan and has published in prestigious journals such as Proceedings of the VLDB Endowment, Proceedings of the ACM on Human-Computer Interaction and CHI Conference on Human Factors in Computing Systems.

In The Last Decade

Sajjadur Rahman

17 papers receiving 225 citations

Author Peers

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

Author Last Decade Papers Cites
Sajjadur Rahman 141 105 92 46 36 22 235
Mark Derthick 164 1.2× 69 0.7× 95 1.0× 47 1.0× 42 1.2× 23 270
Yongjoo Park 78 0.6× 103 1.0× 128 1.4× 92 2.0× 57 1.6× 19 241
Wolfgang Kienreich 224 1.6× 66 0.6× 119 1.3× 15 0.3× 73 2.0× 28 321
Tim Lammarsch 237 1.7× 73 0.7× 95 1.0× 10 0.2× 16 0.4× 17 279
Daniel Tunkelang 82 0.6× 37 0.4× 131 1.4× 37 0.8× 123 3.4× 16 294
Çağatay Demiralp 97 0.7× 26 0.2× 113 1.2× 22 0.5× 30 0.8× 16 240
Holger Stitz 146 1.0× 25 0.2× 72 0.8× 16 0.3× 42 1.2× 21 225
Daniel Seebacher 194 1.4× 53 0.5× 80 0.9× 9 0.2× 22 0.6× 19 311
Marshall Ramsey 74 0.5× 63 0.6× 123 1.3× 62 1.3× 163 4.5× 16 297
Stephan Bloehdorn 83 0.6× 44 0.4× 204 2.2× 24 0.5× 80 2.2× 15 281

Countries citing papers authored by Sajjadur Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Sajjadur Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajjadur Rahman

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