Kamran Sedig

137 total papers · 1.8k total citations
84 papers, 990 citations indexed

About

Kamran Sedig is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Kamran Sedig has authored 84 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 18 papers in Developmental and Educational Psychology. Recurrent topics in Kamran Sedig's work include Data Visualization and Analytics (31 papers), Educational Games and Gamification (12 papers) and Innovative Teaching and Learning Methods (9 papers). Kamran Sedig is often cited by papers focused on Data Visualization and Analytics (31 papers), Educational Games and Gamification (12 papers) and Innovative Teaching and Learning Methods (9 papers). Kamran Sedig collaborates with scholars based in Canada, United States and United Arab Emirates. Kamran Sedig's co-authors include Hai‐Ning Liang, Paul Parsons, Mark Sumner, Maria Klawe, Robert Haworth, Eric McArthur, Amit X. Garg, George Gadanidis, Anton Ninkov and Robert E. Mercer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Kamran Sedig

75 papers receiving 923 citations

Author Peers

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

Author Last Decade Papers Cites
Kamran Sedig 384 210 206 153 132 84 990
Ombretta Gaggi 206 0.5× 109 0.5× 128 0.6× 60 0.4× 161 1.2× 84 833
Isidoros Perikos 125 0.3× 512 2.4× 132 0.6× 86 0.6× 76 0.6× 88 1.0k
Frank Hopfgartner 378 1.0× 281 1.3× 179 0.9× 34 0.2× 150 1.1× 110 987
Sharon McDonald 97 0.3× 128 0.6× 216 1.0× 117 0.8× 108 0.8× 47 1.2k
Nor Azan Mat Zin 84 0.2× 196 0.9× 354 1.7× 233 1.5× 150 1.1× 98 990
Kent L. Norman 117 0.3× 90 0.4× 143 0.7× 148 1.0× 178 1.3× 72 1.1k
Brian Smith 79 0.2× 81 0.4× 262 1.3× 161 1.1× 239 1.8× 88 1.1k
Mike Wald 110 0.3× 157 0.7× 120 0.6× 239 1.6× 99 0.8× 92 872
Simone Kriglstein 307 0.8× 226 1.1× 212 1.0× 48 0.3× 336 2.5× 88 862
Aisling Kelliher 328 0.9× 244 1.2× 56 0.3× 42 0.3× 184 1.4× 69 1.2k

Countries citing papers authored by Kamran Sedig

Since Specialization
Citations

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

Fields of papers citing papers by Kamran Sedig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamran Sedig

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