Shah Khusro

140 total papers · 1.8k total citations
97 papers, 921 citations indexed

About

Shah Khusro is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shah Khusro has authored 97 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Information Systems, 32 papers in Artificial Intelligence and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shah Khusro's work include Tactile and Sensory Interactions (17 papers), Recommender Systems and Techniques (14 papers) and Web Data Mining and Analysis (13 papers). Shah Khusro is often cited by papers focused on Tactile and Sensory Interactions (17 papers), Recommender Systems and Techniques (14 papers) and Web Data Mining and Analysis (13 papers). Shah Khusro collaborates with scholars based in Pakistan, China and Afghanistan. Shah Khusro's co-authors include Irfan Ullah, Iftikhar Alam, Inayat Khan, Shaukat Ali, Azhar Rauf, Zafar Ali, M. Naeem, Shah Khalid, Guilin Qi and Khan Muhammad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Shah Khusro

91 papers receiving 874 citations

Author Peers

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

Author Last Decade Papers Cites
Shah Khusro 303 221 192 190 148 97 921
Philippe Palanque 243 0.8× 257 1.2× 141 0.7× 132 0.7× 488 3.3× 117 1.1k
Marco Winckler 199 0.7× 107 0.5× 115 0.6× 131 0.7× 317 2.1× 96 865
Julio Abascal 166 0.5× 171 0.8× 252 1.3× 192 1.0× 461 3.1× 94 1.2k
Nitendra Rajput 396 1.3× 265 1.2× 118 0.6× 114 0.6× 148 1.0× 78 943
Christophe Kolski 196 0.6× 167 0.8× 67 0.3× 141 0.7× 330 2.2× 105 1.0k
Jo Lumsden 153 0.5× 244 1.1× 265 1.4× 118 0.6× 353 2.4× 53 1.0k
Hugo Fukś 250 0.8× 167 0.8× 100 0.5× 138 0.7× 336 2.3× 112 951
Delfina Malandrino 257 0.8× 232 1.0× 86 0.4× 297 1.6× 117 0.8× 96 1.0k
Xiaoyi Zhang 118 0.4× 85 0.4× 109 0.6× 221 1.2× 142 1.0× 86 1.1k
Luigi De Russis 146 0.5× 177 0.8× 86 0.4× 215 1.1× 212 1.4× 94 1.1k

Countries citing papers authored by Shah Khusro

Since Specialization
Citations

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

Fields of papers citing papers by Shah Khusro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shah Khusro

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