Aashish Sharma

34 total papers · 527 total citations
16 papers, 277 citations indexed

About

Aashish Sharma is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aashish Sharma has authored 16 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aashish Sharma's work include Network Security and Intrusion Detection (4 papers), Image Enhancement Techniques (3 papers) and Information and Cyber Security (3 papers). Aashish Sharma is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Image Enhancement Techniques (3 papers) and Information and Cyber Security (3 papers). Aashish Sharma collaborates with scholars based in United States, India and Singapore. Aashish Sharma's co-authors include Robby T. Tan, Yeying Jin, Ravishankar K. Iyer, Zbigniew Kalbarczyk, David Wagner, Mobin Javed, Grant Ho, Vern Paxson, Antonio Pecchia and Domenico Cotroneo and has published in prestigious journals such as Water Science & Technology Water Supply, IEEE Transactions on Artificial Intelligence and Bulletin of the American Society for Information Science and Technology.

In The Last Decade

Aashish Sharma

15 papers receiving 263 citations

Author Peers

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

Author Last Decade Papers Cites
Aashish Sharma 96 94 91 61 40 16 277
Abdel-Hamid M. Emara 89 0.9× 84 0.9× 71 0.8× 130 2.1× 12 0.3× 22 332
Prerna Mahajan 108 1.1× 61 0.6× 85 0.9× 133 2.2× 8 0.2× 16 296
Guangzhi Zhang 71 0.7× 58 0.6× 135 1.5× 134 2.2× 9 0.2× 15 300
Gordon W. Romney 49 0.5× 62 0.7× 117 1.3× 38 0.6× 11 0.3× 25 259
Asma Hassan Alshehri 87 0.9× 83 0.9× 87 1.0× 105 1.7× 6 0.1× 24 281
Alicia Guerrero-Curieses 26 0.3× 69 0.7× 13 0.1× 89 1.5× 25 0.6× 24 283
Fei Lang 37 0.4× 99 1.1× 31 0.3× 107 1.8× 5 0.1× 18 295
Fuad M. Alkoot 156 1.6× 19 0.2× 38 0.4× 160 2.6× 18 0.5× 21 328
Vishnu Chalavadi 125 1.3× 29 0.3× 26 0.3× 79 1.3× 50 1.3× 16 299
Matej Artač 137 1.4× 123 1.3× 117 1.3× 64 1.0× 19 0.5× 11 325

Countries citing papers authored by Aashish Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Aashish Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aashish Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Aashish Sharma. A scholar is included among the top collaborators of Aashish Sharma 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 Aashish Sharma. Aashish Sharma 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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2026