Shivam Sharma

74 total papers · 562 total citations
28 papers, 208 citations indexed

About

Shivam Sharma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shivam Sharma has authored 28 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Shivam Sharma's work include Speech and Audio Processing (6 papers), Music and Audio Processing (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). Shivam Sharma is often cited by papers focused on Speech and Audio Processing (6 papers), Music and Audio Processing (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). Shivam Sharma collaborates with scholars based in India, Qatar and Nepal. Shivam Sharma's co-authors include Tanmoy Chakraborty, Preslav Nakov, Aman Sharma, Md Shad Akhtar, Balasubramanian Raman, Ankush Mittal, Shraman Pramanick, Dimitar Dimitrov, Vinay Kumar Mittal and Avita Katal and has published in prestigious journals such as International Journal of Advanced Computer Science and Applications, Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation and Research Explorer (The University of Manchester).

In The Last Decade

Shivam Sharma

21 papers receiving 190 citations

Author Peers

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

Author Last Decade Papers Cites
Shivam Sharma 129 105 73 47 31 28 208
Hui Yin 139 1.1× 52 0.5× 45 0.6× 67 1.4× 25 0.8× 19 255
Maria Chiara Caschera 111 0.9× 66 0.6× 57 0.8× 22 0.5× 32 1.0× 21 202
Viera Krešňáková 101 0.8× 55 0.5× 62 0.8× 34 0.7× 12 0.4× 17 216
Filipo Sharevski 77 0.6× 121 1.2× 44 0.6× 17 0.4× 15 0.5× 35 195
Olga Papadopoulou 109 0.8× 186 1.8× 126 1.7× 44 0.9× 67 2.2× 17 262
Souvick Ghosh 162 1.3× 62 0.6× 90 1.2× 43 0.9× 7 0.2× 37 236
Tempestt Neal 130 1.0× 31 0.3× 93 1.3× 56 1.2× 25 0.8× 26 219
Xu Chun 124 1.0× 112 1.1× 67 0.9× 23 0.5× 25 0.8× 33 246
Federico Peinado 176 1.4× 48 0.5× 18 0.2× 12 0.3× 51 1.6× 25 247
Sattam Almatarneh 73 0.6× 19 0.2× 57 0.8× 18 0.4× 14 0.5× 26 195

Countries citing papers authored by Shivam Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Shivam Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivam Sharma

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