Karishma Sharma

35 total papers · 1.2k total citations
11 papers, 586 citations indexed

About

Karishma Sharma is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Karishma Sharma has authored 11 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 6 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Karishma Sharma's work include Misinformation and Its Impacts (9 papers), Spam and Phishing Detection (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). Karishma Sharma is often cited by papers focused on Misinformation and Its Impacts (9 papers), Spam and Phishing Detection (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). Karishma Sharma collaborates with scholars based in United States, China and India. Karishma Sharma's co-authors include Yan Liu, Feng Qian, He Jiang, Ming Zhang, Natali Ruchansky, Chengyue Gong, Emilio Ferrara, Yan Liu, Yizhou Zhang and Sungyong Seo and has published in prestigious journals such as ACM Transactions on Intelligent Systems and Technology, arXiv (Cornell University) and Proceedings of the ACM Web Conference 2022.

In The Last Decade

Karishma Sharma

10 papers receiving 566 citations

Hit Papers

Combating Fake News 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Karishma Sharma 500 328 287 100 89 11 586
Priyanka Meel 490 1.0× 342 1.0× 254 0.9× 78 0.8× 134 1.5× 32 650
Geraldine Wong Sak Hoi 551 1.1× 247 0.8× 348 1.2× 194 1.9× 46 0.5× 3 657
Johnnatan Messias 367 0.7× 166 0.5× 159 0.6× 71 0.7× 35 0.4× 22 546
Christos Berberidis 181 0.4× 143 0.4× 295 1.0× 36 0.4× 60 0.7× 11 522
Júlio C. S. Reis 458 0.9× 352 1.1× 298 1.0× 36 0.4× 131 1.5× 47 634
Armineh Nourbakhsh 305 0.6× 201 0.6× 322 1.1× 209 2.1× 30 0.3× 31 601
Kashyap Popat 395 0.8× 253 0.8× 418 1.5× 49 0.5× 62 0.7× 14 570
Tom Wilson 345 0.7× 175 0.5× 160 0.6× 62 0.6× 22 0.2× 24 656
Mainack Mondal 263 0.5× 208 0.6× 385 1.3× 51 0.5× 54 0.6× 41 637
Muhammad Shahid Iqbal Malik 294 0.6× 127 0.4× 371 1.3× 51 0.5× 26 0.3× 28 558

Countries citing papers authored by Karishma Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Karishma Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karishma Sharma

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