Samira Shaikh

1.2k total citations
54 papers, 492 citations indexed

About

Samira Shaikh is a scholar working on Artificial Intelligence, Sociology and Political Science and Communication. According to data from OpenAlex, Samira Shaikh has authored 54 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 15 papers in Sociology and Political Science and 9 papers in Communication. Recurrent topics in Samira Shaikh's work include Topic Modeling (16 papers), Sentiment Analysis and Opinion Mining (15 papers) and Natural Language Processing Techniques (12 papers). Samira Shaikh is often cited by papers focused on Topic Modeling (16 papers), Sentiment Analysis and Opinion Mining (15 papers) and Natural Language Processing Techniques (12 papers). Samira Shaikh collaborates with scholars based in United States, Canada and Poland. Samira Shaikh's co-authors include Malak Abdullah, Tomek Strzalkowski, Sarah Taylor, Jennifer Stromer‐Galley, George Aaron Broadwell, Sashank Santhanam, Ryan Wesslen, Wenwen Dou, Isaac Cho and Alireza Karduni and has published in prestigious journals such as Heliyon, Bilingualism Language and Cognition and International Journal of Qualitative Methods.

In The Last Decade

Samira Shaikh

49 papers receiving 426 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samira Shaikh United States 14 318 104 95 58 45 54 492
Marco Guerini Italy 13 348 1.1× 97 0.9× 57 0.6× 42 0.7× 62 1.4× 53 521
Hyeju Jang United States 13 286 0.9× 118 1.1× 57 0.6× 54 0.9× 45 1.0× 35 489
Karine Megerdoomian United States 10 231 0.7× 73 0.7× 81 0.9× 65 1.1× 21 0.5× 24 459
Scott Nowson United Kingdom 9 298 0.9× 78 0.8× 54 0.6× 98 1.7× 94 2.1× 20 525
Eduardo Blanco United States 14 545 1.7× 79 0.8× 38 0.4× 87 1.5× 65 1.4× 72 693
Fabio Celli Italy 11 226 0.7× 120 1.2× 78 0.8× 131 2.3× 79 1.8× 24 506
A. Seza Doğruöz Netherlands 12 343 1.1× 43 0.4× 40 0.4× 16 0.3× 64 1.4× 32 578
Joan-Isaac Biel Switzerland 13 188 0.6× 133 1.3× 159 1.7× 136 2.3× 32 0.7× 19 593
Doğan Can United States 14 636 2.0× 93 0.9× 85 0.9× 178 3.1× 95 2.1× 28 920
Magnus Lundeberg Sweden 8 126 0.4× 127 1.2× 86 0.9× 126 2.2× 15 0.3× 13 391

Countries citing papers authored by Samira Shaikh

Since Specialization
Citations

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

Fields of papers citing papers by Samira Shaikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samira Shaikh

This figure shows the co-authorship network connecting the top 25 collaborators of Samira Shaikh. A scholar is included among the top collaborators of Samira Shaikh 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 Samira Shaikh. Samira Shaikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gallicano, Tiffany Derville, Ryan Wesslen, Jean‐Claude Thill, Zhuo Cheng, & Samira Shaikh. (2023). Hot Issue Publics in the New Media Age: An Analysis of the Charlotte Protest. Journal of Public Relations Research. 36(1). 23–44. 1 indexed citations
2.
Gallicano, Tiffany Derville, et al.. (2023). The Concentric Firestorm: A Qualitative Study of Black Lives Matter Activism and the COVID-19 Pandemic. Journal of Public Relations Research. 35(2). 63–85. 1 indexed citations
3.
Shaikh, Samira, et al.. (2022). Improving Dialogue Act Recognition with Augmented Data. 471–479.
4.
Santhanam, Sashank, et al.. (2022). Towards Evaluation of Multi-party Dialogue Systems. 278–287. 1 indexed citations
5.
Feldman, Laurie Beth, et al.. (2021). Insights into codeswitching from online communication: Effects of language preference and conditions arising from vocabulary richness. Bilingualism Language and Cognition. 24(4). 791–797. 3 indexed citations
6.
Choudhury, Sourav, et al.. (2021). Community Connect: A Mock Social Media Platform to Study Online Behavior. 1073–1076. 2 indexed citations
7.
Al‐Shaer, Ehab, Archna Bhatia, Zhuo Cheng, et al.. (2020). Active Defense Against Social Engineering: The Case for Human Language Technology. 1–8. 2 indexed citations
8.
Marzouki, Yousri, et al.. (2020). The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack. Heliyon. 6(8). e04311–e04311. 7 indexed citations
9.
Shaikh, Samira, et al.. (2019). Emoji Usage Across Platforms: A Case Study for the Charlottesville Event. Meeting of the Association for Computational Linguistics. 160–162. 5 indexed citations
10.
Chen, Shi, et al.. (2018). Dynamics of Health Agency Response and Public Engagement in Public Health Emergency: A Case Study of CDC Tweeting Patterns During the 2016 Zika Epidemic. JMIR Public Health and Surveillance. 4(4). e10827–e10827. 25 indexed citations
11.
Abdullah, Malak & Samira Shaikh. (2018). TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning. 350–357. 44 indexed citations
12.
Liu, Ting, et al.. (2016). The Validation of MRCPD Cross-language Expansions on Imageability Ratings.. Language Resources and Evaluation. 3748–3751. 1 indexed citations
13.
Shaikh, Samira, Kit W. Cho, Tomek Strzalkowski, et al.. (2016). ANEW+: Automatic Expansion and Validation of Affective Norms of Words Lexicons in Multiple Languages.. Language Resources and Evaluation. 1127–1132. 4 indexed citations
14.
Shaikh, Samira, Tomek Strzalkowski, Ting Liu, et al.. (2014). A Multi-Cultural Repository of Automatically Discovered Linguistic and Conceptual Metaphors. Language Resources and Evaluation. 2495–2500. 3 indexed citations
15.
Liu, Ting, Kit W. Cho, George Aaron Broadwell, et al.. (2014). Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings. Language Resources and Evaluation. 2800–2805. 7 indexed citations
16.
Shaikh, Samira, et al.. (2013). Topical Positioning: A New Method for Predicting Opinion Changes in Conversation. 41–48. 5 indexed citations
17.
Liu, Ting, et al.. (2012). Extending the MPC corpus to Chinese and Urdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language. Language Resources and Evaluation. 2868–2873. 3 indexed citations
18.
Shaikh, Samira, et al.. (2010). MPC: A Multi-Party Chat Corpus for Modeling Social Phenomena in Discourse. Language Resources and Evaluation. 17 indexed citations
19.
Strzalkowski, Tomek, George Aaron Broadwell, Jennifer Stromer‐Galley, et al.. (2010). Modeling Socio-Cultural Phenomena in Discourse. International Conference on Computational Linguistics. 1038–1046. 25 indexed citations
20.
Wu, Min, et al.. (2005). ILQUA--An IE-Driven Question Answering System.. Text REtrieval Conference. 8 indexed citations

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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