Sameena Shah

1.4k total citations · 1 hit paper
44 papers, 760 citations indexed

About

Sameena Shah is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Sameena Shah has authored 44 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 8 papers in Information Systems. Recurrent topics in Sameena Shah's work include Topic Modeling (15 papers), Advanced Text Analysis Techniques (14 papers) and Natural Language Processing Techniques (7 papers). Sameena Shah is often cited by papers focused on Topic Modeling (15 papers), Advanced Text Analysis Techniques (14 papers) and Natural Language Processing Techniques (7 papers). Sameena Shah collaborates with scholars based in United States, India and Canada. Sameena Shah's co-authors include Quanzhi Li, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang, Masoud Makrehchi, Wenhui Liao, Robert Martin, Suresh Chandra, Manuela Veloso and Daniel Borrajo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Oxford Review of Economic Policy.

In The Last Decade

Sameena Shah

42 papers receiving 707 citations

Hit Papers

Real-time Rumor Debunking on Twitter 2015 2026 2018 2022 2015 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Real-time Rumor Debunking on Twitter
    2015 229 citations Xiaomo Liu, Armineh Nourbakhsh et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sameena Shah United States 14 406 308 216 214 93 44 760
Muhammad Bilal Zafar Germany 13 466 1.1× 190 0.6× 117 0.5× 214 1.0× 55 0.6× 23 878
Armineh Nourbakhsh United States 12 323 0.8× 306 1.0× 209 1.0× 201 0.9× 24 0.3× 31 607
Apoorv Agarwal United States 13 1.1k 2.7× 194 0.6× 186 0.9× 361 1.7× 62 0.7× 39 1.4k
Boyi Xie United States 6 790 1.9× 152 0.5× 126 0.6× 301 1.4× 90 1.0× 12 1.0k
Damiano Spina Australia 15 535 1.3× 205 0.7× 118 0.5× 302 1.4× 39 0.4× 65 802
Aditya Pal United States 16 525 1.3× 186 0.6× 243 1.1× 560 2.6× 37 0.4× 32 1.1k
Ilia Vovsha United States 4 810 2.0× 150 0.5× 122 0.6× 287 1.3× 60 0.6× 6 975
Francesca Spezzano United States 14 419 1.0× 221 0.7× 269 1.2× 179 0.8× 36 0.4× 63 733
Pik-Mai Hui United States 10 310 0.8× 593 1.9× 176 0.8× 447 2.1× 72 0.8× 15 953
Delip Rao United States 8 780 1.9× 127 0.4× 137 0.6× 241 1.1× 111 1.2× 18 976

Countries citing papers authored by Sameena Shah

Since Specialization
Citations

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

Fields of papers citing papers by Sameena Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sameena Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Sameena Shah. A scholar is included among the top collaborators of Sameena Shah 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 Sameena Shah. Sameena Shah 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.
Nourbakhsh, Armineh, et al.. (2024). Towards a new research agenda for multimodal enterprise document understanding: What are we missing?. 14610–14622. 1 indexed citations
2.
Wang, Dongsheng, et al.. (2023). REFinD: Relation Extraction Financial Dataset. arXiv (Cornell University). 3054–3063. 9 indexed citations
3.
Shah, Sameena, et al.. (2023). The role of family and culture in the disclosure of bad news: A multicentre cross-sectional study in Pakistan. SHILAP Revista de lepidopterología. 3. 100200–100200. 2 indexed citations
4.
Li, Xianzhi, Samuel Chan, Xiaodan Zhu, et al.. (2023). Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks. 408–422. 28 indexed citations
5.
6.
7.
Pham, Hung Viet, Thibaud Lutellier, Jungwon Kim, et al.. (2021). Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. Neural Information Processing Systems. 34. 11 indexed citations
8.
Borrajo, Daniel, Manuela Veloso, & Sameena Shah. (2020). Simulating and classifying behavior in adversarial environments based on action-state traces. 1–8. 6 indexed citations
9.
Petroni, Fabio, et al.. (2018). An Extensible Event Extraction System With Cross-Media Event Resolution. 626–635. 11 indexed citations
10.
Liu, Xiaomo, et al.. (2017). Reuters tracer: Toward automated news production using large scale social media data. 1483–1493. 36 indexed citations
11.
Li, Quanzhi, Sameena Shah, Xiaomo Liu, & Armineh Nourbakhsh. (2017). Data Sets: Word Embeddings Learned from Tweets and General Data. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 428–436. 22 indexed citations
12.
Li, Quanzhi, Sameena Shah, Rui Fang, Armineh Nourbakhsh, & Xiaomo Liu. (2016). Discovering Relevant Hashtags for Health Concepts: A Case Study of Twitter. National Conference on Artificial Intelligence. 7 indexed citations
13.
Liu, Xiaomo, Quanzhi Li, Armineh Nourbakhsh, et al.. (2016). Reuters Tracer. 207–216. 42 indexed citations
14.
Fang, Rui, Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, & Quanzhi Li. (2016). Witness Identification in Twitter. 65–73. 13 indexed citations
15.
Li, Quanzhi, Sameena Shah, Rui Fang, Armineh Nourbakhsh, & Xiaomo Liu. (2016). Tweet Sentiment Analysis by Incorporating Sentiment-Specific Word Embedding and Weighted Text Features. 568–571. 24 indexed citations
16.
Liu, Xiaomo, Armineh Nourbakhsh, Quanzhi Li, Rui Fang, & Sameena Shah. (2015). Real-time Rumor Debunking on Twitter. 1867–1870. 229 indexed citations breakdown →
17.
Shah, Sameena, et al.. (2013). Ants find the shortest path: a mathematical proof. Swarm Intelligence. 7(1). 43–62. 12 indexed citations
18.
Shah, Sameena, Ravi Kothari, Jayadeva, & Suresh Chandra. (2010). Trail formation in ants. A generalized Polya urn process. Swarm Intelligence. 4(2). 145–171. 7 indexed citations
19.
Shah, Sameena, et al.. (2008). Mathematical modeling and convergence analysis of trail formation. National Conference on Artificial Intelligence. 170–175. 5 indexed citations
20.
Shah, Sameena, et al.. (2007). Fast object detection using local feature-based SVMs. 1–5. 4 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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