Nabil Hossain

439 total citations
11 papers, 135 citations indexed

About

Nabil Hossain is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nabil Hossain has authored 11 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nabil Hossain's work include Spam and Phishing Detection (2 papers), Geometric and Algebraic Topology (2 papers) and Algebraic structures and combinatorial models (2 papers). Nabil Hossain is often cited by papers focused on Spam and Phishing Detection (2 papers), Geometric and Algebraic Topology (2 papers) and Algebraic structures and combinatorial models (2 papers). Nabil Hossain collaborates with scholars based in United States, France and Israel. Nabil Hossain's co-authors include John Krumm, Michael Gamon, Henry Kautz, Marjan Ghazvininejad, Luke Zettlemoyer, Eric Horvitz, Lucy Vanderwende, Rakesh Verma, Narasimha Shashidhar and Ann Marie White and has published in prestigious journals such as ACM communications in computer algebra, ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Nabil Hossain

8 papers receiving 119 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nabil Hossain United States	6	88	68	45	14	11	11	135
Luis Chiruzzo Uruguay	9	233 2.6×	81 1.2×	56 1.2×	23 1.6×	28 2.5×	46	296
Peter Potash United States	6	148 1.7×	45 0.7×	48 1.1×	21 1.5×	37 3.4×	17	193
Julia Ive United Kingdom	6	186 2.1×	53 0.8×	53 1.2×	17 1.2×	13 1.2×	28	235
Ringki Das India	5	166 1.9×	15 0.2×	43 1.0×	27 1.9×	11 1.0×	7	209
Farhad Bin Siddique Hong Kong	7	146 1.7×	23 0.3×	31 0.7×	34 2.4×	13 1.2×	9	180
Toyomi Meguro Japan	9	272 3.1×	53 0.8×	23 0.5×	8 0.6×	13 1.2×	24	290
Hua Ai United States	9	199 2.3×	22 0.3×	21 0.5×	34 2.4×	17 1.5×	17	245
Zhengxuan Wu United States	6	101 1.1×	14 0.2×	15 0.3×	25 1.8×	7 0.6×	15	152
Cheongjae Lee South Korea	10	327 3.7×	40 0.6×	21 0.5×	11 0.8×	23 2.1×	28	352
Raquel Justo Spain	8	181 2.1×	29 0.4×	32 0.7×	45 3.2×	21 1.9×	30	238

Countries citing papers authored by Nabil Hossain

Since Specialization

Citations

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

Fields of papers citing papers by Nabil Hossain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabil Hossain

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

All Works

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11 of 11 papers shown

1.

Hossain, Nabil, et al.. (2021). Precise Localization of Homes and Activities: Detecting Drinking-While-Tweeting Patterns in Communities. Proceedings of the International AAAI Conference on Web and Social Media. 10(1). 587–590. 1 indexed citations

2.

Hossain, Nabil, Marjan Ghazvininejad, & Luke Zettlemoyer. (2020). Simple and Effective Retrieve-Edit-Rerank Text Generation. 2532–2538. 29 indexed citations

3.

Hossain, Nabil, John Krumm, Michael Gamon, & Henry Kautz. (2020). SemEval-2020 Task 7: Assessing Humor in Edited News Headlines. 746–758. 44 indexed citations

4.

Hossain, Nabil, et al.. (2020). A Framework for Political Portmanteau Decomposition. Proceedings of the International AAAI Conference on Web and Social Media. 14. 944–948. 1 indexed citations

5.

Hossain, Nabil, John Krumm, & Michael Gamon. (2019). “President Vows to Cut <Taxes> Hair”: Dataset and Analysis of Creative Text Editing for Humorous Headlines. 133–142. 34 indexed citations

6.

Hossain, Nabil, et al.. (2018). Discovering Political Slang in Readers' Comments. Proceedings of the International AAAI Conference on Web and Social Media. 12(1). 6 indexed citations

7.

Hossain, Nabil, John Krumm, Lucy Vanderwende, Eric Horvitz, & Henry Kautz. (2017). Filling the Blanks (hint: plural noun) for Mad Libs Humor. 638–647. 13 indexed citations

8.

Hossain, Nabil, et al.. (2017). Twitter911: A Cautionary Tale. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 712–715.

9.

Hossain, Nabil, et al.. (2014). Implementation of a solution to the conjugacy problem in Thompson's group F. ACM communications in computer algebra. 47(3/4). 120–121. 1 indexed citations

10.

Hossain, Nabil, et al.. (2013). Deciding Conjugacy in Thompson's Group F in Linear Time. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 14. 89–96.

11.

Verma, Rakesh, Narasimha Shashidhar, & Nabil Hossain. (2012). Two-Pronged Phish Snagging. 174–179. 6 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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