Hila Becker

2.0k total citations · 1 hit paper
20 papers, 1.2k citations indexed

About

Hila Becker is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Hila Becker has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Information Systems and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Hila Becker's work include Web Data Mining and Analysis (9 papers), Complex Network Analysis Techniques (8 papers) and Advanced Text Analysis Techniques (4 papers). Hila Becker is often cited by papers focused on Web Data Mining and Analysis (9 papers), Complex Network Analysis Techniques (8 papers) and Advanced Text Analysis Techniques (4 papers). Hila Becker collaborates with scholars based in United States, Netherlands and Austria. Hila Becker's co-authors include Luis Gravano, Mor Naaman, Marta Arias, Andrei Broder, Evgeniy Gabrilovich, Bo Pang, Vanja Josifovski, David Maxwell Chickering, Christopher Meek and Suhit Gupta and has published in prestigious journals such as Journal of the American Society for Information Science and Technology, Columbia Academic Commons (Columbia University) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

Hila Becker

19 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Beyond Trending Topics: Real-World Event Identification on Twitter

2011 416 citations Hila Becker, Mor Naaman et al. Columbia Academic Commons (Columbia University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hila Becker United States	11	569	560	398	263	186	20	1.2k
Inbal Ronen Israel	15	291 0.5×	298 0.5×	654 1.6×	227 0.9×	170 0.9×	29	1.0k
Jianshu Weng Singapore	12	875 1.5×	866 1.5×	705 1.8×	348 1.3×	214 1.2×	18	1.7k
Marco Pennacchiotti Italy	22	356 0.6×	1.8k 3.2×	701 1.8×	410 1.6×	176 0.9×	50	2.3k
Fabian Abel Germany	14	247 0.4×	383 0.7×	432 1.1×	137 0.5×	139 0.7×	39	820
Hakim Hacid United Arab Emirates	12	473 0.8×	279 0.5×	375 0.9×	160 0.6×	95 0.5×	47	964
Matthew Hurst United States	17	623 1.1×	867 1.5×	677 1.7×	173 0.7×	129 0.7×	46	1.7k
Michael Mathioudakis Finland	16	821 1.4×	612 1.1×	401 1.0×	513 2.0×	442 2.4×	43	1.6k
Nicola Barbieri Spain	12	576 1.0×	293 0.5×	273 0.7×	92 0.3×	63 0.3×	29	823
Mary McGlohon United States	8	574 1.0×	220 0.4×	178 0.4×	175 0.7×	114 0.6×	14	834
Andrea Tagarelli Italy	21	332 0.6×	511 0.9×	334 0.8×	116 0.4×	78 0.4×	109	1.1k

Countries citing papers authored by Hila Becker

Since Specialization

Citations

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

Fields of papers citing papers by Hila Becker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hila Becker

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Becker, Hila, Mor Naaman, & Luis Gravano. (2021). Beyond Trending Topics: Real-World Event Identification on Twitter. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 438–441. 30 indexed citations

Becker, Hila, et al.. (2021). Automatic Identification and Presentation of Twitter Content for Planned Events. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 655–656. 2 indexed citations

Becker, Hila, Mor Naaman, & Luis Gravano. (2021). Selecting Quality Twitter Content for Events. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 442–445. 2 indexed citations

Barbosa, Raul, Stylianos Basagiannis, Hila Becker, et al.. (2020). The VALU3S ECSEL Project: Verification and Validation of Automated Systems Safety and Security. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 352–359. 1 indexed citations

Becker, Hila, et al.. (2013). Effective Event Identification in Social Media. IEEE Data(base) Engineering Bulletin. 36. 42–50. 11 indexed citations

Becker, Hila, et al.. (2012). Identifying content for planned events across social media sites. 533–542. 108 indexed citations

Naaman, Mor, Hila Becker, & Luis Gravano. (2011). Hip and trendy: Characterizing emerging trends on Twitter. Journal of the American Society for Information Science and Technology. 62(5). 902–918. 223 indexed citations

Becker, Hila, Mor Naaman, & Luis Gravano. (2011). Beyond Trending Topics: Real-World Event Identification on Twitter. Columbia Academic Commons (Columbia University). 5(1). 438–441. 416 indexed citations breakdown →

Becker, Hila, Mor Naaman, & Luis Gravano. (2010). Learning similarity metrics for event identification in social media. 291–300. 257 indexed citations

10.

Becker, Hila, Mor Naaman, & Luis Gravano. (2009). Event Identification in Social Media.. 49 indexed citations

11.

Becker, Hila, Andrei Broder, Evgeniy Gabrilovich, Vanja Josifovski, & Bo Pang. (2009). What happens after an ad click?. 57–66. 20 indexed citations

12.

Becker, Hila, Andrei Broder, Evgeniy Gabrilovich, Vanja Josifovski, & Bo Pang. (2009). Context transfer in search advertising. 656–657. 10 indexed citations

13.

Becker, Hila, Christopher Meek, & David Maxwell Chickering. (2007). Modeling contextual factors of click rates. National Conference on Artificial Intelligence. 1310–1315. 15 indexed citations

14.

Becker, Hila & Marta Arias. (2007). Real-time ranking with concept drift using expert advice. 86–94. 18 indexed citations

15.

Gupta, Suhit, Hila Becker, Gail E. Kaiser, & Salvatore J. Stolfo. (2006). Verifying genre-based clustering approach to content extraction. 875–876. 7 indexed citations

16.

Gupta, Suhit, Hila Becker, Gail E. Kaiser, & Salvatore J. Stolfo. (2005). A Genre-based Clustering Approach to Content Extraction. Columbia Academic Commons (Columbia University). 2 indexed citations

17.

Gupta, Suhit, Gail E. Kaiser, Salvatore J. Stolfo, & Hila Becker. (2005). Genre Classification of Websites Using Search Engine Snippets. Columbia Academic Commons (Columbia University). 1 indexed citations

18.

Becker, Hila. (1998). Unique peanuts bring nations together.. 46(9). 10–11. 1 indexed citations

19.

Becker, Hila, et al.. (1986). A relational bibliographic database. 9(11). 21–28. 1 indexed citations

20.

Becker, Hila, et al.. (1986). Universal relation theory applied to bibliographic data. 9. 29–36. 1 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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