Javid Ebrahimi

1.4k total citations · 1 hit paper
14 papers, 667 citations indexed

About

Javid Ebrahimi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Javid Ebrahimi has authored 14 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 2 papers in Sociology and Political Science. Recurrent topics in Javid Ebrahimi's work include Topic Modeling (5 papers), Complex Network Analysis Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Javid Ebrahimi is often cited by papers focused on Topic Modeling (5 papers), Complex Network Analysis Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Javid Ebrahimi collaborates with scholars based in United States, Poland and Iran. Javid Ebrahimi's co-authors include Daniel Lowd, Anyi Rao, Dejing Dou, Dejing Dou, Amir Pouran Ben Veyseh, NhatHai Phan, Wei Zhang, Mohammad Saniee Abadeh, Franck Dernoncourt and Thien Huu Nguyen and has published in prestigious journals such as IEEE Intelligent Systems, ACM Transactions on Intelligent Systems and Technology and arXiv (Cornell University).

In The Last Decade

Javid Ebrahimi

14 papers receiving 643 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.

HotFlip: White-Box Adversarial Examples for Text Classification

2018 477 citations Javid Ebrahimi, Anyi Rao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Javid Ebrahimi United States	8	611	147	82	62	61	14	667
Gu Xu China	14	432 0.7×	146 1.0×	326 4.0×	19 0.3×	161 2.6×	17	658
Zhi Xu United States	10	109 0.2×	75 0.5×	77 0.9×	32 0.5×	31 0.5×	22	261
Eli Lifland United States	4	326 0.5×	83 0.6×	48 0.6×	31 0.5×	38 0.6×	4	374
Tianchi Yang China	7	453 0.7×	24 0.2×	194 2.4×	128 2.1×	57 0.9×	8	559
Yuede Ji United States	10	160 0.3×	146 1.0×	150 1.8×	26 0.4×	61 1.0×	27	323
Barry Schiffman United States	12	525 0.9×	44 0.3×	170 2.1×	18 0.3×	81 1.3×	22	606
Ahmed El-Kishky United States	12	392 0.6×	25 0.2×	109 1.3×	12 0.2×	62 1.0×	29	455
Russell Swan United States	7	311 0.5×	84 0.6×	224 2.7×	20 0.3×	113 1.9×	8	467
Weixiang Shao United States	10	242 0.4×	37 0.3×	134 1.6×	34 0.5×	154 2.5×	15	383
Bishan Yang United States	11	760 1.2×	20 0.1×	130 1.6×	19 0.3×	55 0.9×	18	809

Countries citing papers authored by Javid Ebrahimi

Since Specialization

Citations

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

Fields of papers citing papers by Javid Ebrahimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javid Ebrahimi

This figure shows the co-authorship network connecting the top 25 collaborators of Javid Ebrahimi. A scholar is included among the top collaborators of Javid Ebrahimi 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 Javid Ebrahimi. Javid Ebrahimi 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:

14 of 14 papers shown

1.

Veyseh, Amir Pouran Ben, Javid Ebrahimi, Franck Dernoncourt, & Thien Huu Nguyen. (2022). MEE: A Novel Multilingual Event Extraction Dataset. 9603–9613. 3 indexed citations

2.

Yeh, Chin‐Chia Michael, Mengting Gu, Yan Zheng, et al.. (2022). Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4391–4401. 3 indexed citations

3.

Ebrahimi, Javid, et al.. (2020). How Can Self-Attention Networks Recognize Dyck-n Languages?. 4301–4306. 10 indexed citations

4.

Ebrahimi, Javid, Anyi Rao, Daniel Lowd, & Dejing Dou. (2018). HotFlip: White-Box Adversarial Examples for Text Classification. 31–36. 477 indexed citations breakdown →

5.

Ebrahimi, Javid, Anyi Rao, Daniel Lowd, & Dejing Dou. (2017). HotFlip: White-Box Adversarial Examples for NLP. arXiv (Cornell University). 19 indexed citations

6.

Veyseh, Amir Pouran Ben, Javid Ebrahimi, Dejing Dou, & Daniel Lowd. (2017). A Temporal Attentional Model for Rumor Stance Classification. 2335–2338. 25 indexed citations

7.

Ebrahimi, Javid, Dejing Dou, & Daniel Lowd. (2016). A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets. International Conference on Computational Linguistics. 2656–2665. 20 indexed citations

8.

Ebrahimi, Javid, Dejing Dou, & Daniel Lowd. (2016). Weakly Supervised Tweet Stance Classification by Relational Bootstrapping. 1012–1017. 35 indexed citations

9.

Phan, NhatHai, et al.. (2016). Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network. ACM Transactions on Intelligent Systems and Technology. 8(1). 1–20. 6 indexed citations

10.

Ebrahimi, Javid, et al.. (2016). Characterizing Physical Activity in a Health Social Network. 31. 123–129. 4 indexed citations

11.

Ebrahimi, Javid & Dejing Dou. (2016). Personalized Semantic Word Vectors. 31. 1925–1928. 1 indexed citations

12.

Phan, NhatHai, et al.. (2015). Topic-Aware Physical Activity Propagation in a Health Social Network. IEEE Intelligent Systems. 31(1). 5–14. 16 indexed citations

13.

Ebrahimi, Javid & Dejing Dou. (2015). Chain Based RNN for Relation Classification. 1244–1249. 47 indexed citations

14.

Ebrahimi, Javid & Mohammad Saniee Abadeh. (2012). A New Parametric Estimation Method for Graph-based Clustering. 1–5. 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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