Sahar Abdelnabi

633 total citations · 1 hit paper
11 papers, 289 citations indexed

About

Sahar Abdelnabi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Sahar Abdelnabi has authored 11 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Information Systems. Recurrent topics in Sahar Abdelnabi's work include Generative Adversarial Networks and Image Synthesis (3 papers), Digital Media Forensic Detection (3 papers) and Advanced Malware Detection Techniques (3 papers). Sahar Abdelnabi is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Digital Media Forensic Detection (3 papers) and Advanced Malware Detection Techniques (3 papers). Sahar Abdelnabi collaborates with scholars based in Germany and United States. Sahar Abdelnabi's co-authors include Mario Fritz, Ning Yu, Thorsten Holz, Shailesh Mishra, Christoph Endres, Rakibul Hasan, Ahmed Salem, Andrew Paverd, Michael Xuelin Huang and Katharina Krombholz and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Sahar Abdelnabi

11 papers receiving 265 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.

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

2023 127 citations Sahar Abdelnabi, Shailesh Mishra et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sahar Abdelnabi Germany	4	148	94	55	55	39	11	289
Christopher A. Choquette-Choo United States	6	302 2.0×	84 0.9×	67 1.2×	33 0.6×	19 0.5×	10	406
Mohammad Al-Rubaie United States	4	226 1.5×	46 0.5×	51 0.9×	35 0.6×	33 0.8×	5	307
Baiwu Zhang Canada	2	216 1.5×	68 0.7×	34 0.6×	16 0.3×	13 0.3×	2	290
Xingen Wang China	11	169 1.1×	51 0.5×	115 2.1×	39 0.7×	9 0.2×	19	309
Fatemehsadat Mireshghallah United States	11	285 1.9×	60 0.6×	36 0.7×	13 0.2×	28 0.7×	15	367
Yaochen Zhu China	8	131 0.9×	70 0.7×	85 1.5×	19 0.3×	15 0.4×	37	237
Dingfan Chen Germany	5	271 1.8×	73 0.8×	33 0.6×	40 0.7×	12 0.3×	9	311
Hadj Ahmed Bouarara Algeria	8	120 0.8×	23 0.2×	58 1.1×	16 0.3×	15 0.4×	29	179
Esfandiar Mohammadi Germany	9	207 1.4×	16 0.2×	44 0.8×	28 0.5×	27 0.7×	26	251

Countries citing papers authored by Sahar Abdelnabi

Since Specialization

Citations

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

Fields of papers citing papers by Sahar Abdelnabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahar Abdelnabi

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

11 of 11 papers shown

1.

Abdelnabi, Sahar, et al.. (2025). Get My Drift? Catching LLM Task Drift with Activation Deltas. 43–67. 3 indexed citations

2.

Abdelnabi, Sahar, et al.. (2024). Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation. 83548–83599. 2 indexed citations

3.

Abdelnabi, Sahar, et al.. (2023). From Attachments to SEO: Click Here to Learn More about Clickbait PDFs!. Annual Computer Security Applications Conference. 14–28. 1 indexed citations

4.

Abdelnabi, Sahar, et al.. (2023). Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. 79–90. 127 indexed citations breakdown →

5.

Abdelnabi, Sahar, Rakibul Hasan, & Mario Fritz. (2022). Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14920–14929. 43 indexed citations

6.

Yu, Ning, et al.. (2021). Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14428–14437. 97 indexed citations

7.

Yu, Ning, et al.. (2021). Artificial GAN Fingerprints: Rooting Deepfake Attribution in Training Data. 5 indexed citations

8.

Abdelnabi, Sahar & Mario Fritz. (2021). What's in the box. 3–12. 3 indexed citations

9.

Yu, Ning, et al.. (2020). Black-Box Watermarking for Generative Adversarial Networks.. arXiv (Cornell University). 2 indexed citations

10.

Abdelnabi, Sahar, Katharina Krombholz, & Mario Fritz. (2019). WhiteNet: Phishing Website Detection by Visual Whitelists. 3 indexed citations

11.

Abdelnabi, Sahar, Michael Xuelin Huang, & Andreas Bulling. (2019). Towards High-Frequency SSVEP-Based Target Discrimination with an Extended Alphanumeric Keyboard. 4181–4186. 3 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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