Brian Hosler

2.6k total citations · 1 hit paper
8 papers, 2.0k citations indexed

About

Brian Hosler is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Law. According to data from OpenAlex, Brian Hosler has authored 8 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Law. Recurrent topics in Brian Hosler's work include Digital Media Forensic Detection (5 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Brian Hosler is often cited by papers focused on Digital Media Forensic Detection (5 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Brian Hosler collaborates with scholars based in United States, Italy and Sweden. Brian Hosler's co-authors include Michel W. Barsoum, Babak Anasori, Jun Lu, Lars Hultman, Majid Beidaghi, Paul R. C. Kent, Yu Xie, Yury Gogotsi, Matthew C. Stamm and Johanna Rosén and has published in prestigious journals such as ACS Nano, Journal of Applied Physics and IEEE Access.

In The Last Decade

Brian Hosler

8 papers receiving 2.0k 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.

Two-Dimensional, Ordered, Double Transition Metals Carbides (MXenes)

2015 1.6k citations Babak Anasori, Yu Xie et al. ACS Nano profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Hosler United States	8	1.8k	796	366	313	272	8	2.0k
Shunchang Liu China	27	2.1k 1.2×	3.1k 3.9×	191 0.5×	432 1.4×	162 0.6×	59	3.7k
Sung Kyu Jang South Korea	21	2.2k 1.3×	1.3k 1.6×	267 0.7×	232 0.7×	451 1.7×	53	2.6k
Yawei Li China	23	949 0.5×	737 0.9×	193 0.5×	396 1.3×	252 0.9×	110	1.5k
Kuan‐Chieh Huang Taiwan	21	393 0.2×	538 0.7×	456 1.2×	122 0.4×	128 0.5×	62	1.2k
Hongyang Huang China	16	717 0.4×	548 0.7×	180 0.5×	154 0.5×	113 0.4×	35	1.0k
Wenwen Zheng China	22	547 0.3×	689 0.9×	217 0.6×	80 0.3×	111 0.4×	61	1.2k
Jiachen Zhou China	14	617 0.3×	935 1.2×	136 0.4×	160 0.5×	212 0.8×	25	1.2k
Wujun Zhang China	17	562 0.3×	633 0.8×	238 0.7×	113 0.4×	261 1.0×	50	1.4k
Jiaxin Bai China	15	172 0.1×	376 0.5×	410 1.1×	214 0.7×	336 1.2×	35	966
Donghoon Han South Korea	20	246 0.1×	565 0.7×	138 0.4×	156 0.5×	371 1.4×	80	1.2k

Countries citing papers authored by Brian Hosler

Since Specialization

Citations

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

Fields of papers citing papers by Brian Hosler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Hosler

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

8 of 8 papers shown

1.

Salvi, Davide, Brian Hosler, Paolo Bestagini, Matthew C. Stamm, & Stefano Tubaro. (2023). TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection. IEEE Access. 11. 50851–50866. 28 indexed citations

2.

Salvi, Davide, Brian Hosler, Paolo Bestagini, et al.. (2022). Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8962–8966. 31 indexed citations

3.

Hosler, Brian, Davide Salvi, Fabio Antonacci, et al.. (2021). Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1013–1022. 42 indexed citations

4.

Hosler, Brian, et al.. (2020). Open Set Video Camera Model Verification. 2962–2966. 16 indexed citations

5.

Hosler, Brian, et al.. (2019). The Video Authentication and Camera Identification Database: A New Database for Video Forensics. IEEE Access. 7. 76937–76948. 30 indexed citations

6.

Hosler, Brian, et al.. (2019). A Video Camera Model Identification System Using Deep Learning and Fusion. 8271–8275. 23 indexed citations

7.

Anasori, Babak, Yu Xie, Majid Beidaghi, et al.. (2015). Two-Dimensional, Ordered, Double Transition Metals Carbides (MXenes). ACS Nano. 9(10). 9507–9516. 1600 indexed citations breakdown →

8.

Anasori, Babak, Martin Dahlqvist, Joseph Halim, et al.. (2015). Experimental and theoretical characterization of ordered MAX phases Mo2TiAlC2 and Mo2Ti2AlC3. Journal of Applied Physics. 118(9). 265 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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