Kiana Ehsani

53 total papers · 698 total citations
13 papers, 192 citations indexed

About

Kiana Ehsani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Kiana Ehsani has authored 13 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Kiana Ehsani's work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (5 papers) and Reinforcement Learning in Robotics (4 papers). Kiana Ehsani is often cited by papers focused on Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (5 papers) and Reinforcement Learning in Robotics (4 papers). Kiana Ehsani collaborates with scholars based in United States, Canada and Iran. Kiana Ehsani's co-authors include Roozbeh Mottaghi, Ali Farhadi, Samir Yitzhak Gadre, Shuran Song, Ludwig Schmidt, Gabriel Ilharco, Aniruddha Kembhavi, Luca Weihs, Rose Hendrix and Tanmay Gupta and has published in prestigious journals such as Journal of Graph Theory, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Kiana Ehsani

10 papers receiving 185 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kiana Ehsani	145	68	32	15	9	13	192
Ahmed A. Abdelrahman	96 0.7×	48 0.7×	22 0.7×	17 1.1×	8 0.9×	12	178
Ricardo Sánchez-Matilla	71 0.5×	88 1.3×	21 0.7×	22 1.5×	12 1.3×	14	208
Jian Dong	199 1.4×	67 1.0×	16 0.5×	11 0.7×	5 0.6×	15	281
Christopher Xie	146 1.0×	46 0.7×	60 1.9×	47 3.1×	16 1.8×	7	185
Hangjie Yuan	136 0.9×	89 1.3×	12 0.4×	6 0.4×	3 0.3×	13	169
Ligong Han	202 1.4×	56 0.8×	13 0.4×	9 0.6×	14 1.6×	19	270
Zheming Zuo	77 0.5×	72 1.1×	9 0.3×	13 0.9×	3 0.3×	17	170
Roei Herzig	177 1.2×	113 1.7×	7 0.2×	16 1.1×	6 0.7×	13	229
Yinghong Liao	151 1.0×	95 1.4×	10 0.3×	16 1.1×	24 2.7×	12	258
Ye Zheng	92 0.6×	88 1.3×	38 1.2×	19 1.3×	8 0.9×	13	194

Countries citing papers authored by Kiana Ehsani

Since Specialization

Citations

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

Fields of papers citing papers by Kiana Ehsani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiana Ehsani

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

All Works

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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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