Adriana Kovashka

121 total papers · 2.0k total citations
53 papers, 1.1k citations indexed

About

Adriana Kovashka is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Adriana Kovashka has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 4 papers in Sociology and Political Science. Recurrent topics in Adriana Kovashka's work include Multimodal Machine Learning Applications (28 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Domain Adaptation and Few-Shot Learning (18 papers). Adriana Kovashka is often cited by papers focused on Multimodal Machine Learning Applications (28 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Domain Adaptation and Few-Shot Learning (18 papers). Adriana Kovashka collaborates with scholars based in United States, Switzerland and India. Adriana Kovashka's co-authors include Kristen Grauman, Devi Parikh, Li Fei-Fei, Olga Russakovsky, S. Raghavan, Raymond J. Mooney, Sudheendra Vijayanarasimhan, Mingda Zhang, Christopher Thomas and Rebecca Hwa and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Adriana Kovashka

50 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Adriana Kovashka	899	615	128	77	52	53	1.1k
Arash Vahdat	671 0.7×	592 1.0×	62 0.5×	33 0.4×	15 0.3×	31	1.2k
Jihun Hamm	617 0.7×	290 0.5×	72 0.6×	32 0.4×	28 0.5×	35	1.1k
Oswald Lanz	722 0.8×	364 0.6×	67 0.5×	91 1.2×	19 0.4×	58	1.0k
Songfan Yang	1.0k 1.1×	309 0.5×	183 1.4×	53 0.7×	33 0.6×	41	1.3k
Zhenzhong Lan	787 0.9×	549 0.9×	129 1.0×	59 0.8×	7 0.1×	49	1.1k
Peter Tu	1.1k 1.2×	202 0.3×	221 1.7×	42 0.5×	12 0.2×	60	1.3k
Jun Ogata	324 0.4×	418 0.7×	34 0.3×	48 0.6×	22 0.4×	62	946
Pavel Korshunov	1.2k 1.3×	384 0.6×	31 0.2×	25 0.3×	44 0.8×	73	1.5k
Kevin Tang	963 1.1×	580 0.9×	71 0.6×	28 0.4×	22 0.4×	54	1.5k
Li-Qun Xu	951 1.1×	418 0.7×	36 0.3×	95 1.2×	22 0.4×	53	1.4k

Countries citing papers authored by Adriana Kovashka

Since Specialization

Citations

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

Fields of papers citing papers by Adriana Kovashka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adriana Kovashka

This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Kovashka. A scholar is included among the top collaborators of Adriana Kovashka 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 Adriana Kovashka. Adriana Kovashka 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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