Tarun Kalluri

23 total papers · 412 total citations
8 papers, 167 citations indexed

About

Tarun Kalluri is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Tarun Kalluri has authored 8 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Tarun Kalluri's work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (3 papers). Tarun Kalluri is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (3 papers). Tarun Kalluri collaborates with scholars based in United States, India and Dominican Republic. Tarun Kalluri's co-authors include Manmohan Chandraker, C. V. Jawahar, Girish Varma, Du Tran, Deepak Pathak, U. Deva Priyakumar, Shampa Raghunathan, Prabhakar Bhimalapuram, Wang‐Dong Xu and Wei‐Yao Wang and has published in prestigious journals such as The Journal of Physical Chemistry A, Machine Vision and Applications and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Tarun Kalluri

7 papers receiving 162 citations

Author Peers

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

Author						Papers	Cites
Tarun Kalluri	98	53	39	23	20	8	167
Maurice Weiler	158 1.6×	61 1.2×	24 0.6×	22 1.0×	20 1.0×	7	260
George Papamakarios	38 0.4×	55 1.0×	8 0.2×	7 0.3×	6 0.3×	9	180
Linnan Wang	80 0.8×	104 2.0×	9 0.2×	11 0.5×	13 0.7×	7	195
Philipp Seidl	33 0.3×	79 1.5×	43 1.1×	38 1.7×	3 0.1×	8	154
S. Inkinen	68 0.7×	53 1.0×	3 0.1×	5 0.2×	15 0.8×	8	200
Hongcheng Fan	136 1.4×	21 0.4×	11 0.3×	2 0.1×	20 1.0×	12	223
Luke Metz	139 1.4×	104 2.0×	5 0.1×	10 0.4×	8 0.4×	12	223
Nicki Skafte Detlefsen	35 0.4×	47 0.9×	12 0.3×	17 0.7×	7 0.3×	5	189
Yuanfeng Ji	158 1.6×	50 0.9×	7 0.2×	10 0.4×	40 2.0×	6	202
Qiwei Feng	87 0.9×	118 2.2×	3 0.1×	8 0.3×	18 0.9×	8	256

Countries citing papers authored by Tarun Kalluri

Since Specialization

Citations

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

Fields of papers citing papers by Tarun Kalluri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarun Kalluri

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