Jason Ramapuram

648 total citations
3 papers, 210 citations indexed

About

Jason Ramapuram is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geology. According to data from OpenAlex, Jason Ramapuram has authored 3 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Geology. Recurrent topics in Jason Ramapuram's work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Vision and Imaging (1 paper). Jason Ramapuram is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Vision and Imaging (1 paper). Jason Ramapuram collaborates with scholars based in Switzerland and United States. Jason Ramapuram's co-authors include Alexandros Kalousis, Joshua M. Susskind, Mike Roberts, Anurag Ranjan, Russ Webb, Miguel Ángel Bautista, Lucas Smaira, Adrià Recasens, Rosalia Schneider and Relja Arandjelović and has published in prestigious journals such as Neurocomputing, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Neural Information Processing Systems.

In The Last Decade

Jason Ramapuram

3 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason Ramapuram Switzerland	3	157	75	39	26	24	3	210
Khoi Nguyen United States	6	132 0.8×	32 0.4×	59 1.5×	30 1.2×	13 0.5×	14	180
Huy Tho Ho United States	7	227 1.4×	51 0.7×	34 0.9×	21 0.8×	8 0.3×	10	272
Ajad Chhatkuli Switzerland	12	208 1.3×	53 0.7×	106 2.7×	25 1.0×	18 0.8×	21	267
Mingmin Zhen Hong Kong	5	151 1.0×	59 0.8×	55 1.4×	21 0.8×	8 0.3×	8	204
Yu-Ying Yeh United States	7	271 1.7×	79 1.1×	24 0.6×	30 1.2×	69 2.9×	10	325
Yueh-Cheng Liu Taiwan	6	151 1.0×	61 0.8×	52 1.3×	42 1.6×	14 0.6×	7	223
Xianfang Zeng China	9	222 1.4×	57 0.8×	75 1.9×	27 1.0×	8 0.3×	15	290
Hwasup Lim South Korea	10	196 1.2×	25 0.3×	35 0.9×	12 0.5×	15 0.6×	37	270
Pierluigi Zama Ramirez Italy	9	146 0.9×	49 0.7×	33 0.8×	6 0.2×	14 0.6×	21	192
Wenhao Chai United States	11	142 0.9×	49 0.7×	13 0.3×	8 0.3×	19 0.8×	28	211

Countries citing papers authored by Jason Ramapuram

Since Specialization

Citations

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

Fields of papers citing papers by Jason Ramapuram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Ramapuram

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

All Works

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3 of 3 papers shown

1.

Roberts, Mike, Jason Ramapuram, Anurag Ranjan, et al.. (2021). Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10892–10902. 143 indexed citations

2.

Alayrac, Jean-Baptiste, Adrià Recasens, Rosalia Schneider, et al.. (2020). Self-Supervised MultiModal Versatile Networks. Neural Information Processing Systems. 33. 25–37. 7 indexed citations

3.

Ramapuram, Jason, et al.. (2020). Lifelong generative modeling. Neurocomputing. 404. 381–400. 60 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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