Raghav Subbarao

13 total papers · 503 total citations
9 papers, 317 citations indexed

About

Raghav Subbarao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geometry and Topology. According to data from OpenAlex, Raghav Subbarao has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Geometry and Topology. Recurrent topics in Raghav Subbarao's work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (3 papers) and Morphological variations and asymmetry (2 papers). Raghav Subbarao is often cited by papers focused on Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (3 papers) and Morphological variations and asymmetry (2 papers). Raghav Subbarao collaborates with scholars based in United States. Raghav Subbarao's co-authors include Peter Meer, Oncel Tuzel and Yakup Genç and has published in prestigious journals such as International Journal of Computer Vision.

In The Last Decade

Raghav Subbarao

9 papers receiving 306 citations

Author Peers

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

Author						Papers	Cites
Raghav Subbarao	232	99	58	42	34	9	317
Mario Micheli	165 0.7×	117 1.2×	56 1.0×	31 0.7×	19 0.6×	15	291
H. Rom	221 1.0×	30 0.3×	23 0.4×	11 0.3×	42 1.2×	12	305
Onur C. Hamsici	254 1.1×	28 0.3×	109 1.9×	21 0.5×	25 0.7×	13	333
Bart Braden	36 0.2×	28 0.3×	27 0.5×	30 0.7×	13 0.4×	11	297
Yonathan Aflalo	152 0.7×	15 0.2×	46 0.8×	18 0.4×	121 3.6×	11	242
Andrew D. J. Cross	266 1.1×	65 0.7×	95 1.6×	10 0.2×	22 0.6×	16	336
Hubert Wagener	154 0.7×	66 0.7×	44 0.8×	8 0.2×	71 2.1×	14	330
F. Veillon	167 0.7×	76 0.8×	16 0.3×	3 0.1×	12 0.4×	13	229
Éric Debreuve	191 0.8×	28 0.3×	43 0.7×	3 0.1×	24 0.7×	26	296
M. Zuliani	284 1.2×	146 1.5×	40 0.7×	3 0.1×	16 0.5×	10	345

Countries citing papers authored by Raghav Subbarao

Since Specialization

Citations

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

Fields of papers citing papers by Raghav Subbarao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghav Subbarao

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