R. Ramani

151 total papers · 1.0k total citations
56 papers, 687 citations indexed

About

R. Ramani is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, R. Ramani has authored 56 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in R. Ramani's work include Retinal Imaging and Analysis (8 papers), Data Mining Algorithms and Applications (8 papers) and Digital Imaging for Blood Diseases (7 papers). R. Ramani is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Data Mining Algorithms and Applications (8 papers) and Digital Imaging for Blood Diseases (7 papers). R. Ramani collaborates with scholars based in India, United States and Pakistan. R. Ramani's co-authors include Shomona Gracia Jacob, S. Shanthi, S. Valarmathy, Abhay Karandikar, Baddireddi Subhadra Lakshmi, Angèle Nalbandian, Tahseen Mozaffar, Sandra Donkervoort, Manaswitha Khare and Marzia Pasquali and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Clinical Genetics.

In The Last Decade

R. Ramani

46 papers receiving 590 citations

Author Peers

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

Author						Papers	Cites
R. Ramani	158	116	109	101	96	56	687
Muhammad Faheem Mushtaq	346 2.2×	100 0.9×	74 0.7×	29 0.3×	136 1.4×	45	756
Habib Dhahri	379 2.4×	91 0.8×	97 0.9×	49 0.5×	91 0.9×	46	663
Margarita Gamarra	241 1.5×	121 1.0×	193 1.8×	32 0.3×	75 0.8×	36	623
Shakeel Ahmed	148 0.9×	60 0.5×	63 0.6×	24 0.2×	108 1.1×	60	591
José Escorcia‐Gutierrez	356 2.3×	167 1.4×	226 2.1×	24 0.2×	120 1.3×	53	793
Haya Alaskar	188 1.2×	83 0.7×	106 1.0×	24 0.2×	106 1.1×	36	665
Zhengxia Wang	155 1.0×	80 0.7×	101 0.9×	124 1.2×	78 0.8×	56	783
M. Sivaram	180 1.1×	43 0.4×	96 0.9×	19 0.2×	294 3.1×	59	775
Zheng Xiao	321 2.0×	182 1.6×	159 1.5×	23 0.2×	76 0.8×	54	781
Changcheng Huang	372 2.4×	33 0.3×	78 0.7×	32 0.3×	149 1.6×	22	738

Countries citing papers authored by R. Ramani

Since Specialization

Citations

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

Fields of papers citing papers by R. Ramani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Ramani

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