Sudhir Raman

18 total papers · 570 total citations
8 papers, 213 citations indexed

About

Sudhir Raman is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sudhir Raman has authored 8 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Cognitive Neuroscience and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sudhir Raman's work include Functional Brain Connectivity Studies (5 papers), Bayesian Methods and Mixture Models (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Sudhir Raman is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Bayesian Methods and Mixture Models (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Sudhir Raman collaborates with scholars based in Switzerland, Germany and United Kingdom. Sudhir Raman's co-authors include Klaas Ε. Stephan, Jakob Heinzle, Hanneke E.M. den Ouden, Peter J. Koopmans, Edgar Dahl, Peter J. Wild, Thomas J. Fuchs, Volker Röth, W.D. Penny and Eduardo A. Aponte and has published in prestigious journals such as NeuroImage, BMC Bioinformatics and Machine Learning.

In The Last Decade

Sudhir Raman

8 papers receiving 211 citations

Author Peers

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

Author						Papers	Cites
Sudhir Raman	131	82	47	28	18	8	213
Joshua T. Vogelstein	139 1.1×	70 0.9×	22 0.5×	16 0.6×	9 0.5×	11	213
Joshua Cape	46 0.4×	24 0.3×	52 1.1×	21 0.8×	18 1.0×	21	171
Alexander Bowring	145 1.1×	75 0.9×	21 0.4×	16 0.6×	22 1.2×	8	211
Gino Del Ferraro	123 0.9×	67 0.8×	26 0.6×	7 0.3×	20 1.1×	14	324
Todd Ogden	72 0.5×	35 0.4×	26 0.6×	42 1.5×	17 0.9×	10	323
Silke Dodel	249 1.9×	92 1.1×	20 0.4×	4 0.1×	23 1.3×	14	306
Lewis John	239 1.8×	81 1.0×	55 1.2×	5 0.2×	13 0.7×	2	303
Maria Vounou	76 0.6×	56 0.7×	39 0.8×	38 1.4×	6 0.3×	6	319
Lijun An	96 0.7×	59 0.7×	71 1.5×	5 0.2×	21 1.2×	9	223
Johanna Bayer	154 1.2×	94 1.1×	24 0.5×	6 0.2×	47 2.6×	7	271

Countries citing papers authored by Sudhir Raman

Since Specialization

Citations

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

Fields of papers citing papers by Sudhir Raman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhir Raman

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