Kuruva Manohar

52 total papers · 592 total citations
37 papers, 397 citations indexed

About

Kuruva Manohar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Kuruva Manohar has authored 37 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Kuruva Manohar's work include Medical Imaging Techniques and Applications (11 papers), Medical Imaging and Pathology Studies (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Kuruva Manohar is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Medical Imaging and Pathology Studies (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Kuruva Manohar collaborates with scholars based in India, United States and Austria. Kuruva Manohar's co-authors include Anish Bhattacharya, Bhagwant Rai Mittal, Raghava Kashyap, Subhash Varma, Gurpreet Singh, Mark E. Mullins, Hyunsuk Shim, Brent D. Weinberg, Pankaj Malhotra and Neelam Varma and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Nuclear Medicine and Molecular Imaging and Journal of Computer Assisted Tomography.

In The Last Decade

Kuruva Manohar

35 papers receiving 392 citations

Author Peers

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

Author						Papers	Cites
Kuruva Manohar	206	102	87	77	67	37	397
Mohei Abouzied	170 0.8×	114 1.1×	74 0.9×	115 1.5×	99 1.5×	31	433
Sebastian Krämer	116 0.6×	100 1.0×	46 0.5×	83 1.1×	69 1.0×	36	355
Şeyma Yıldız	132 0.6×	134 1.3×	90 1.0×	99 1.3×	32 0.5×	38	419
Kazuaki Nakashima	129 0.6×	160 1.6×	60 0.7×	135 1.8×	54 0.8×	40	407
S. N. Reske	184 0.9×	170 1.7×	47 0.5×	80 1.0×	37 0.6×	32	420
Francesco Agnello	155 0.8×	136 1.3×	49 0.6×	118 1.5×	35 0.5×	25	395
Sıla Ulus	126 0.6×	102 1.0×	64 0.7×	169 2.2×	29 0.4×	35	393
Eun Ji Han	177 0.9×	152 1.5×	52 0.6×	128 1.7×	78 1.2×	46	419
Rakesh Kumar	84 0.4×	85 0.8×	77 0.9×	195 2.5×	28 0.4×	29	359
Paula Nicole Vieira Pinto Barbosa	134 0.7×	177 1.7×	34 0.4×	116 1.5×	94 1.4×	56	411

Countries citing papers authored by Kuruva Manohar

Since Specialization

Citations

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

Fields of papers citing papers by Kuruva Manohar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuruva Manohar

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