Vivek Kumar Singh

93 total papers · 1.4k total citations
45 papers, 674 citations indexed

About

Vivek Kumar Singh is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vivek Kumar Singh has authored 45 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vivek Kumar Singh's work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and COVID-19 diagnosis using AI (4 papers). Vivek Kumar Singh is often cited by papers focused on AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and COVID-19 diagnosis using AI (4 papers). Vivek Kumar Singh collaborates with scholars based in United States, Egypt and Spain. Vivek Kumar Singh's co-authors include Mohamed Abdel‐Nasser, Domènec Puig, Hatem A. Rashwan, Nidhi Pandey, Farhan Akram, Md. Mostafa Kamal Sarker, Santiago Romaní, Pierre-Henri Conze, Vincent Jaouen and Dimitris Visvikis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Vivek Kumar Singh

42 papers receiving 645 citations

Author Peers

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

Author						Papers	Cites
Vivek Kumar Singh	351	271	221	94	75	45	674
Omar S. Al-Kadi	299 0.9×	265 1.0×	221 1.0×	49 0.5×	96 1.3×	39	771
Adrián Colomer	317 0.9×	433 1.6×	290 1.3×	110 1.2×	100 1.3×	56	777
Marwa Obayya	275 0.8×	187 0.7×	165 0.7×	86 0.9×	54 0.7×	76	699
Ziming Wang	326 0.9×	180 0.7×	179 0.8×	46 0.5×	48 0.6×	32	609
Tahir Mahmood	225 0.6×	336 1.2×	190 0.9×	58 0.6×	74 1.0×	29	606
Yuqi Fang	210 0.6×	216 0.8×	146 0.7×	72 0.8×	44 0.6×	42	687
Norman Zerbe	492 1.4×	311 1.1×	194 0.9×	116 1.2×	50 0.7×	32	767
Zilong Hu	234 0.7×	203 0.7×	133 0.6×	51 0.5×	57 0.8×	24	635
Anum Masood	304 0.9×	334 1.2×	115 0.5×	83 0.9×	59 0.8×	54	726
Jinzheng Cai	375 1.1×	405 1.5×	354 1.6×	71 0.8×	98 1.3×	17	761

Countries citing papers authored by Vivek Kumar Singh

Since Specialization

Citations

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

Fields of papers citing papers by Vivek Kumar Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vivek Kumar Singh. 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 Vivek Kumar Singh. The network helps show where Vivek Kumar Singh may publish in the future.

Co-authorship network of co-authors of Vivek Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Kumar Singh. A scholar is included among the top collaborators of Vivek Kumar Singh 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 Vivek Kumar Singh. Vivek Kumar Singh 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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