Neelam Sinha

144 total papers · 681 total citations
73 papers, 399 citations indexed

About

Neelam Sinha is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Neelam Sinha has authored 73 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Cognitive Neuroscience and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Neelam Sinha's work include EEG and Brain-Computer Interfaces (17 papers), Advanced MRI Techniques and Applications (11 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Neelam Sinha is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Advanced MRI Techniques and Applications (11 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Neelam Sinha collaborates with scholars based in India, United States and Singapore. Neelam Sinha's co-authors include A. G. Ramakrishnan, R. Venkatesh Babu, Jitender Saini, Rajikha Raja, Anita Mahadevan, Vivek Kumar, Manojkumar Saranathan, K.R. Ramakrishnan, Suresh Sundaram and Srinivas S S Kruthiventi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Neelam Sinha

61 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Neelam Sinha	160	157	88	86	43	73	399
G. Kavitha	132 0.8×	123 0.8×	54 0.6×	61 0.7×	25 0.6×	73	352
Behzad Nazari	104 0.7×	125 0.8×	41 0.5×	59 0.7×	82 1.9×	25	389
Rasoul Khayati	175 1.1×	102 0.6×	30 0.3×	55 0.6×	14 0.3×	22	371
Aymen Mouelhi	131 0.8×	83 0.5×	32 0.4×	151 1.8×	55 1.3×	44	446
Xingqun Qi	186 1.2×	165 1.1×	54 0.6×	94 1.1×	67 1.6×	27	444
Yuchuan Qiao	67 0.4×	176 1.1×	81 0.9×	45 0.5×	44 1.0×	31	417
Chuan Zhou	124 0.8×	183 1.2×	22 0.3×	144 1.7×	44 1.0×	56	398
Jiancong Wang	155 1.0×	174 1.1×	12 0.1×	96 1.1×	24 0.6×	24	407
Antonios Perperidis	71 0.4×	146 0.9×	41 0.5×	17 0.2×	94 2.2×	29	369
Tati L. R. Mengko	147 0.9×	101 0.6×	15 0.2×	67 0.8×	28 0.7×	64	384

Countries citing papers authored by Neelam Sinha

Since Specialization

Citations

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

Fields of papers citing papers by Neelam Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelam Sinha

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