Dipali Bansal

96 total papers · 497 total citations
54 papers, 256 citations indexed

About

Dipali Bansal is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Dipali Bansal has authored 54 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Cardiology and Cardiovascular Medicine and 15 papers in Biomedical Engineering. Recurrent topics in Dipali Bansal's work include ECG Monitoring and Analysis (15 papers), EEG and Brain-Computer Interfaces (14 papers) and Quantum Computing Algorithms and Architecture (12 papers). Dipali Bansal is often cited by papers focused on ECG Monitoring and Analysis (15 papers), EEG and Brain-Computer Interfaces (14 papers) and Quantum Computing Algorithms and Architecture (12 papers). Dipali Bansal collaborates with scholars based in India and Australia. Dipali Bansal's co-authors include Rashima Mahajan, Ashok K. Salhan, Munna Khan, Mukesh Soni, S. K. Chakarvarti, V.R. Singh, Sonali Kumari, Yogendra Kumar Awasthi, Manoranjan Paul and Shweta Singh and has published in prestigious journals such as Computers in Biology and Medicine, Multimedia Tools and Applications and Wireless Personal Communications.

In The Last Decade

Dipali Bansal

46 papers receiving 236 citations

Author Peers

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

Author						Papers	Cites
Dipali Bansal	104	92	79	38	36	54	256
Sheikh Md. Rabiul Islam	46 0.4×	56 0.6×	82 1.0×	28 0.7×	24 0.7×	53	205
Atman Jbari	90 0.9×	116 1.3×	93 1.2×	13 0.3×	22 0.6×	38	252
Nalan Özkurt	65 0.6×	36 0.4×	114 1.4×	49 1.3×	41 1.1×	47	280
Rahul Kher	124 1.2×	132 1.4×	101 1.3×	64 1.7×	19 0.5×	29	300
Chenglong Dai	63 0.6×	41 0.4×	120 1.5×	27 0.7×	62 1.7×	31	312
Rodica Strungaru	147 1.4×	90 1.0×	131 1.7×	24 0.6×	41 1.1×	41	290
C. Gurudas Nayak	151 1.5×	46 0.5×	112 1.4×	29 0.8×	26 0.7×	35	328
Qingsong Liu	98 0.9×	92 1.0×	111 1.4×	44 1.2×	40 1.1×	28	322
Pekka Loula	57 0.5×	65 0.7×	127 1.6×	26 0.7×	27 0.8×	39	328
R Lavanya	71 0.7×	36 0.4×	80 1.0×	67 1.8×	84 2.3×	62	286

Countries citing papers authored by Dipali Bansal

Since Specialization

Citations

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

Fields of papers citing papers by Dipali Bansal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipali Bansal

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