Ankit Das

69 total papers · 778 total citations
44 papers, 543 citations indexed

About

Ankit Das is a scholar working on Artificial Intelligence, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Ankit Das has authored 44 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Biomedical Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Ankit Das's work include Fuzzy Logic and Control Systems (11 papers), Neural Networks and Applications (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Ankit Das is often cited by papers focused on Fuzzy Logic and Control Systems (11 papers), Neural Networks and Applications (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Ankit Das collaborates with scholars based in Singapore, India and United States. Ankit Das's co-authors include Suresh Sundaram, K. R. Subramanian, N. Sundararajan, Savitha Ramasamy, Feng Yang, Mohamed Habibullah, Arvind Kumar, Jayesh Mudgal, Shaista Hussain and Manas Kinra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Expert Systems with Applications.

In The Last Decade

Ankit Das

43 papers receiving 532 citations

Author Peers

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

Author						Papers	Cites
Ankit Das	183	120	108	107	72	44	543
Sanjeev Kumar	146 0.8×	128 1.1×	72 0.7×	76 0.7×	73 1.0×	52	529
Wenbo Zhao	144 0.8×	37 0.3×	99 0.9×	77 0.7×	73 1.0×	31	578
Ramviyas Parasuraman	76 0.4×	80 0.7×	50 0.5×	123 1.1×	65 0.9×	62	524
Wenkai Huang	55 0.3×	77 0.6×	62 0.6×	50 0.5×	140 1.9×	48	476
Dora-Luz Almanza-Ojeda	86 0.5×	85 0.7×	67 0.6×	94 0.9×	43 0.6×	46	498
Lei Su	107 0.6×	27 0.2×	102 0.9×	179 1.7×	96 1.3×	77	516
Jingyu Liu	148 0.8×	98 0.8×	46 0.4×	154 1.4×	152 2.1×	48	584
Guanghua Xu	71 0.4×	119 1.0×	191 1.8×	66 0.6×	119 1.7×	51	585
Amin Hosseini	48 0.3×	73 0.6×	193 1.8×	60 0.6×	58 0.8×	54	572
Shuang Liang	53 0.3×	65 0.5×	200 1.9×	67 0.6×	86 1.2×	52	468

Countries citing papers authored by Ankit Das

Since Specialization

Citations

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

Fields of papers citing papers by Ankit Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Das

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