Poonam Syal

36 total papers · 418 total citations
22 papers, 285 citations indexed

About

Poonam Syal is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Poonam Syal has authored 22 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Building and Construction. Recurrent topics in Poonam Syal's work include EEG and Brain-Computer Interfaces (4 papers), Building Energy and Comfort Optimization (4 papers) and Gaze Tracking and Assistive Technology (3 papers). Poonam Syal is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Building Energy and Comfort Optimization (4 papers) and Gaze Tracking and Assistive Technology (3 papers). Poonam Syal collaborates with scholars based in India and Pakistan. Poonam Syal's co-authors include Preeti Kumari, Lini Mathew, Ashwani Kumar Aggarwal, H. K. Sardana, Kashish Sharma, Amritpal Singh and Sanjay Kumar Sinha and has published in prestigious journals such as Biosensors and Bioelectronics, Universal Access in the Information Society and Journal of The Institution of Engineers (India) Series A.

In The Last Decade

Poonam Syal

18 papers receiving 269 citations

Author Peers

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

Author						Papers	Cites
Poonam Syal	109	70	61	43	36	22	285
Preeti Kumari	137 1.3×	67 1.0×	91 1.5×	34 0.8×	42 1.2×	17	289
Reiner Wichert	68 0.6×	96 1.4×	52 0.9×	50 1.2×	68 1.9×	29	255
Fernando Ribeiro	57 0.5×	47 0.7×	30 0.5×	14 0.3×	26 0.7×	47	319
Zhaojun Xue	137 1.3×	90 1.3×	49 0.8×	26 0.6×	38 1.1×	18	324
Jing Zhai	140 1.3×	55 0.8×	55 0.9×	20 0.5×	29 0.8×	24	327
Daniel Cesarini	47 0.4×	123 1.8×	41 0.7×	40 0.9×	35 1.0×	26	327
Celal Savur	106 1.0×	33 0.5×	55 0.9×	25 0.6×	119 3.3×	15	323
Mohammad Ashfak Habib	89 0.8×	121 1.7×	52 0.9×	32 0.7×	9 0.3×	19	287
Feng Shu	78 0.7×	28 0.4×	87 1.4×	30 0.7×	13 0.4×	33	263
Angelica Poli	149 1.4×	41 0.6×	58 1.0×	20 0.5×	11 0.3×	26	303

Countries citing papers authored by Poonam Syal

Since Specialization

Citations

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

Fields of papers citing papers by Poonam Syal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Syal

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