Ankit Parekh

44 papers receiving 973 citations

Peers

Ankit Parekh
Comparison fields: 5 of 108
  • Endocrine and Autonomic Systems 143
  • Cognitive Neuroscience 241
  • Physiology 259
  • Experimental and Cognitive Psychology 132
  • Computer Vision and Pattern Recognition 152
Replace J.W.M. Bergmans with:
J.W.M. Bergmans Netherlands
Rik Vullings Netherlands
Hagen Malberg Germany
Joachim A. Behar Israel
P. Caminal Spain
Orla Doyle United Kingdom
M.G. Signorini Italy
Khosrow Behbehani United States
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Citations per year

Countries citing papers authored by Ankit Parekh

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Parekh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ankit Parekh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ankit Parekh Line = papers co-authored together Ankit Parekh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A cohort study of alkaloidal cocaine ("crack") in pregnancy.
1988147
2 201487
3 201686
4 201677
5 202269
6 202068
7 201560
8 201743
9 202042
10 202031
11 202130
12 202329
13 201829
14 201920
15 202317
16 201717
17 201416
18 202115
19 202112
20 202112

About Ankit Parekh

Ankit Parekh is a scholar working on Physiology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems, having authored 52 papers that have together received 997 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (17 papers), Sleep and Wakefulness Research (13 papers), Sleep and related disorders (9 papers), Neuroscience of respiration and sleep (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (143 citations), Cognitive Neuroscience (241 citations), Physiology (259 citations), Experimental and Cognitive Psychology (132 citations) and Computer Vision and Pattern Recognition (152 citations). Ankit Parekh has collaborated with scholars based in United States, Hong Kong and Australia. Frequent co-authors include Ivan Selesnick, Indu Ayappa, David M. Rapoport, Andrew W. Varga, Ricardo S. Osorio, L Glass, Joseph Feldman, Howard Minkoff, İlker Bayram and Anna Mullins. Their work appears in journals such as SLEEP, Neurobiology of Disease, American Journal of Respiratory and Critical Care Medicine, IEEE Signal Processing Letters and Annals of the American Thoracic Society.

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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