Anees Abrol

2.2k citations
52 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
Functional Brain Connectivity Studies (41 papers)Neural dynamics and brain function (17 papers)Advanced Neuroimaging Techniques and Applications (17 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Anees Abrol

48 papers receiving 1.1k citations

Hit Papers

NeuroMark: An automated and adaptive ICA based pipeline t...2020202620222024202050100150200

Peers

Anees Abrol
Comparison fields: 5 of 98
  • Cognitive Neuroscience 809
  • Radiology, Nuclear Medicine and Imaging 400
  • Artificial Intelligence 182
  • Psychiatry and Mental health 182
  • Experimental and Cognitive Psychology 154
Replace Sandra Vieira with:
Sandra Vieira United Kingdom
Chong-Yaw Wee United States
Liang Zhan United States
Gautam Prasad United States
Guillaume Auzias France
Juntang Zhuang United States
Tong He Singapore
Muhammad Naveed Iqbal Qureshi South Korea
D. Rangaprakash United States
Shreya Bhat India
Anees Abrol relative to Sandra Vieira United Kingdom Sandra Vieira's profile →
Citations per field
00.5×1.6×
Sandra Vieira · 1×
Citations per year

Countries citing papers authored by Anees Abrol

Since Specialization
Citations

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

Fields of papers citing papers by Anees Abrol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anees Abrol

This figure shows the co-authorship network connecting the top 25 collaborators of Anees Abrol. A scholar is included among the top collaborators of Anees Abrol 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 Anees Abrol. Anees Abrol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 2
5 7
6 0
7 12
8 0
9 9
10 24
11 3
12 5
13 125
14 6
15 27
16 13
17 44
18 14
19 8
20 140

About Anees Abrol

Anees Abrol is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (41 papers), Neural dynamics and brain function (17 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). The work is most often cited by research in Cognitive Neuroscience (809 citations), Radiology, Nuclear Medicine and Imaging (400 citations) and Neurology (141 citations). Anees Abrol has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Vince D. Calhoun, Yuhui Du, Zening Fu, Sergey Plis, Mustafa S. Salman, Eswar Damaraju, Jing Sui, Victor M. Vergara, Robyn L. Miller and Dongdong Lin. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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