Akshat Agrawal

804 total citations
41 papers, 358 citations indexed

About

Akshat Agrawal is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Akshat Agrawal has authored 41 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Akshat Agrawal's work include Clinical practice guidelines implementation (4 papers), Mathematical Dynamics and Fractals (4 papers) and Speech and Audio Processing (3 papers). Akshat Agrawal is often cited by papers focused on Clinical practice guidelines implementation (4 papers), Mathematical Dynamics and Fractals (4 papers) and Speech and Audio Processing (3 papers). Akshat Agrawal collaborates with scholars based in India, United States and Vietnam. Akshat Agrawal's co-authors include Richard N. Shiffman, Luis Marenco, Rong Chen, Bryant T. Karras, Ankit Garg, Ashish Negi, Anurag Jain, Aniruddha M. Deshpande, Matthew O. Adigun and Joseph Bamidele Awotunde and has published in prestigious journals such as Scientific Reports, IEEE Access and Journal of the American Medical Informatics Association.

In The Last Decade

Akshat Agrawal

31 papers receiving 337 citations

Peers

Akshat Agrawal
Comparison fields: 5 of 106
  • Molecular Biology 157
  • Public Health, Environmental and Occupational Health 152
  • Health Information Management 106
  • Artificial Intelligence 106
  • Information Systems 45
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Citations per field, relative to Akshat Agrawal
Akshat Agrawal · 1×
Citations per year, relative to Akshat Agrawal
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Countries citing papers authored by Akshat Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Akshat Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshat Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Akshat Agrawal. A scholar is included among the top collaborators of Akshat Agrawal 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 Akshat Agrawal. Akshat Agrawal 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
# Work Indexed citations
1 0
2 2
3 2
4 3
5 1
6 0
7 1
8 19
9 1
10 2
11 0
12 2
13 11
14 3
15 5
16 14
17
Geometric Modelling Of Complex Objects Using Iterated Function System
1
18 9
19
Evaluation of guideline quality using GEM-Q.
9
20 189

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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