Aakash Tripathi

431 total citations · 1 hit paper
11 papers, 197 citations indexed

About

Aakash Tripathi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Aakash Tripathi has authored 11 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Aakash Tripathi's work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (4 papers) and Bioinformatics and Genomic Networks (2 papers). Aakash Tripathi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (4 papers) and Bioinformatics and Genomic Networks (2 papers). Aakash Tripathi collaborates with scholars based in United States and New Zealand. Aakash Tripathi's co-authors include Ghulam Rasool, Ravi P. Ramachandran, Shamoon Ahmad Siddiqui, Paul A. Stewart, Yasin Yılmaz, Matthew B. Schabath, Paul Stewart, Joseph Johnson, Marilyn M. Bui and Ehsan Ullah and has published in prestigious journals such as Cancer Research, International Journal of Molecular Sciences and Sensors.

In The Last Decade

Aakash Tripathi

6 papers receiving 188 citations

Hit Papers

Transformers in Time-Series Analysis: A Tutorial 2023 2026 2024 2025 2023 40 80 120

Peers

Aakash Tripathi
Comparison fields: 5 of 77
  • Artificial Intelligence 68
  • Radiology, Nuclear Medicine and Imaging 24
  • Electrical and Electronic Engineering 24
  • Signal Processing 23
  • Management Science and Operations Research 21
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Citations per field, relative to Aakash Tripathi
Aakash Tripathi · 1×
Citations per year, relative to Aakash Tripathi
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Countries citing papers authored by Aakash Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Aakash Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aakash Tripathi

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 0
5 1
6 1
7 41
8 15
9 0
10
Transformers in Time-Series Analysis: A Tutorial breakdown →
137
11 0

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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