Rahul Agarwal

786 total citations
23 papers, 461 citations indexed

About

Rahul Agarwal is a scholar working on Artificial Intelligence, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rahul Agarwal has authored 23 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rahul Agarwal's work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Neural dynamics and brain function (3 papers). Rahul Agarwal is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Neural dynamics and brain function (3 papers). Rahul Agarwal collaborates with scholars based in United States, India and Papua New Guinea. Rahul Agarwal's co-authors include Balázs Vágvölgyi, Gregory D. Hager, Li-Ming Su, Russell H. Taylor, Carol E. Reiley, Sridevi V. Sarma, Saravanan Radhakrishnan, Li-Ming Su, Mohamad E. Allaf and Danil V. Makarov and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Rahul Agarwal

19 papers receiving 445 citations

Peers

Rahul Agarwal
Comparison fields: 5 of 101
  • Surgery 178
  • Biomedical Engineering 152
  • Computer Vision and Pattern Recognition 139
  • Artificial Intelligence 77
  • Aerospace Engineering 58
Replace Weixin Si with:
Weixin Si China
Diego Dall’Alba Italy
Abouzar Eslami Germany
Jay Carriere Canada
Sophia Bano United Kingdom
Yvonne Cagle United States
Ken’ichi Morooka Japan
Marco Beccani United States
Mobarakol Islam United Kingdom
Weixin Si China View profile →
Citations per field, relative to Rahul Agarwal
Rahul Agarwal · 1×
Citations per year, relative to Rahul Agarwal
Rahul Agarwal · 1×

Countries citing papers authored by Rahul Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Agarwal. A scholar is included among the top collaborators of Rahul Agarwal 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 Rahul Agarwal. Rahul Agarwal 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 0
3 0
4 57
5 1
6 2
7 9
8 8
9 16
10 0
11 12
12
A Comparative Study Based on PI and Fuzzy Control of Inverter fed Induction Motor Drive
2
13
A GUI to Detect and Correct Errors in Hindi Dependency Treebank
2
14 15
15 23
16 2
17
Error Detection for Treebank Validation
6
18 177
19 57
20 68

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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