Aman Chadha

878 citations
33 papers · 184 indexed · h-index 8
Topics
Topic Modeling (13 papers)Natural Language Processing Techniques (11 papers)Speech Recognition and Synthesis (6 papers)
Journals
IEEE AccessInternational Journal of Advanced Computer Science and ApplicationsarXiv (Cornell University)

In The Last Decade

Aman Chadha

28 papers receiving 161 citations

Peers

Aman Chadha
Comparison fields: 5 of 67
  • Artificial Intelligence 83
  • Computer Vision and Pattern Recognition 49
  • Signal Processing 22
  • Information Systems 15
  • Sociology and Political Science 13
Replace Yeganeh Kordi with:
Yeganeh Kordi United States
John Mellor United Kingdom
Annajiat Alim Rasel Bangladesh
Tameem Adel United Kingdom
Arjun Akula United States
Galina Deeva Belgium
Yunlong Liang China
Anandhavalli Muniasamy Saudi Arabia
Komminist Weldemariam Italy
Vlad Pandelea Singapore
Aman Chadha relative to Yeganeh Kordi United States Yeganeh Kordi's profile →
Citations per field
00.5×1.5×2.2×
Yeganeh Kordi · 1×
Citations per year

Countries citing papers authored by Aman Chadha

Since Specialization
Citations

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

Fields of papers citing papers by Aman Chadha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aman Chadha

This figure shows the co-authorship network connecting the top 25 collaborators of Aman Chadha. A scholar is included among the top collaborators of Aman Chadha 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 Aman Chadha. Aman Chadha 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 0
3 0
4 7
5 9
6 1
7 1
8 12
9 5
10 1
11 7
12 3
13 1
14 1
15 1
16 6
17 38
18 1
19 5
20 5

About Aman Chadha

Aman Chadha is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 184 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (83 citations) and Computer Vision and Pattern Recognition (49 citations). Aman Chadha has collaborated with scholars based in United States, India and Bangladesh. Frequent co-authors include Amitava Das, Amit Sheth, Swagata Chakraborty, Vipula Rawte, Sriparna Saha, Vinija Jain, Arijit Chowdhury, A. Seetharama Acharya, Parth Patwa and Yixin Wan. Their work appears in journals such as IEEE Access, International Journal of Advanced Computer Science and Applications and arXiv (Cornell University).

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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