Manoj Agarwal

568 citations
23 papers · 336 indexed · h-index 13
Topics
AI in cancer detection (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Functional Brain Connectivity Studies (3 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access

In The Last Decade

Manoj Agarwal

22 papers receiving 323 citations

Peers

Manoj Agarwal
Comparison fields: 5 of 81
  • Artificial Intelligence 93
  • Radiology, Nuclear Medicine and Imaging 76
  • Psychiatry and Mental health 69
  • Clinical Psychology 58
  • Molecular Biology 37
Replace Daniel Haak with:
Daniel Haak Germany
Chang Su United States
Flávio Luiz Seixas Brazil
Li Yan Yuan Canada
Kazem Sadegh-Zadeh Germany
Eric V. Strobl United States
Janani Venugopalan United States
Ritu Gautam India
Mingquan Ye China
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Manoj Agarwal relative to Daniel Haak Germany Daniel Haak's profile →
Citations per field
00.5×10×16.3×
Daniel Haak · 1×
Citations per year

Countries citing papers authored by Manoj Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Agarwal. A scholar is included among the top collaborators of Manoj 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 Manoj Agarwal. Manoj 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
#WorkIndexed citations
1 0
2 2
3 11
4 35
5 5
6 16
7 25
8 18
9 14
10 3
11 2
12 14
13 25
14 27
15 17
16 1
17 9
18 2
19 59
20 16

About Manoj Agarwal

Manoj Agarwal is a scholar working on Radiology, Nuclear Medicine and Imaging, Management of Technology and Innovation and Artificial Intelligence, having authored 23 papers that have together received 336 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Health Informatics (17 citations), Family Practice (16 citations) and Psychiatry and Mental health (69 citations). Manoj Agarwal has collaborated with scholars based in India, United Kingdom and South Korea. Frequent co-authors include Naveen Kumar, Virendra Kumar, Ankit Rajpal, Vimal Sharma, Derek Lowe, Bharti Rana, Lovekesh Vig, Indranath Chatterjee, Nitin Agrawal and Greg Wilkinson. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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