Garima Suman

559 citations
20 papers · 356 indexed · h-index 10
Topics
Radiomics and Machine Learning in Medical Imaging (13 papers)Pancreatic and Hepatic Oncology Research (11 papers)AI in cancer detection (5 papers)
Partner nations
United StatesIndia

In The Last Decade

Garima Suman

19 papers receiving 353 citations

Peers

Garima Suman
Comparison fields: 5 of 44
  • Oncology 241
  • Radiology, Nuclear Medicine and Imaging 235
  • Artificial Intelligence 109
  • Pulmonary and Respiratory Medicine 60
  • Biomedical Engineering 44
Replace D. Schött with:
D. Schött United States
Anurima Patra India
Camilla Scapicchio Italy
Christina Glasner Germany
Qiyu Zhao China
Jionghui Gu China
Caixia Sun China
Bernadette Redd United States
Marta Ligero Spain
Aurélie Fernandez Germany
Garima Suman relative to D. Schött United States D. Schött's profile →
Citations per field
00.5×4.5×
D. Schött · 1×
Citations per year

Countries citing papers authored by Garima Suman

Since Specialization
Citations

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

Fields of papers citing papers by Garima Suman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garima Suman

This figure shows the co-authorship network connecting the top 25 collaborators of Garima Suman. A scholar is included among the top collaborators of Garima Suman 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 Garima Suman. Garima Suman 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 14
4 1
5 9
6 7
7 37
8 5
9 13
10 11
11 104
12 7
13 14
14 5
15 27
16 2
17 1
18 33
19 18
20 46

About Garima Suman

Garima Suman is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 20 papers that have together received 356 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Pancreatic and Hepatic Oncology Research (11 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Health Informatics (26 citations), Radiology, Nuclear Medicine and Imaging (235 citations) and Oncology (241 citations). Garima Suman has collaborated with scholars based in United States and India. Frequent co-authors include Ajit H. Goenka, Panagiotis Korfiatis, Suresh T. Chari, Ananya Panda, Anurima Patra, Shounak Majumder, Joel G. Fletcher, Timothy L. Kline, Matthew P. Johnson and Mark J. Truty. Their work appears in journals such as Gastroenterology, Clinical Cancer Research and American Journal of Roentgenology.

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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