Rifaquat Rahman

2.1k citations
59 papers · 1000 indexed · h-index 17
Topics
Glioma Diagnosis and Treatment (38 papers)Radiomics and Machine Learning in Medical Imaging (16 papers)Cancer Genomics and Diagnostics (15 papers)

In The Last Decade

Rifaquat Rahman

55 papers receiving 987 citations

Peers

Rifaquat Rahman
Comparison fields: 5 of 83
  • Genetics 562
  • Radiology, Nuclear Medicine and Imaging 333
  • Pulmonary and Respiratory Medicine 243
  • Oncology 226
  • Cancer Research 178
Replace Vincenzo Di Nunno with:
Vincenzo Di Nunno Italy
Lidia Gatto Italy
Shyam Tanguturi United States
Shengyan Hong United States
Raquel Pérez-López Spain
Luís A. Pérez-Romasanta Spain
Meghna Samant United States
Joohee Sul United States
Ugonma Chukwueke United States
Raquibul Hannan United States
Rifaquat Rahman relative to Vincenzo Di Nunno Italy Vincenzo Di Nunno's profile →
Citations per field
00.5×9.8×
Vincenzo Di Nunno · 1×
Citations per year

Countries citing papers authored by Rifaquat Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Rifaquat Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rifaquat Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Rifaquat Rahman. A scholar is included among the top collaborators of Rifaquat Rahman 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 Rifaquat Rahman. Rifaquat Rahman 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 1
3 1
4 0
5 5
6 6
7 2
8 0
9 3
10 13
11 104
12 52
13 6
14 21
15 25
16 49
17 5
18 39
19 12
20 88

About Rifaquat Rahman

Rifaquat Rahman is a scholar working on Genetics, Statistics and Probability and Cancer Research, having authored 59 papers that have together received 1000 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (38 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Cancer Genomics and Diagnostics (15 papers). The work is most often cited by research in Genetics (562 citations), Radiology, Nuclear Medicine and Imaging (333 citations) and Health Informatics (18 citations). Rifaquat Rahman has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Patrick Y. Wen, Brian M. Alexander, David A. Reardon, Lorenzo Trippa, Raymond Y. Huang, Steffen Ventz, Geoffrey Fell, Timothy F. Cloughesy, Ken Chang and Lauren E. Abrey. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Cancer.

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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