Amol Takalkar

1.3k citations
45 papers · 888 indexed · h-index 14
Topics
Medical Imaging Techniques and Applications (14 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Cancer Diagnosis and Treatment (6 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Amol Takalkar

41 papers receiving 869 citations

Peers

Amol Takalkar
Comparison fields: 5 of 79
  • Radiology, Nuclear Medicine and Imaging 330
  • Pulmonary and Respiratory Medicine 272
  • Surgery 228
  • Oncology 178
  • Biomedical Engineering 168
Replace Gonca Bural with:
Gonca Bural United States
Masatoyo Nakajo Japan
Sneha Shah India
Archi Agrawal India
Harmandeep Singh India
Jigang Yang China
Toshiki Kazama Japan
Jörn O. Balzer Germany
Ayşe Mavi United States
Simin Dadparvar United States
Amol Takalkar relative to Gonca Bural United States Gonca Bural's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Amol Takalkar

Since Specialization
Citations

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

Fields of papers citing papers by Amol Takalkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amol Takalkar

This figure shows the co-authorship network connecting the top 25 collaborators of Amol Takalkar. A scholar is included among the top collaborators of Amol Takalkar 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 Amol Takalkar. Amol Takalkar 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 4
2 8
3 22
4 8
5 6
6 11
7 7
8 48
9 4
10 62
11 7
12 24
13 1
14 2
15 8
16 19
17 60
18 9
19 183
20 46

About Amol Takalkar

Amol Takalkar is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 888 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (330 citations), Pulmonary and Respiratory Medicine (272 citations) and Otorhinolaryngology (30 citations). Amol Takalkar has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include David L. Lilien, Abass Alavi, Hongming Zhuang, Klaus Ley, Joshua J. Rychak, Jonathan R. Lindner, Alexander L. Klibanov, Jian Q. Yu, Alok R. Khandelwal and Rakesh Kumar. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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