Jainam Shah

676 citations
34 papers · 327 indexed · h-index 5
Topics
Mobile Ad Hoc Networks (8 papers)Vehicular Ad Hoc Networks (VANETs) (5 papers)Opportunistic and Delay-Tolerant Networks (4 papers)
Journals
SHILAP Revista de lepidopterologíaUrologyNanomedicine
Partner nations
IndiaAustralia

In The Last Decade

Jainam Shah

27 papers receiving 312 citations

Peers

Jainam Shah
Comparison fields: 5 of 69
  • Radiology, Nuclear Medicine and Imaging 203
  • Artificial Intelligence 147
  • Computer Vision and Pattern Recognition 38
  • Health Informatics 38
  • Materials Chemistry 30
Replace Satyabhuwan Singh Netam with:
Satyabhuwan Singh Netam India
Jinyu Cong China
Anabel Gómez-Ríos Spain
Polycarp Shizawaliyi Yakoi China
Hamzeh Asgharnezhad Australia
Yanfei Hong China
Youness Chawki Portugal
Jin Uk Heo United States
Iván Sevillano-García Spain
Shahin Heidarian Canada
Jainam Shah relative to Satyabhuwan Singh Netam India Satyabhuwan Singh Netam's profile →
Citations per field
00.5×1.5×
Satyabhuwan Singh Netam · 1×
Citations per year

Countries citing papers authored by Jainam Shah

Since Specialization
Citations

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

Fields of papers citing papers by Jainam Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jainam Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Jainam Shah. A scholar is included among the top collaborators of Jainam Shah 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 Jainam Shah. Jainam Shah 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 3
3 1
4 1
5 0
6 4
7 1
8 217
9 2
10 5
11 13
12 0
13 1
14 1
15 2
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17 1
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19
Implementing Parallel Data Mining Algorithm on High Performance Data Cloud
3
20 2

About Jainam Shah

Jainam Shah is a scholar working on Health Informatics, Anatomy and Computer Networks and Communications, having authored 34 papers that have together received 327 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (8 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Health Informatics (38 citations), Radiology, Nuclear Medicine and Imaging (203 citations) and Artificial Intelligence (147 citations). Jainam Shah has collaborated with scholars based in India and Australia. Frequent co-authors include Vruddhi Shah, Ninad Mehendale, Alakh N. Sahu, Dhruvil Patel, Sudhir Chandna, Deepak Verma, Beth J. Allison, Lindsay Zhou, Anil K. Malhotra and Peter Gibbs. Their work appears in journals such as SHILAP Revista de lepidopterología, Urology and Nanomedicine.

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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