Ruchi Doshi

1.0k citations
55 papers · 668 · h-index 15

Impact in

Papers in

Journals
Array (1 paper)IEEE Sensors Journal (1 paper)Advances in intelligent systems and computing (2 papers)Lecture notes in mechanical engineering (1 paper)International Journal on Recent and Innovation Trends in Computing and Communication (1 paper)
Partner nations
IndiaIraqDenmark

In The Last Decade

Ruchi Doshi

52 papers receiving 638 citations

Peers

Ruchi Doshi
Comparison fields: 5 of 109
  • Health Informatics 78
  • Information Systems 174
  • Computer Science Applications 39
  • Neurology 45
  • Computer Networks and Communications 129
Replace Tanjim Mahmud with:
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Mahmoud Elkhodr Australia
Nancy Victor India
Mohammad Shamsul Arefin Bangladesh
Mohammad Shahadat Hossain Bangladesh
Xiaoyuan Yi China
Shubham Joshi India
Ahed Abugabah United Arab Emirates
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Citations per field
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Citations per year

Countries citing papers authored by Ruchi Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Ruchi Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ruchi Doshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ruchi Doshi Line = papers co-authored together Ruchi Doshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202375
2 202369
3 202240
4 202231
5 202228
6 202221
7 202221
8 202320
9 202119
10 202219
11 202318
12 202318
13
Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)
202117
14 202116
15 202414
16 201414
17 202212
18 202212
19 202111
20 202211

About Ruchi Doshi

Ruchi Doshi is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 55 papers that have together received 668 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Blockchain Technology Applications and Security (7 papers), Cloud Computing and Resource Management (6 papers), Brain Tumor Detection and Classification (5 papers), COVID-19 diagnosis using AI (5 papers), Advanced Neural Network Applications (3 papers), Big Data and Business Intelligence (3 papers) and Digital Transformation in Industry (3 papers). The work is most often cited by research in Health Informatics (78 citations), Information Systems (174 citations), Computer Science Applications (39 citations), Neurology (45 citations) and Computer Networks and Communications (129 citations). Ruchi Doshi has collaborated with scholars based in India, Iraq and Denmark. Frequent co-authors include Maad M. Mıjwıl, Kamal Kant Hiran, Kamal Kant Hiran, Indu Bala, Kamal Kant Hiran, Manish Dadhich, Abdel‐Hameed Al‐Mistarehi, Narendra Khatri, Karan Aggarwal and Kamlesh Lakhwani. Their work appears in journals such as Array, IEEE Sensors Journal, Advances in intelligent systems and computing, Lecture notes in mechanical engineering and International Journal on Recent and Innovation Trends in Computing and Communication.

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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