Rahul Joshi

60 papers receiving 600 citations

Peers

Rahul Joshi
Comparison fields: 5 of 134
  • Software 48
  • Safety, Risk, Reliability and Quality 57
  • Hardware and Architecture 42
  • Computer Networks and Communications 109
  • Health Information Management 19
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Antti Evesti Finland
Salah Bouktif United Arab Emirates
Fahim Arif Pakistan
Preeti Gulia India
P Kumar India
Daniel Sun Australia
Yuan Yuan China
Li Weigang Brazil
Niklas Lavesson Sweden
Gabriel de Oliveira Ramos Brazil
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Rahul Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rahul Joshi, 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 Rahul Joshi Line = papers co-authored together Rahul Joshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Surrogate Safety Assessment Model (SSAM): Software User Manual
200873
2 201555
3 202240
4 202139
5 200438
6 202037
7 200229
8 202027
9
Bibliometric Analysis of One-stage and Two-stage Object Detection
202126
10 202122
11 202120
12 201520
13 200416
14 202214
15 202013
16
Diabetes Analysis And Prediction Using Random Forest, KNN, Naïve Bayes, And J48: An Ensemble Approach
201913
17
Bibliometric Survey on Incremental Clustering Algorithms
201913
18 202210
19 202210
20 201510

About Rahul Joshi

Rahul Joshi is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 70 papers that have together received 652 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Artificial Intelligence in Healthcare (5 papers), Spam and Phishing Detection (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Misinformation and Its Impacts (3 papers), Forecasting Techniques and Applications (3 papers), Water Quality Monitoring Technologies (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Software (48 citations), Safety, Risk, Reliability and Quality (57 citations), Hardware and Architecture (42 citations), Computer Networks and Communications (109 citations) and Health Information Management (19 citations). Rahul Joshi has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include Preeti Mulay, Michael D. Bond, Craig Zilles, Byoung–Kwan Cho, Mohammad Akbar Faqeerzada, Sandeep Dwarkanath Pande, Kakarla Hari Kishore, Jayoung Lee, Anupkumar M. Bongale and Ketan Kotecha. Their work appears in journals such as Data in Brief, Multimedia Tools and Applications, SAE technical papers on CD-ROM/SAE technical paper series, Electronics and IEEE Transactions on Consumer Electronics.

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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