Kanish Shah

570 citations
6 papers · 363 indexed · 1 hit paper · h-index 3
Topics
Air Quality and Health Impacts (2 papers)Air Quality Monitoring and Forecasting (2 papers)Vehicle emissions and performance (2 papers)
Journals
Multimedia Tools and ApplicationsPetroleum ResearchEnvironmental Chemistry and Ecotoxicology
Partner nations
IndiaUnited States

In The Last Decade

Kanish Shah

6 papers receiving 348 citations

Hit Papers

A Comparative Analysis of Logistic Regression, Random For...20202026202220242020100200300

Peers

Kanish Shah
Comparison fields: 5 of 99
  • Artificial Intelligence 192
  • Information Systems 85
  • Computer Networks and Communications 35
  • Electrical and Electronic Engineering 23
  • Signal Processing 22
Replace Purvi Prajapati with:
Purvi Prajapati India
Muhammad Zulqarnain Pakistan
Shamimul Qamar Saudi Arabia
Mohammed Abdullah Al-Hagery Saudi Arabia
Mohammad Asadpour Iran
Indika Wickramasinghe United States
Elviawaty Muisa Zamzami Indonesia
Shabana Ramzan Pakistan
Kiran Rama India
Md. Kowsher Bangladesh
Kanish Shah relative to Purvi Prajapati India Purvi Prajapati's profile →
Citations per field
00.5×1.5×
Purvi Prajapati · 1×
Citations per year

Countries citing papers authored by Kanish Shah

Since Specialization
Citations

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

Fields of papers citing papers by Kanish Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanish Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Kanish Shah. A scholar is included among the top collaborators of Kanish 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 Kanish Shah. Kanish Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
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A Comparative Analysis of Logistic Regression, Random Forest and KNN Models for the Text Classificationbreakdown →
352

About Kanish Shah

Kanish Shah is a scholar working on Environmental Engineering, Automotive Engineering and Health, Toxicology and Mutagenesis, having authored 6 papers that have together received 363 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Artificial Intelligence (192 citations), Information Systems (85 citations) and Health Information Management (13 citations). Kanish Shah has collaborated with scholars based in India and United States. Frequent co-authors include Manan Shah, Mitul Prajapati, Sagar A. Patel, Tanay M. Desai, K. A. Desai, Aalap Doshi, Manan Shah and Samir Patel. Their work appears in journals such as Multimedia Tools and Applications, Petroleum Research and Environmental Chemistry and Ecotoxicology.

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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