Rajesh Kumar Pathak

2.0k citations
64 papers · 926 · 1 hit paper · h-index 18

Impact in

Papers in

Rajesh Kumar Pathak

56 papers receiving 906 citations

Rajesh Kumar Pathak's Hit Papers

Human activity recognition in artificial intelligence framework: a narrative review 2022 · 183 citations
1830+1+2Years since publication50100150

Peers

Rajesh Kumar Pathak
Comparison fields: 5 of 131
  • Plant Science 260
  • Computer Vision and Pattern Recognition 112
  • Biochemistry 29
  • Agronomy and Crop Science 44
  • Pharmacology 32
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Citations per year

Countries citing papers authored by Rajesh Kumar Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Kumar Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajesh Kumar Pathak. 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 Rajesh Kumar Pathak. The network helps show where Rajesh Kumar Pathak may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human activity recognition in artificial intelligence framework: a narrative review
Hit paper breakdown →
2022183
2 201560
3 201848
4 201733
5 202233
6 201331
7 202228
8 201527
9 202226
10 201723
11 202223
12 202422
13 201721
14 200620
15 202119
16 202419
17 201419
18 202218
19 199417
20 201816

About Rajesh Kumar Pathak

Rajesh Kumar Pathak is a scholar working on Plant Science, Molecular Biology, Materials Chemistry, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics, having authored 64 papers that have together received 926 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (7 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Computational Drug Discovery Methods (6 papers), Fungal Plant Pathogen Control (5 papers), Semiconductor materials and interfaces (4 papers), Quantum Dots Synthesis And Properties (4 papers), GABA and Rice Research (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Plant Science (260 citations), Computer Vision and Pattern Recognition (112 citations), Biochemistry (29 citations), Agronomy and Crop Science (44 citations) and Pharmacology (32 citations). Rajesh Kumar Pathak has collaborated with scholars based in India, South Korea and Spain. Frequent co-authors include Mamta Baunthiyal, Jun‐Mo Kim, Anil Kumar, Dinesh Pandey, Neha Gupta, Vanita Jain, Jasjit S. Suri, Suneet Gupta, Parisa Rashidi and Rohit Shukla. Their work appears in journals such as Journal of Biological Engineering, Frontiers in Veterinary Science, Scientific Reports, Environmental Pollution and Journal of Plant Growth Regulation.

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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