Abhishek Tripathi

1.8k citations
74 papers · 1.2k indexed · h-index 16

Abhishek Tripathi

65 papers receiving 1.2k citations

Peers

Abhishek Tripathi
Comparison fields: 5 of 151
  • Computer Science Applications 132
  • Food Science 441
  • Biochemistry 97
  • Plant Science 429
  • Communication 72
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Citations per year

Countries citing papers authored by Abhishek Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20243
4 20245
5 20241
6 202216
7
Nanoformulation of cinnamon oil/usnic acid blend: - An attempt to improve chemopreventive effect and reduce hepatotoxicity
20201
8
SMEs In Saudi Arabia - An Innovative Tool for Country’s Economic Growth
201916
9 201925
10
IS/T Leadership: A Comprehensive Review of Published Research
20182
11
Automatic Attendance System Using Facial Recognition
20162
12
Make in India: New Mantra for Economy Growth
20161
13
Examining High Performance Teams in Information Systems Projects
20133
14
A STUDY OF INDIAN CSR PRACTICES IN SMALL AND MEDIUM ENTERPRISES
20131
15
Crowdsourcing: A snapshot of published research
201321
16
Evolution of Corporate Social Responsibility: A Journey from 1700 BC Till 21st Century
20137
17 20120
18 200948
19
Synergistic bio-efficacy of three plant extracts on sporulation of fruit rotting fungi.
20062
20 2006305

About Abhishek Tripathi

Abhishek Tripathi is a scholar working on Computational Mathematics, Computer Science Applications and Cell Biology, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (8 papers), Essential Oils and Antimicrobial Activity (6 papers), Organizational and Employee Performance (4 papers), Open Source Software Innovations (4 papers), Natural Antidiabetic Agents Studies (3 papers), Knowledge Management and Sharing (3 papers), Information Technology Governance and Strategy (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Computer Science Applications (132 citations), Food Science (441 citations) and Biochemistry (97 citations). Abhishek Tripathi has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Neeta Raj Sharma, Arto Klami, Nargess Tahmasbi, Samuel Kaski, Jie Xiong, Onook Oh, Vinay Sharma, Gert‐Jan de Vreede, Sunil Kumar Singh and Saqib Muneer. Their work appears in journals such as Journal of the Association for Information Systems, Sustainability, World Journal of Microbiology and Biotechnology, Biocatalysis and Agricultural Biotechnology and Microbiological Research.

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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