Ankit Bansal

1.3k citations
71 papers · 763 · h-index 16

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Plant Disease Management Techniques
    • Date Palm Research Studies

Papers in

Ankit Bansal

59 papers receiving 710 citations

Peers

Ankit Bansal
Comparison fields: 5 of 122
  • Analytical Chemistry 69
  • Plant Science 245
  • Management Information Systems 53
  • Management Science and Operations Research 65
  • Health Informatics 6
Replace Anupam Baliyan with:
Anupam Baliyan India
Ali Tufail Brunei
Guna Sekhar Sajja United States
Mashael Khayyat Saudi Arabia
Milon Biswas Bangladesh
Rishabh Sharma India
Marwan Ali Albahar Saudi Arabia
Prashant Johri India
Sathian Dananjayan India
Shuangyuan Yang China
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Citations per field
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Anupam Baliyan · 1×
Citations per year

Countries citing papers authored by Ankit Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202367
2 202262
3 202258
4 202252
5 202252
6 202351
7 202349
8 202228
9 201327
10 201422
11 202221
12 202118
13 202316
14 201416
15 202315
16 202315
17 202314
18
Serum adenosine deaminase in pulmonary tuberculosis, malignancy and non-tubercular respiratory diseases.
199214
19 198411
20 202210

About Ankit Bansal

Ankit Bansal is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Management Science and Operations Research, Computer Networks and Communications and Management Information Systems, having authored 71 papers that have together received 763 indexed citations. Recurring topics across this work include Smart Agriculture and AI (18 papers), Spectroscopy and Chemometric Analyses (7 papers), Plant Disease Management Techniques (6 papers), Plant Virus Research Studies (6 papers), IoT and Edge/Fog Computing (4 papers), Date Palm Research Studies (4 papers), Healthcare Operations and Scheduling Optimization (4 papers) and Quality and Supply Management (4 papers). The work is most often cited by research in Analytical Chemistry (69 citations), Plant Science (245 citations), Management Information Systems (53 citations), Management Science and Operations Research (65 citations) and Health Informatics (6 citations). Ankit Bansal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Vinay Kukreja, Rishabh Sharma, Anuj Kumar Jain, Vikrant Sharma, Pravin Kumar, Deepak Kumar, Shiva Mehta, Vikas Solanki, Sunil Gupta and Rajesh Kumar Kaushal. Their work appears in journals such as IISE Transactions, Journal of Medical Systems, International Journal of Services and Operations Management, Naval Research Logistics (NRL) and Engineering Optimization.

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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