Mayank Kumar Jain

751 citations
44 papers · 506 · h-index 10

Impact in

  • Neurology top 10%
    • Brain Tumor Detection and Classification
    • Natural Language Processing Techniques
    • Authorship Attribution and Profiling
    • AI in cancer detection
    • Topic Modeling

Papers in

Mayank Kumar Jain

40 papers receiving 476 citations

Peers

Mayank Kumar Jain
Comparison fields: 5 of 96
  • Neurology 73
  • Artificial Intelligence 213
  • Computer Vision and Pattern Recognition 82
  • Transportation 24
  • Health Informatics 4
Replace Atif Rizwan with:
Atif Rizwan South Korea
Eatedal A. Alabdulkreem Saudi Arabia
Anam Nawaz Khan South Korea
Noha Negm Saudi Arabia
Shailender Kumar India
Eiman Tamah Al-Shammari Kuwait
Misbah Ahmad Pakistan
Ariyo Oluwasanmi China
Muhammad Attique Khan Saudi Arabia
Mayank Kumar Jain relative to Atif Rizwan South Korea Atif Rizwan's profile →
Citations per field
00.5×2×2.7×
Atif Rizwan · 1×
Citations per year

Countries citing papers authored by Mayank Kumar Jain

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Kumar Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202299
2
Language Identification and Morphosyntactic Tagging. The Second VarDial Evaluation Campaign.
201871
3 202062
4 201938
5 202026
6 201125
7 202122
8 202318
9 202211
10 202110
11 202110
12 20189
13 20227
14 20207
15 20227
16 20217
17 20236
18 20206
19 20216
20 20205

About Mayank Kumar Jain

Mayank Kumar Jain is a scholar working on Environmental Engineering, Media Technology, Artificial Intelligence, Transportation and Atmospheric Science, having authored 44 papers that have together received 506 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (7 papers), Solar Radiation and Photovoltaics (6 papers), Hydrological Forecasting Using AI (5 papers), Misinformation and Its Impacts (4 papers), Remote Sensing in Agriculture (4 papers), Advanced Image Fusion Techniques (4 papers), Spam and Phishing Detection (4 papers) and Air Quality Monitoring and Forecasting (3 papers). The work is most often cited by research in Neurology (73 citations), Artificial Intelligence (213 citations), Computer Vision and Pattern Recognition (82 citations), Transportation (24 citations) and Health Informatics (4 citations). Mayank Kumar Jain has collaborated with scholars based in Ireland, India and Netherlands. Frequent co-authors include Soumyabrata Dev, Jason Walsh, Alice Othmani, Lokesh Chouhan, Tarek A. AlSkaif, Yogesh Kumar Meena, Dinesh Gopalani, Kevin P. Heaslip, Rajeev Kumar Singh and Lily Elefteriadou. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Geoscience and Remote Sensing, Multimedia Tools and Applications, Remote Sensing Applications Society and Environment and HardwareX.

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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