Umesh Gupta

244 papers receiving 4.4k citations

Umesh Gupta's Hit Papers

Leaf disease detection using machine learning and deep learning: Review and challenges 2023 · 136 citations
1360+1+2Years since publication4080120

Peers

Umesh Gupta
Comparison fields: 5 of 165
  • Management Information Systems 999
  • Soil Science 1.0k
  • Plant Science 2.1k
  • Pollution 582
  • Geochemistry and Petrology 284
Replace Zhaojun Li with:
Zhaojun Li China
Mahmoud Omid Iran
Xiu‐Bin Wang China
Peter A. Vanrolleghem Belgium
Bhaskar Sen Gupta United Kingdom
Muhammad Naveed Pakistan
David Griffith Australia
Muhammad Ali Raza Pakistan
Charles R. Hurburgh United States
Jianwei Huang Hong Kong
Umesh Gupta relative to Zhaojun Li China Zhaojun Li's profile →
Citations per field
00.5×10×15×18.5×
Zhaojun Li · 1×
Citations per year

Countries citing papers authored by Umesh Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Umesh Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 258 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985321
2
Boron and Its Role in Crop Production
1993273
3 1998260
4 1965244
5 2014169
6 2008146
7
Leaf disease detection using machine learning and deep learning: Review and challenges
Hit paper breakdown →
2023136
8 2000130
9 1967111
10
Trace elements in crop production.
1996100
11 200697
12 201162
13 196855
14 198352
15 201147
16 201547
17 197945
18 199643
19 199442
20 199940

About Umesh Gupta

Umesh Gupta is a scholar working on Plant Science, Management Information Systems, Soil Science, Computer Networks and Communications and Management Science and Operations Research, having authored 258 papers that have together received 5.0k indexed citations. Recurring topics across this work include Plant Micronutrient Interactions and Effects (77 papers), Advanced Queuing Theory Analysis (75 papers), Agricultural Science and Fertilization (49 papers), Probability and Risk Models (26 papers), Network Traffic and Congestion Control (24 papers), Selenium in Biological Systems (22 papers), Wireless Communication Networks Research (18 papers) and Crop Yield and Soil Fertility (15 papers). The work is most often cited by research in Management Information Systems (999 citations), Soil Science (1.0k citations), Plant Science (2.1k citations), Pollution (582 citations) and Geochemistry and Petrology (284 citations). Umesh Gupta has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Gupta Sc, M. L. Chaudhry, M. Schnitzer, Deepak Gupta, John Macleod, K. A. Winter, A.J. Leyshon, C. A. Campbell, W. Nicholaichuk and Y.W. Jame. Their work appears in journals such as Canadian Journal of Soil Science, Soil Science Society of America Journal, Soil Science, Plant and Soil and Performance Evaluation.

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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