Sudhakar Singh

794 citations
60 papers · 330 · h-index 9

Impact in

    • Data Mining Algorithms and Applications
    • Cloud Computing and Resource Management
    • Sugarcane Cultivation and Processing
    • Rice Cultivation and Yield Improvement
    • Genetics and Plant Breeding

Papers in

Sudhakar Singh

51 papers receiving 293 citations

Peers

Sudhakar Singh
Comparison fields: 5 of 92
  • Information Systems 79
  • Plant Science 100
  • Agronomy and Crop Science 24
  • Health Information Management 10
  • Artificial Intelligence 73
Replace M. Dhivya with:
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Citations per field
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Citations per year

Countries citing papers authored by Sudhakar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sudhakar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201750
2 198727
3 201122
4 202319
5 201518
6 202214
7 200514
8 202411
9
Application of Particle Swarm Optimization
201211
10 20228
11 20247
12
Influence of nitrogen doses on growth and green pod yield parameters of French bean varieties during kharif season under subtropical area of Jammu Region.
20097
13 20207
14 20147
15
Effect of calotropis (Calotropis procera) extract on infestation of termite (Odontotermes obesus) in sugarcane hybrid
20026
16 20006
17 20235
18
Mining Association Rules in Various Computing Environments: A Survey
20165
19 19825
20 20195

About Sudhakar Singh

Sudhakar Singh is a scholar working on Plant Science, Artificial Intelligence, Information Systems, Agronomy and Crop Science and Soil Science, having authored 60 papers that have together received 330 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Rice Cultivation and Yield Improvement (7 papers), Sugarcane Cultivation and Processing (7 papers), Crop Yield and Soil Fertility (6 papers), Agricultural Science and Fertilization (6 papers), Artificial Intelligence in Healthcare (5 papers), Genetics and Plant Breeding (4 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Information Systems (79 citations), Plant Science (100 citations), Agronomy and Crop Science (24 citations), Health Information Management (10 citations) and Artificial Intelligence (73 citations). Sudhakar Singh has collaborated with scholars based in India, United Kingdom and Ethiopia. Frequent co-authors include Pramod Kumar Mishra, Rakhi Garg, Shiv Prakash, Shabana Urooj, Richa Mishra, Nirbhow Jap Singh, Ankita Singh, Rajvir Singh, Ashok Kumar Verma and Santosh Kumar Upadhyay. Their work appears in journals such as Wireless Personal Communications, The Journal of Agricultural Science, Nature, Frontiers in Neurology and Computers & Electrical Engineering.

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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