Asheesh K. Singh

8.3k citations
130 papers · 4.9k indexed · 5 hit papers · h-index 35
Topics
Wheat and Barley Genetics and Pathology (35 papers)Genetics and Plant Breeding (31 papers)Soybean genetics and cultivation (23 papers)
Partner nations
United StatesCanadaIndia

In The Last Decade

Asheesh K. Singh

123 papers receiving 4.8k citations

Hit Papers

Machine Learning for High-Throughput Stress Phenotyping i...201520262018202220152018201820192022200400600

Peers

Asheesh K. Singh
Comparison fields: 5 of 141
  • Plant Science 4.1k
  • Ecology 1.0k
  • Analytical Chemistry 740
  • Genetics 720
  • Molecular Biology 397
Replace James C. Schnable with:
James C. Schnable United States
Wanneng Yang China
H. W. Dehne Germany
Arti Singh United States
Xiangming Xu United Kingdom
Andreas Hund Switzerland
Michael A. Gore United States
Jonathan West United Kingdom
Seth C. Murray United States
Christian Klukas Germany
Asheesh K. Singh relative to James C. Schnable United States James C. Schnable's profile →
Citations per field
00.5×1.5×2.0×
James C. Schnable · 1×
Citations per year

Countries citing papers authored by Asheesh K. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Asheesh K. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asheesh K. Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Asheesh K. Singh. A scholar is included among the top collaborators of Asheesh K. Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Asheesh K. Singh. Asheesh K. Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 9
4 4
5 0
6 1
7 36
8 5
9 124
10 6
11 35
12 35
13 40
14 1
15 12
16 39
17 73
18
An explainable deep machine vision framework for plant stress phenotypingbreakdown →
366
19 55
20
Studies on genetic divergence in lablab bean through principal component analysis.
1

About Asheesh K. Singh

Asheesh K. Singh is a scholar working on Plant Science, Agronomy and Crop Science and Horticulture, having authored 130 papers that have together received 4.9k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (35 papers), Genetics and Plant Breeding (31 papers) and Soybean genetics and cultivation (23 papers). The work is most often cited by research in Plant Science (4.1k citations), Analytical Chemistry (740 citations) and Ecology (1.0k citations). Asheesh K. Singh has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Baskar Ganapathysubramanian, Soumik Sarkar, Arti Singh, Jiaoping Zhang, R. E. Knox, Koushik Nagasubramanian, Sambuddha Ghosal, J. M. Clarke, Sarah E. Jones and R. M. DePauw. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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