Avtar Singh

580 total citations
66 papers, 388 citations indexed

About

Avtar Singh is a scholar working on Agronomy and Crop Science, Genetics and Information Systems. According to data from OpenAlex, Avtar Singh has authored 66 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Agronomy and Crop Science, 26 papers in Genetics and 11 papers in Information Systems. Recurrent topics in Avtar Singh's work include Genetic and phenotypic traits in livestock (25 papers), Livestock Management and Performance Improvement (21 papers) and Cloud Computing and Resource Management (10 papers). Avtar Singh is often cited by papers focused on Genetic and phenotypic traits in livestock (25 papers), Livestock Management and Performance Improvement (21 papers) and Cloud Computing and Resource Management (10 papers). Avtar Singh collaborates with scholars based in India, United States and United Kingdom. Avtar Singh's co-authors include B. S. Gill, Devinder Kaur, A.S. Grewal, R. S. Brar, Kamlesh Dutta, Lachhman Das Singla, G.C. Bansal, Avtar Singh, S. Srinivasan and A. K. Chakravarty and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Avtar Singh

55 papers receiving 340 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Avtar Singh India 10 139 116 93 84 61 66 388
Jay Prakash Gupta India 11 115 0.8× 63 0.5× 90 1.0× 91 1.1× 59 1.0× 60 511
Ghulam Muhammad Pakistan 12 132 0.9× 115 1.0× 18 0.2× 45 0.5× 97 1.6× 34 505
S. Vairamuthu India 11 68 0.5× 38 0.3× 36 0.4× 61 0.7× 89 1.5× 119 555
Andreas Fröhlich Germany 16 103 0.7× 88 0.8× 22 0.2× 119 1.4× 92 1.5× 37 576
Mark A. Goodwin United States 20 289 2.1× 77 0.7× 128 1.4× 64 0.8× 324 5.3× 53 955
Nicolas Wieseke Germany 13 52 0.4× 98 0.8× 149 1.6× 12 0.1× 131 2.1× 23 568
Aman Kumar India 14 38 0.3× 164 1.4× 107 1.2× 187 2.2× 148 2.4× 74 558
Dan Heller Israel 15 21 0.2× 40 0.3× 92 1.0× 62 0.7× 83 1.4× 32 761
Mariska van der Voort Netherlands 15 183 1.3× 39 0.3× 123 1.3× 153 1.8× 43 0.7× 36 857
Jamie M. Butler United States 12 365 2.6× 45 0.4× 15 0.2× 7 0.1× 164 2.7× 16 624

Countries citing papers authored by Avtar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Avtar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avtar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Avtar Singh. A scholar is included among the top collaborators of Avtar 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 Avtar Singh. Avtar 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
1.
Singh, Avtar, et al.. (2025). A Hybrid Scheduling for Multi-Objective Optimization using Prediction Approach. Journal of Grid Computing. 23(3).
2.
Singh, Avtar, et al.. (2024). Machine learning-centric prediction and decision based resource management in cloud computing environments. Cluster Computing. 28(2). 3 indexed citations
3.
Singh, Avtar, et al.. (2023). Enhanced Driver Drowsiness Detection using Deep Learning. SHILAP Revista de lepidopterología. 54. 1011–1011. 4 indexed citations
4.
Haghighi, Marzieh, Mário Costa Cruz, Erin Weisbart, et al.. (2023). Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images. 4775–4784. 1 indexed citations
5.
Singh, Manvendra, et al.. (2016). Genetic parameters of 305 days and monthly test-day milk yields in Murrah buffaloes. The Indian Journal of Animal Sciences. 86(1). 8 indexed citations
6.
Kumaresan, A., et al.. (2016). Micro Mineral Concentration in Soil, Plant and Dairy Cattle in Andaman Group of Islands. Indian Journal of Animal Nutrition. 33(4). 394–394.
7.
Singh, Ajay Kumar, et al.. (2016). Estimation of genetic parameters of first lactation 305-day and monthly test-day milk yields in Karan Fries cattle. The Indian Journal of Animal Sciences. 86(4).
8.
Gupta, Ashok Kumar, et al.. (2015). Analysis of lactation specific demographic parameters and effect of involuntary culling and mortality on lifetime performance in Karan Fries cows. Indian Journal of Dairy Science. 69(1). 71–75. 1 indexed citations
9.
Singh, Rajbir, et al.. (2013). STUDY OF VARIOUS PERFORMANCE TRAITS IN RATHI CATTLE. Indian Journal of Animal Research. 47(4). 321–326. 1 indexed citations
10.
Gandhi, R. S., et al.. (2013). INFLUENCE OF NON-GENETIC FACTORS ON FORTNIGHTLY TEST DAY MILK YIELDS AND FIRST LACTATION 305-DAY MILK YIELD IN SAHIWAL CATTLE. Indian Journal of Animal Research. 47(2). 181–183. 3 indexed citations
11.
Singh, Avtar, et al.. (2013). Effect of fenceline feeding on the behaviour and performance of lactating crossbred cows. Indian Journal of Animal Research. 47(5). 439–442. 1 indexed citations
12.
Gandhi, R. S., et al.. (2012). Growth Rates and Growth Curve in Sahiwal Cattle. Indian Journal of Dairy Science. 65(4). 3 indexed citations
13.
Gandhi, R. S., et al.. (2012). Prediction of First Lactation 305-day Milk Yield Based on Monthly Test Day Records Using Artificial Neural Networks in Sahiwal Cattle. Indian Journal of Dairy Science. 65(3). 5 indexed citations
14.
Singh, Avtar, et al.. (2008). Prediction of 30S-day milk yield based on test- day values in Murrah buffaloes. The Indian Journal of Animal Sciences. 78(10). 1 indexed citations
15.
Haile, Aynalem, et al.. (2008). Genetic evaluation of Ethiopian Boran cattle and their crosses with Holstein Friesian for milk constituent traits in central Ethiopia. Journal of Cell and Animal Biology. 2(10). 171–176. 8 indexed citations
16.
Joshi, B. K., Avtar Singh, & Swarupananda Mukherjee. (2005). Genetic improvement of indigenous cattle for milk and draught: A review. The Indian Journal of Animal Sciences. 75(3). 5 indexed citations
17.
Singh, Avtar, Lachhman Das Singla, & Avtar Singh. (2000). A study on the effects of macroclimatic factors on the seasonal population dynamics of Boophilus microplus (Canes, 1888) infesting the crossbred cattle of Ludhiana district.. 15(1). 29–31. 20 indexed citations
18.
Grewal, A.S., et al.. (1998). Haematological and biochemical studies on experimental Theileria annulata infection in crossbred calves. Veterinary Research Communications. 22(5). 347–354. 66 indexed citations
19.
Gandhi, R. S. & Avtar Singh. (1997). A conceptual model for production and evaluation of Sahiwal bulls in associated herd system using embryo transfer. The Indian Journal of Animal Sciences. 67(12). 1091–1093. 1 indexed citations
20.
Singh, Avtar, et al.. (1996). Biochemical Changes During Ensiling of Wilted Lucerne with Inoculation of Lactic Acid Bacteria and Molasses. Indian Journal of Animal Nutrition. 13(2). 77–82. 2 indexed citations

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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