Pritpal Singh

2.3k total citations
172 papers, 1.7k citations indexed

About

Pritpal Singh is a scholar working on Plant Science, Electrical and Electronic Engineering and Soil Science. According to data from OpenAlex, Pritpal Singh has authored 172 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Plant Science, 39 papers in Electrical and Electronic Engineering and 20 papers in Soil Science. Recurrent topics in Pritpal Singh's work include Genetics and Plant Breeding (19 papers), Microgrid Control and Optimization (13 papers) and Rice Cultivation and Yield Improvement (12 papers). Pritpal Singh is often cited by papers focused on Genetics and Plant Breeding (19 papers), Microgrid Control and Optimization (13 papers) and Rice Cultivation and Yield Improvement (12 papers). Pritpal Singh collaborates with scholars based in India, United States and United Kingdom. Pritpal Singh's co-authors include Mahmoud Kabalan, Dagmar Niebur, Dinesh K. Benbi, Sandeep Kaushal, Deepak Kukkar, Preeti Kukkar, Ki‐Hyun Kim, Manmeet Pal Singh, Jeewan Sharma and Sanjeev Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Current Biology.

In The Last Decade

Pritpal Singh

150 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pritpal Singh India	21	542	334	312	260	233	172	1.7k
Dejun Wang China	27	1.2k 2.2×	81 0.2×	248 0.8×	1.0k 4.0×	91 0.4×	98	2.3k
Jianhua Ji China	20	761 1.4×	55 0.2×	148 0.5×	505 1.9×	237 1.0×	179	2.0k
Yanzi Wang China	19	354 0.7×	33 0.1×	105 0.3×	178 0.7×	144 0.6×	59	1.1k
Guanhong Chen China	25	729 1.3×	34 0.1×	477 1.5×	246 0.9×	159 0.7×	104	1.9k
Yongxing Chen China	29	127 0.2×	72 0.2×	852 2.7×	176 0.7×	31 0.1×	141	3.1k
Luis Manuel Navas-Gracia Spain	20	125 0.2×	42 0.1×	400 1.3×	145 0.6×	55 0.2×	96	1.5k
Haijing Zhang China	22	294 0.5×	38 0.1×	94 0.3×	340 1.3×	61 0.3×	105	1.2k
Omaima Nasif Saudi Arabia	25	186 0.3×	37 0.1×	300 1.0×	308 1.2×	55 0.2×	54	1.4k
Shuang Wang China	22	260 0.5×	37 0.1×	43 0.1×	336 1.3×	38 0.2×	61	1.7k
Hanping Mao China	34	812 1.5×	43 0.1×	575 1.8×	914 3.5×	64 0.3×	135	3.4k

Countries citing papers authored by Pritpal Singh

Since Specialization

Citations

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

Fields of papers citing papers by Pritpal Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritpal Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Pritpal Singh. A scholar is included among the top collaborators of Pritpal 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 Pritpal Singh. Pritpal Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Singh, Pritpal, et al.. (2024). Game on: Exploring the impact of gamified features on travel app continuance intention. Multidisciplinary Science Journal. 7(1). 2025056–2025056.

Singh, Avtar, Pritpal Singh, & Monika Mahajan. (2023). Net Primary Production, Biochemical Composition and Economics of Sugarcane (Saccharum officinarum) Cultivation in Saline and Non-saline Soils of South-Western Punjab, India. International Journal of Plant Production. 17(3). 557–577. 1 indexed citations

Mandal, Agniva, A. S. Toor, S. S. Dhaliwal, et al.. (2022). Long-Term Field and Horticultural Crops Intensification in Semiarid Regions Influence the Soil Physiobiochemical Properties and Nutrients Status. Agronomy. 12(5). 1010–1010. 8 indexed citations

Dhillon, G. P. S., et al.. (2022). Eucalyptus clones respond differentially for heavy-metals phytoextraction and carbon sequestration in tree biomass and soil with distillery effluents irrigation in north-western India. Proceedings of the Indian National Science Academy. 89(1). 77–100. 6 indexed citations

Lore, Jagjeet Singh, et al.. (2021). Quantification of yield losses with relation to sheath blight development at different growth stages in mega rice varieties of South Asia. Journal of Phytopathology. 169(7-8). 500–507. 2 indexed citations

Sandhu, Surinder, et al.. (2020). Selection indices for enhanced selection efficiency in Indian mustard under terminal heat stress conditions. Indian Journal of Genetics and Plant Breeding (The). 80(1). 2 indexed citations

Singh, Pritpal, et al.. (2019). A study to access factors affecting agripreneurship in diversified utilization of potato crop in state of Punjab and Himachal Pradesh.. PLANT ARCHIVES. 19(2). 2335–2342. 3 indexed citations

Singla, R. K., et al.. (2014). Error reduction in promoted confidence factor of a rule using improved fuzzy rule promotion technique. Cybernetics and Information Technologies. 14(1). 72–83. 3 indexed citations

Sidhu, A. S., et al.. (2014). Herbicidal control of problematic weeds in wheat. Indian Journal of Weed Science. 46(4). 326–329. 1 indexed citations

10.

Chandra, Subhash, et al.. (2012). Factors associated with economic motivation of legume growers in desert area of Rajasthan. Journal of Food Legumes. 25(4). 326–329. 2 indexed citations

11.

Singh, Pritpal, et al.. (2011). Analysis of association among different morphological traits in fodder barley. Range Management and Agroforestry. 32(2). 92–95. 1 indexed citations

12.

Singh, Pritpal, et al.. (2010). Phosphorus Supplying Capacity of Pressmud-amended Recent Floodplain Soils under Different Moisture Regimes. Journal of the Indian Society of Soil Science. 58(2). 168–181. 10 indexed citations

13.

Singh, Pritpal, et al.. (2010). Assessment of Phenotypic Divergence in a Collection of Sesame (Sesamum Indicum L.) Germplasm. Crop improvement. 37(2). 140–148. 1 indexed citations

14.

Singh, Pritpal, et al.. (2008). Genetic diversity among rice varieties cultivated in Punjab. ORYZA- An International Journal on Rice. 45(4). 277–279. 7 indexed citations

15.

Singh, Johar, et al.. (2007). Genetic Diversity Analysis in Grain Cowpea Over Environments. Crop improvement. 34(2). 175–178. 1 indexed citations

16.

Singh, Pritpal, et al.. (2007). Release pattern of sulphur from sulphitation pressmud amended Sub-tropical recent floodplain soils. Journal of research. 44(1). 28–34. 1 indexed citations

17.

Singh, Sarvjeet, et al.. (2007). Combining Ability for Grain Yield and its Components in Barley (Hordeum Vulgare L.). Crop improvement. 34(2). 128–132. 9 indexed citations

18.

Singh, Pritpal, et al.. (2007). Fertility status of soils of the recent floodplains of Punjab. Journal of research. 44(3). 199–205. 1 indexed citations

19.

Singh, Inderjit, Pritpal Singh, & J. S. Sandhu. (2007). Genetic Divergence and Association Studies in Field Pea (Pisum Sativum L.). Crop improvement. 34(2). 179–182. 3 indexed citations

20.

Singh, Inderjit, et al.. (2005). Genetic Analysis of Hardseededness in Mungbean (Vigna Radiata L. Wilzeck). Crop improvement. 32(2). 170–172.

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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