S. S. Sidhu

422 total citations
24 papers, 325 citations indexed

About

S. S. Sidhu is a scholar working on Plant Science, Statistics and Probability and Ecology. According to data from OpenAlex, S. S. Sidhu has authored 24 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Statistics and Probability and 6 papers in Ecology. Recurrent topics in S. S. Sidhu's work include Survey Sampling and Estimation Techniques (7 papers), Remote Sensing in Agriculture (6 papers) and Plant Micronutrient Interactions and Effects (3 papers). S. S. Sidhu is often cited by papers focused on Survey Sampling and Estimation Techniques (7 papers), Remote Sensing in Agriculture (6 papers) and Plant Micronutrient Interactions and Effects (3 papers). S. S. Sidhu collaborates with scholars based in India, United States and Canada. S. S. Sidhu's co-authors include Gurpal S. Toor, Asim Biswas, Kamaljit Banger, R. S. Narang, R. Sikka, V. K. Nayyar, A.S. Grewal, G. S. Dhaliwal, Annu Nanda and Housila P. Singh and has published in prestigious journals such as International Journal of Remote Sensing, Environmental Monitoring and Assessment and Animal Reproduction Science.

In The Last Decade

S. S. Sidhu

21 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. S. Sidhu India	9	125	98	95	53	50	24	325
Walid Horrigue France	11	229 1.8×	314 3.2×	155 1.6×	17 0.3×	21 0.4×	17	534
K. Fleming United States	6	133 1.1×	118 1.2×	147 1.5×	62 1.2×	72 1.4×	10	430
James E. Hook United States	12	149 1.2×	37 0.4×	182 1.9×	41 0.8×	34 0.7×	34	409
Ryan C. Byrnes United States	3	218 1.7×	129 1.3×	80 0.8×	66 1.2×	57 1.1×	3	335
P. W. Tracy United States	9	228 1.8×	77 0.8×	187 2.0×	80 1.5×	64 1.3×	15	414
S. E. Petrie United States	11	156 1.2×	38 0.4×	177 1.9×	74 1.4×	43 0.9×	18	338
G. Mac Bean United States	8	185 1.5×	98 1.0×	111 1.2×	91 1.7×	69 1.4×	10	330
Juan J. Almaraz Mexico	8	151 1.2×	75 0.8×	153 1.6×	75 1.4×	61 1.2×	15	380
Hanyin Sun Germany	7	201 1.6×	120 1.2×	86 0.9×	26 0.5×	21 0.4×	8	328
Emily C. Cooledge United Kingdom	5	186 1.5×	130 1.3×	52 0.5×	42 0.8×	63 1.3×	10	293

Countries citing papers authored by S. S. Sidhu

Since Specialization

Citations

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

Fields of papers citing papers by S. S. Sidhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Sidhu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sidhu, S. S., et al.. (2019). Effects of Planting Date and Irrigation on Yield and Grade in Runner-type Peanut Cultivars in North Florida. Peanut Science. 46(2). 191–197. 2 indexed citations

Sidhu, S. S., et al.. (2015). An extension of Franklin's randomized response technique for multi-proportions. Communication in Statistics- Theory and Methods. 45(16). 4637–4662.

Sidhu, S. S., et al.. (2014). On estimation of totals of multi-sensitive-characteristics using forced quantitative randomized responses. Model Assisted Statistics and Applications. 9(1). 89–96. 1 indexed citations

Kumar, Dinesh & S. S. Sidhu. (2013). RESPONSE OF SOYBEAN TO SOIL APPLIED SULFUR AND BORON IN A CALCAREOUS SOIL. Journal of Plant Nutrition. 36(11). 1795–1807. 7 indexed citations

Sidhu, S. S., et al.. (2012). Lead and cadmium-induced toxicity in germination and seedling growth of Brassica napus (L).. Indian Journal of Agricultural Research. 46(3). 269–274. 1 indexed citations

Dhaliwal, S. S., et al.. (2010). Sequential extraction and chemical fractions of Zn and Cu as influenced by manures and fertilizers under long term rice-wheat cropping system in northwest India.. 28. 2600–2608.

Banger, Kamaljit, et al.. (2009). Soil organic carbon fractions after 16-years of applications of fertilizers and organic manure in a Typic Rhodalfs in semi-arid tropics. Nutrient Cycling in Agroecosystems. 86(3). 391–399. 127 indexed citations

Sidhu, S. S., et al.. (2008). Estimator of population total using RAO, Hartley and Cochran's scheme using optional randomized response technique in multi-character surveys. Model Assisted Statistics and Applications. 3(3). 259–267. 10 indexed citations

Sikka, R., V. K. Nayyar, & S. S. Sidhu. (2008). Monitoring of Cd pollution in soils and plants irrigated with untreated sewage water in some industrialized cities of Punjab, India. Environmental Monitoring and Assessment. 154(1-4). 53–64. 19 indexed citations

10.

Sidhu, S. S., et al.. (2007). ESTIMATION OF SENSITIVE MULTI- CHARACTERS USING UNKNOWN VALUE OF UNRELATED QUESTION. 3 indexed citations

11.

Singh, Housila P., S. S. Sidhu, & Sarjinder Singh. (2006). Median Estimation with Known Interquartile Range of Auxiliary Variable. International Journal of Applied Mathematics & Statistics. 4. 68–80. 11 indexed citations

12.

Sidhu, S. S., et al.. (2006). Population mean estimator corresponding to Horvitz – Thompson's estimator for multi-characteristics using randomised response technique. Model Assisted Statistics and Applications. 1(4). 215–220. 19 indexed citations

13.

Sharma, Priya, et al.. (2006). Pre-harvest wheat yield prediction using agromet-spectral-trend-yield models for hoshiarpur and rupnagar districts of punjab. Journal of the Indian Society of Remote Sensing. 34(3). 269–277. 5 indexed citations

14.

Sidhu, S. S., et al.. (2000). Effectiveness of lipopolysaccharide as an intrauterine immunomodulator in curing bacterial endometritis in repeat breeding cross-bred cows. Animal Reproduction Science. 59(3-4). 159–166. 30 indexed citations

15.

Sidhu, S. S., et al.. (1999). Cotton yield prediction through spectral parameters. Journal of the Indian Society of Remote Sensing. 27(4). 185–192. 3 indexed citations

16.

Dubey, Rachana, et al.. (1994). Pre-harvest wheat yield and production estimation for the Punjab, India. International Journal of Remote Sensing. 15(10). 2137–2144. 19 indexed citations

17.

Sidhu, S. S., et al.. (1991). The Use of Remote Sensing to Assess the Effects of Water Stress on Wheat. Experimental Agriculture. 27(4). 423–429. 26 indexed citations

18.

Sidhu, S. S., et al.. (1990). Assessment of spectral response of maize to varying nitrogen levels.. Indian Journal of Agronomy. 35. 153–158. 3 indexed citations

19.

Feng, Jiayin, et al.. (1989). Hexazinone residues and dissipation in soil leachates. Journal of Environmental Science and Health Part B. 24(2). 131–143. 8 indexed citations

20.

Sidhu, S. S., et al.. (1983). Effect of rainfall and temperature on the mustard aphid, Lipaphis erysimi (Kaltenbach).. Indian Journal of Entomology. 45(2). 202–205. 8 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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