L. Dvash

883 total citations
30 papers, 736 citations indexed

About

L. Dvash is a scholar working on Agronomy and Crop Science, Ecology and Plant Science. According to data from OpenAlex, L. Dvash has authored 30 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 8 papers in Ecology and 8 papers in Plant Science. Recurrent topics in L. Dvash's work include Ruminant Nutrition and Digestive Physiology (21 papers), Genetic and phenotypic traits in livestock (7 papers) and Spectroscopy and Chemometric Analyses (5 papers). L. Dvash is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (21 papers), Genetic and phenotypic traits in livestock (7 papers) and Spectroscopy and Chemometric Analyses (5 papers). L. Dvash collaborates with scholars based in Israel, United States and Italy. L. Dvash's co-authors include S. Landau, Tzach Glasser, Eugene D. Ungar, H. Muklada, Avi Perevolotsky, John W. Walker, D. Barkai, Y. Yehuda, D. Kababya and Hillary Voet and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Animal Science and Remote Sensing.

In The Last Decade

L. Dvash

30 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Dvash Israel 18 317 181 167 158 144 30 736
I. Hadjigeorgiou Greece 18 290 0.9× 177 1.0× 150 0.9× 230 1.5× 156 1.1× 52 863
Daalkhaijav Damiran Canada 17 487 1.5× 127 0.7× 161 1.0× 141 0.9× 168 1.2× 83 767
M. Sitzia Italy 15 575 1.8× 191 1.1× 208 1.2× 193 1.2× 214 1.5× 47 928
H. Muklada Israel 15 214 0.7× 111 0.6× 108 0.6× 136 0.9× 116 0.8× 33 607
S.O. Hoskin New Zealand 16 559 1.8× 248 1.4× 73 0.4× 246 1.6× 106 0.7× 31 874
C. Demarquilly France 18 813 2.6× 97 0.5× 219 1.3× 237 1.5× 329 2.3× 76 978
B. McCarthy Ireland 18 586 1.8× 89 0.5× 48 0.3× 199 1.3× 366 2.5× 35 759
James M. Fedders United States 14 365 1.2× 67 0.4× 185 1.1× 98 0.6× 53 0.4× 37 740
J.L. Stewart United States 15 272 0.9× 56 0.3× 229 1.4× 70 0.4× 58 0.4× 66 785
N.H. Casey South Africa 15 409 1.3× 101 0.6× 108 0.6× 580 3.7× 366 2.5× 46 1.1k

Countries citing papers authored by L. Dvash

Since Specialization
Citations

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

Fields of papers citing papers by L. Dvash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Dvash

This figure shows the co-authorship network connecting the top 25 collaborators of L. Dvash. A scholar is included among the top collaborators of L. Dvash 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 L. Dvash. L. Dvash 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.
Landau, S., et al.. (2022). The value of faecal N in monitoring dietary quality in desert ungulates: The Arabian oryx as a model. Journal of Arid Environments. 201. 104750–104750. 2 indexed citations
2.
Landau, S., L. Dvash, Y. Yehuda, et al.. (2017). Impact of animal density on cattle nutrition in dry Mediterranean rangelands: a faecal near-IR spectroscopy-aided study. animal. 12(2). 265–274. 13 indexed citations
3.
4.
Muklada, H., Jaime Kigel, Hillary Voet, et al.. (2016). Targeted grazing of milk thistle (Silybum marianum) and Syrian thistle (Notobasis syriaca) by goats: Preference following preconditioning, generational transfer, and toxicity. Applied Animal Behaviour Science. 179. 53–59. 10 indexed citations
5.
Landau, S., L. Dvash, H. Muklada, et al.. (2015). Faecal near-IR spectroscopy to determine the nutritional value of diets consumed by beef cattle in east Mediterranean rangelands. animal. 10(2). 192–202. 18 indexed citations
6.
Argov-Argaman, Nurit, Tzach Glasser, H. Muklada, et al.. (2015). Milk fat globule size, phospholipid contents and composition of milk from purebred and Alpine-crossbred Mid-Eastern goats under confinement or grazing condition. International Dairy Journal. 58. 2–8. 25 indexed citations
7.
Glazer, I., et al.. (2015). Effects of tannin-rich host plants on the infection and establishment of the entomopathogenic nematode Heterorhabditis bacteriophora. Journal of Invertebrate Pathology. 128. 31–36. 13 indexed citations
8.
Chudnovsky, Alexandra, et al.. (2014). Spectral Slope as an Indicator of Pasture Quality. Remote Sensing. 7(1). 256–274. 17 indexed citations
9.
Markovics, Alex, I. Cohen, H. Muklada, et al.. (2011). Consumption of Pistacia lentiscus foliage alleviates coccidiosis in young goats. Veterinary Parasitology. 186(3-4). 165–169. 29 indexed citations
10.
Henkin, Zalmen, Eugene D. Ungar, L. Dvash, et al.. (2011). Effects of cattle grazing on herbage quality in a herbaceous Mediterranean rangeland. Grass and Forage Science. 66(4). 516–525. 49 indexed citations
11.
Vaknin, Yiftach, et al.. (2011). Predicting Jatropha curcas seed-oil content, oil composition and protein content using near-infrared spectroscopy—A quick and non-destructive method. Industrial Crops and Products. 34(1). 1029–1034. 50 indexed citations
12.
Landau, S., et al.. (2008). Data mining old digestibility trials for nutritional monitoring in confined goats with aids of fecal near infra-red spectrometry. Small Ruminant Research. 77(2-3). 146–158. 34 indexed citations
13.
Glasser, Tzach, S. Landau, Eugene D. Ungar, et al.. (2008). A fecal near-infrared reflectance spectroscopy-aided methodology to determine goat dietary composition in a Mediterranean shrubland1. Journal of Animal Science. 86(6). 1345–1356. 42 indexed citations
14.
Landau, S., et al.. (2006). Excretal Near Infrared Reflectance Spectrometry to monitor the nutrient content of diets of grazing young ostriches ( Struthio camelus ). South African Journal of Animal Science. 36(4). 248–256. 9 indexed citations
15.
Landau, S., D. Barkai, L. Dvash, & A. Brosh. (2006). Energy expenditure in Awassi sheep grazing wheat stubble in the northern Negev Desert of Israel. Livestock Science. 105(1-3). 265–271. 7 indexed citations
16.
Weinberg, Z.G., et al.. (2006). The effects of irrigation and nitrogen fertilization on the ensiling of safflower (Carthamus tinctorius). Animal Feed Science and Technology. 134(1-2). 152–161. 9 indexed citations
17.
Landau, S., Tzach Glasser, & L. Dvash. (2005). Monitoring nutrition in small ruminants with the aid of near infrared reflectance spectroscopy (NIRS) technology: A review. Small Ruminant Research. 61(1). 1–11. 95 indexed citations
18.
Landau, S., Tzach Glasser, H. Muklada, et al.. (2005). Fecal NIRS prediction of dietary protein percentage and in vitro dry matter digestibility in diets ingested by goats in Mediterranean scrubland. Small Ruminant Research. 59(2-3). 251–263. 24 indexed citations
19.
Landau, S., G. Molle, N. Fois, et al.. (2005). Safflower (Carthamus tinctorius L.) as a novel pasture species for dairy sheep in the Mediterranean conditions of Sardinia and Israel. Small Ruminant Research. 59(2-3). 239–249. 34 indexed citations
20.
Landau, S., Tzach Glasser, L. Dvash, & Avi Perevolotsky. (2004). Faecal NIRS to monitor the diet of Mediterranean goats. South African Journal of Animal Science. 34(5). 76–80. 39 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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