Lalit Arya

3.0k total citations · 1 hit paper
69 papers, 2.2k citations indexed

About

Lalit Arya is a scholar working on Plant Science, Genetics and Civil and Structural Engineering. According to data from OpenAlex, Lalit Arya has authored 69 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 27 papers in Genetics and 18 papers in Civil and Structural Engineering. Recurrent topics in Lalit Arya's work include Soil and Unsaturated Flow (18 papers), Advances in Cucurbitaceae Research (17 papers) and Plant Virus Research Studies (12 papers). Lalit Arya is often cited by papers focused on Soil and Unsaturated Flow (18 papers), Advances in Cucurbitaceae Research (17 papers) and Plant Virus Research Studies (12 papers). Lalit Arya collaborates with scholars based in India, United States and Trinidad and Tobago. Lalit Arya's co-authors include Jack F. Paris, Martinus Th. van Genuchten, Peter J. Shouse, Feike J. Leij, Manjusha Verma, Graeme R. Blake, David Farrell, Binayak P. Mohanty, Todd H. Skaggs and P. J. Shouse and has published in prestigious journals such as Water Resources Research, Soil Science Society of America Journal and Gene.

In The Last Decade

Lalit Arya

69 papers receiving 2.0k citations

Hit Papers

A Physicoempirical Model to Predict the Soil Moisture Cha... 1981 2026 1996 2011 1981 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Physicoempirical Model to Predict the Soil Moisture Characteristic from Particle‐Size Distribution and Bulk Density Data
    1981 854 citations Lalit Arya et al. Soil Science Society of America Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lalit Arya India 21 1.4k 1.0k 440 417 377 69 2.2k
P. J. Shouse United States 30 1.2k 0.9× 1.5k 1.5× 812 1.8× 702 1.7× 209 0.6× 67 3.0k
Ryan D. Stewart United States 23 650 0.5× 589 0.6× 841 1.9× 223 0.5× 295 0.8× 115 2.1k
Gernot Bodner Austria 28 764 0.6× 475 0.5× 1.3k 3.0× 1.4k 3.4× 177 0.5× 86 3.0k
Bernard Barthès France 27 341 0.2× 1.0k 1.0× 2.0k 4.5× 394 0.9× 179 0.5× 73 3.2k
A. J. M. Smucker United States 34 1.1k 0.8× 512 0.5× 1.8k 4.1× 1.3k 3.1× 206 0.5× 94 3.5k
Sidney Rosa Vieira Brazil 26 532 0.4× 1.8k 1.7× 1.5k 3.5× 528 1.3× 324 0.9× 101 2.7k
Kálmán Rajkai Hungary 24 597 0.4× 582 0.6× 498 1.1× 462 1.1× 125 0.3× 100 1.8k
Joël Léonard France 21 248 0.2× 146 0.1× 959 2.2× 417 1.0× 81 0.2× 52 1.8k
J. M. Kirby Australia 28 571 0.4× 191 0.2× 718 1.6× 652 1.6× 89 0.2× 99 2.1k
Quirijn de Jong van Lier Brazil 26 966 0.7× 682 0.7× 1.1k 2.4× 615 1.5× 117 0.3× 140 2.1k

Countries citing papers authored by Lalit Arya

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Arya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lalit Arya

This figure shows the co-authorship network connecting the top 25 collaborators of Lalit Arya. A scholar is included among the top collaborators of Lalit Arya 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 Lalit Arya. Lalit Arya 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
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Bhardwaj, Rakesh, Amish Kumar Sureja, A. D. Munshi, et al.. (2023). Harnessing sponge gourd: an alternative source of oil and protein for nutritional security. Frontiers in Nutrition. 10. 1158424–1158424. 2 indexed citations
3.
Sureja, Amish Kumar, Manjusha Verma, S. Krishnan, et al.. (2023). Inheritance and molecular mapping of solitary/cluster fruit-bearing habit in Luffa. Molecular Genetics and Genomics. 298(5). 995–1006. 1 indexed citations
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Ram, Chet, et al.. (2015). Molecular cloning and in silico analysis of DREB-like gene in watermelon. Indian Journal of Horticulture. 72(3). 338–342. 1 indexed citations
7.
Ram, Chet, et al.. (2015). Molecular cloning andin silicoanalysis ofDREB-like gene in watermelon. Indian Journal of Horticulture. 72(3). 338–338. 1 indexed citations
8.
Abdin, Malik Zainul, et al.. (2014). Transferability of Cucumber Microsatellite Markers Used for Phylogenetic Analysis and Population Structure Study in Bottle Gourd (Lagenaria siceraria (Mol.) Standl.). Applied Biochemistry and Biotechnology. 175(4). 2206–2223. 22 indexed citations
9.
Arya, Lalit, et al.. (2014). Population structure and diversity in cultivated and wild Luffa species. Biochemical Systematics and Ecology. 56. 165–170. 11 indexed citations
10.
Arya, Lalit, et al.. (2014). Genetic diversity and population structure analyses of Morinda tomentosa Heyne, with neutral and gene based markers. Genetic Resources and Crop Evolution. 61(8). 1469–1479. 22 indexed citations
11.
Abdin, Malik Zainul, et al.. (2014). Population structure and genetic diversity in bottle gourd [Lagenaria siceraria (Mol.) Standl.] germplasm from India assessed by ISSR markers. Plant Systematics and Evolution. 300(4). 767–773. 27 indexed citations
12.
Arya, Lalit, et al.. (2013). Genetic diversity analysis in Morinda tomentosa collected from Gujarat using RAPD markers.. Indian Journal of Horticulture. 70(4). 580–583. 1 indexed citations
13.
Singh, Amit, et al.. (2013). Assessment of genetic diversity among pearl millet [Pennisetum glaucum (L.) R Br.] cultivars using SSR markers. Range Management and Agroforestry. 34(1). 77–81. 13 indexed citations
14.
Arya, Lalit, et al.. (2013). DPPrimer – A Degenerate PCR Primer Design Tool. Bioinformation. 9(18). 937–940. 5 indexed citations
15.
Verma, Manjusha, et al.. (2012). Genetic diversity of Indian brinjal revealed by RAPD and SSR markers. Indian Journal of Horticulture. 69(4). 517–522. 12 indexed citations
16.
Bains, N. S., et al.. (2010). Genetic diversity and heterosis in wheat.. SABRAO Journal of Breeding and Genetics. 42(2). 96–105. 4 indexed citations
17.
Kumar, Ashwani, Lalit Arya, Vipin Kumar, & Shailendra Sharma. (2006). Inter simple sequence repeat (ISSR) analysis of cytoplasmic male sterile, male fertile lines and hybrids of pearlmillet [Pennisetum glaucum (L.) R.Br.]. 1. 117–119. 10 indexed citations
18.
Gupta, Veena, et al.. (2005). Effect of accelerated ageing on seed vigour in pearlmillet (Pennisetum glaucum) hybrids and their parents. The Indian Journal of Agricultural Sciences. 75(6). 346–347. 3 indexed citations
19.
Arya, Lalit, Feike J. Leij, Martinus Th. van Genuchten, & Peter J. Shouse. (1999). Scaling Parameter to Predict the Soil Water Characteristic from Particle‐Size Distribution Data. Soil Science Society of America Journal. 63(3). 510–519. 208 indexed citations
20.
Arya, Lalit, Feike J. Leij, Peter J. Shouse, & Martinus Th. van Genuchten. (1999). Relationship between the Hydraulic Conductivity Function and the Particle‐Size Distribution. Soil Science Society of America Journal. 63(5). 1063–1070. 147 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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