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.
Soil Constraints in an Arid Environment—Challenges, Prospects, and Implications
2023133 citationsAnandkumar Naorem, Somasundaram Jayaraman et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Nishant K. Sinha
Since
Specialization
Citations
This map shows the geographic impact of Nishant K. Sinha'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 Nishant K. Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishant K. Sinha more than expected).
Fields of papers citing papers by Nishant K. Sinha
This network shows the impact of papers produced by Nishant K. Sinha. 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 Nishant K. Sinha. The network helps show where Nishant K. Sinha may publish in the future.
Co-authorship network of co-authors of Nishant K. Sinha
This figure shows the co-authorship network connecting the top 25 collaborators of Nishant K. Sinha.
A scholar is included among the top collaborators of Nishant K. Sinha 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 Nishant K. Sinha. Nishant K. Sinha is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sinha, Nishant K., et al.. (2020). Effect of mulching on growth and quality of tissue culture banana (var. Grand Naine) and soil properties in mid hill jhum lands of Arunachal Pradesh. 22(2). 86–89.1 indexed citations
Kumar, Awanish, et al.. (2017). Effect of conservation tillage on biological activity in soil and crop productivity under rainfed Vertisols of central India. International Journal of Chemical Studies. 5(1). 1939–1946.6 indexed citations
14.
Singh, Rahul, Ashok Kumar, Sharique A. Ali, et al.. (2016). Management of surface cracks in black Vertisols (Typic chromusterts) by soil amendments and land uses in Chambal region, India. Indian Journal of Soil Conservation. 44(3). 276–283.3 indexed citations
Mohanty, M., et al.. (2015). Crop Growth Simulation Modelling And Climate Change.2 indexed citations
17.
Lakaria, Brij Lal, R. Saha, Nishant K. Sinha, et al.. (2014). Management of stressed soils of dryland agriculture in semi-arid tropics -A review. Indian Journal of Soil Conservation. 42(2). 178–187.5 indexed citations
18.
Rashmi, I., et al.. (2014). Impact of crop covers on soil properties, runoff, soil-nutrients losses and crop productivity in Vertisols of central India. Indian Journal of Soil Conservation. 42(3). 268–275.2 indexed citations
19.
Sinha, Nishant K., et al.. (2012). Landscape Characterization to Assess Impact and Magnitude of Roads on the Urban Spaces of Delhi, India. 12(1).1 indexed citations
20.
Singh, Rahul, et al.. (2012). Soil aggregates and other properties as influenced by different long term land uses under table landscape topography of Chambal region, Rajasthan, India. Indian Journal of Soil Conservation. 40(3). 212–217.5 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.