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.
A Review Paper : Noise Models in Digital Image Processing
Countries citing papers authored by Brijendra Kumar Joshi
Since
Specialization
Citations
This map shows the geographic impact of Brijendra Kumar Joshi'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 Brijendra Kumar Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brijendra Kumar Joshi more than expected).
Fields of papers citing papers by Brijendra Kumar Joshi
This network shows the impact of papers produced by Brijendra Kumar Joshi. 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 Brijendra Kumar Joshi. The network helps show where Brijendra Kumar Joshi may publish in the future.
Co-authorship network of co-authors of Brijendra Kumar Joshi
This figure shows the co-authorship network connecting the top 25 collaborators of Brijendra Kumar Joshi.
A scholar is included among the top collaborators of Brijendra Kumar Joshi 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 Brijendra Kumar Joshi. Brijendra Kumar Joshi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Joshi, Brijendra Kumar, et al.. (2016). Implementing the International Treaty on Plant Genetic Resources for Food and Agriculture in Nepal: Achievements and challenges. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).1 indexed citations
8.
Joshi, Brijendra Kumar, et al.. (2015). Agronomic Performances of Rice and Potato in Different Cropping Patterns.
Joshi, Brijendra Kumar, et al.. (2012). Classification of tartary buckwheat accessions of west Nepal by cluster and principal component analyses.. 12. 22–33.1 indexed citations
Joshi, Brijendra Kumar & Kazutoshi Okuno. (2010). Correlation and path coefficients analyses of agronomical traits in tartary buckwheat.. 10. 11–22.4 indexed citations
15.
Joshi, Brijendra Kumar. (2008). Diversity based on coefficient of parentage among rice (Oryza sativa L.) cultivars for mid and high hills of Nepal.. SAARC Journal of Agriculture. 6(1). 39–50.1 indexed citations
16.
Joshi, Brijendra Kumar. (2007). Isozyme variation in Nepalese rice (Oryza sative L.) cultivars.. SAARC Journal of Agriculture. 5(1). 95–109.1 indexed citations
17.
Joshi, Brijendra Kumar, et al.. (2004). Genetic diversity in Nepalese wheat cultivars based on agromorphological traits and coefficients of parentage.21 indexed citations
18.
Joshi, Brijendra Kumar. (2003). Hybrid vigor in crosses of IR58025A with Nepalese rice cultivars.. SAARC Journal of Agriculture. 1. 167–172.
19.
Joshi, Brijendra Kumar, et al.. (2001). Heterosis for Growth and Development Characteristics in Rice. Nepal Journal of Science and Technology. 3(1).
20.
Joshi, Brijendra Kumar, et al.. (2000). Plant-microbial community dynamics associated with soil nutrient gradients in newly rehabilitated degraded land: a case study from the Indian central Himalayas.. 271–279.2 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.