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 of Medical Image Segmentation Algorithms
2021130 citationsGaurav Kumar, K. Swapna et al.EAI Endorsed Transactions on Pervasive Health and Technologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Gaurav Kumar'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 Gaurav Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Kumar more than expected).
This network shows the impact of papers produced by Gaurav Kumar. 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 Gaurav Kumar. The network helps show where Gaurav Kumar may publish in the future.
Co-authorship network of co-authors of Gaurav Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Kumar.
A scholar is included among the top collaborators of Gaurav Kumar 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 Gaurav Kumar. Gaurav Kumar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kumar, Gaurav, et al.. (2021). A Review of Medical Image Segmentation Algorithms. EAI Endorsed Transactions on Pervasive Health and Technology. 7(27). e6–e6.130 indexed citations breakdown →
Kumar, Gaurav & Vinay Rishiwal. (2020). Machine Learning For Prediction Of Malicious Or SPAM Users On Social Networks. International journal of scientific and technology research. 9(2). 926–932.1 indexed citations
Khayrallah, Huda, Gaurav Kumar, Kevin Duh, Matt Post, & Philipp Koehn. (2017). Neural Lattice Search for Domain Adaptation in Machine Translation. Edinburgh Research Explorer (University of Edinburgh). 2. 20–25.17 indexed citations
Kumar, Gaurav, Yuan Cao, Ryan Cotterell, et al.. (2014). Translations of the Callhome Egyptian Arabic corpus for conversational speech translation.. IWSLT.10 indexed citations
Post, Matt, Gaurav Kumar, Adam Lopez, et al.. (2013). Improved Speech-to-Text Translation with the Fisher and Callhome Spanish–English Speech Translation Corpus. Edinburgh Research Explorer.60 indexed citations
17.
Post, Matt, Gaurav Kumar, Adam Lopez, et al.. (2013). International Workshop on Spoken Language Translation (IWSLT 2013).23 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.