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.
Machine Learning from Theory to Algorithms: An Overview
This map shows the geographic impact of Akshi 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 Akshi Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshi Kumar more than expected).
This network shows the impact of papers produced by Akshi 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 Akshi Kumar. The network helps show where Akshi Kumar may publish in the future.
Co-authorship network of co-authors of Akshi Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Akshi Kumar.
A scholar is included among the top collaborators of Akshi 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 Akshi Kumar. Akshi Kumar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kumar, Akshi. (2021). Rumour Stance Classification using A Hybrid of Capsule Network and Multi-Layer Perceptron. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(13). 4110–4120.2 indexed citations
Bhatia, M. P. S., et al.. (2016). Ontology based framework for reverse engineering of conventional softwares. International Conference on Computing for Sustainable Global Development. 3645–3648.3 indexed citations
14.
Bhatia, M. P. S., et al.. (2016). Ontology based framework for detecting ambiguities in software requirements specification. International Conference on Computing for Sustainable Global Development. 3572–3575.6 indexed citations
15.
Kumar, Akshi, et al.. (2016). Survey and evaluation of food recommendation systems and techniques. International Conference on Computing for Sustainable Global Development. 3592–3596.4 indexed citations
16.
Kumar, Akshi, et al.. (2015). Characterizing relatedness of web and requirements engineering. SHILAP Revista de lepidopterología.8 indexed citations
Bhatia, M. P. S., et al.. (2015). Ontology based framework for automatic software's documentation. International Conference on Computing for Sustainable Global Development. 421–424.3 indexed citations
19.
Kumar, Akshi & Ruchi Goel. (2012). Event driven test case selection for regression testing web applications. IEEE-International Conference On Advances In Engineering, Science And Management. 121–127.5 indexed citations
20.
Bhatia, M. P. S. & Akshi Kumar. (2010). Paradigm shifts: from pre-web information systems to recent web-based contextual information retrieval. SHILAP Revista de lepidopterología.6 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.