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.
Deep learning approaches for detecting DDoS attacks: a systematic review
2022127 citationsKrishan Kumar, Sunny Behal et al.profile →
Self-supervised Learning: A Succinct Review
2023120 citationsVeenu Rani, Munish Kumar et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Krishan 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 Krishan Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishan Kumar more than expected).
This network shows the impact of papers produced by Krishan 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 Krishan Kumar. The network helps show where Krishan Kumar may publish in the future.
Co-authorship network of co-authors of Krishan Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Krishan Kumar.
A scholar is included among the top collaborators of Krishan 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 Krishan Kumar. Krishan Kumar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kumar, Krishan, et al.. (2020). Design and Development to Face Recognition System by Synthesizing AADHAR Enabled Platform for Online Voting. SSRN Electronic Journal.
12.
Kumar, Krishan, Preeti Yadav, & Sonia Sharma. (2018). Robust Analysis for AODV Protocol in Vehicular Adhoc Network under Black Hole Attack in NS 2. International Journal on Recent and Innovation Trends in Computing and Communication. 6(6).3 indexed citations
13.
Kumar, Krishan, et al.. (2018). Pragmatical Investigation of Frequency-Domain and Spatial-Structure Based Image Forgery Detection Methods. SSRN Electronic Journal.1 indexed citations
14.
Kumar, Krishan, et al.. (2018). An Analysis of the Financial Performance of Indian Commercial Banks. SSRN Electronic Journal.1 indexed citations
15.
Behal, Sunny, Krishan Kumar, & Monika Sachdeva. (2017). Discriminating Flash Events from DDoS Attacks: A Comprehensive Review.. Int. J. Netw. Secur.. 19. 734–741.13 indexed citations
16.
Behal, Sunny & Krishan Kumar. (2017). Characterization and Comparison of DDoS Attack Tools and Traffic Generators: A Review.. International journal of network security. 19. 383–393.41 indexed citations
17.
Kumar, Krishan. (2017). Higher education in India in global context: Issues & challenges. International Journal of Academic Research and Development. 2(5). 701–704.1 indexed citations
18.
Kumar, Krishan, et al.. (2016). Performance investigations of reactive routing protocols under flooding attack in MANET. International Conference on Computing for Sustainable Global Development. 623–627.2 indexed citations
19.
Kumar, Gulshan, et al.. (2015). A comparative study of Feature Selection techniques for Intrusion Detection. International Conference on Computing for Sustainable Global Development. 2120–2124.6 indexed citations
20.
Sachdeva, Monika, Gurvinder Singh, Krishan Kumar, & Kuldip Singh. (2010). DDoS Incidents and their Impact: A Review. The International Arab Journal of Information Technology. 7. 14–20.18 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.