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.
Countries citing papers authored by Mukesh Singhal
Since
Specialization
Citations
This map shows the geographic impact of Mukesh Singhal'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 Mukesh Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh Singhal more than expected).
This network shows the impact of papers produced by Mukesh Singhal. 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 Mukesh Singhal. The network helps show where Mukesh Singhal may publish in the future.
Co-authorship network of co-authors of Mukesh Singhal
This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Singhal.
A scholar is included among the top collaborators of Mukesh Singhal 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 Mukesh Singhal. Mukesh Singhal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Singhal, Mukesh, et al.. (2016). Trust Dynamics in Human Autonomous Vehicle Interaction: A Review of Trust Models. National Conference on Artificial Intelligence.23 indexed citations
Singhal, Mukesh, et al.. (2014). Elzaki decomposition method for the solution of black-scholes partial differential equation. ZENITH International Journal of Multidisciplinary Research. 4(3). 199–204.1 indexed citations
Chakrabarti, Saikat, et al.. (2007). Graphical passwords: drawing a secret with rotation as a new degree of freedom. 114–120.5 indexed citations
13.
Wang, Yongwei, et al.. (2007). A Truthful Geographic Forwarding Algorithm for Ad-hoc Networks with Selfish Nodes. International journal of network security. 5. 252–263.6 indexed citations
14.
Singhal, Mukesh, et al.. (2007). Enhancing Performance by Salvaging Route Reply Messages in On-Demand Routing Protocols for MANETs. The Keep (Eastern Illinois University). 5. 161–188.3 indexed citations
15.
Rees, Gwyn, M. D. Zaidman, Sunil R. Kansakar, et al.. (2002). Application of the regional flow estimation method in the Himalayan region. IAHS-AISH publication. 433–440.6 indexed citations
16.
Prakash, Ravi & Mukesh Singhal. (1996). A Dynamic Apporach Towards Location Management in Mobile Computing Systems.. Software Engineering and Knowledge Engineering. 488–495.10 indexed citations
17.
Singhal, Mukesh, et al.. (1995). Performance analysis of the communication architecture of the connection machine. IEEE Computer Society Press eBooks. 433–443.
18.
Casavant, Thomas L. & Mukesh Singhal. (1994). Readings in Distributed Computing Systems. IEEE Computer Society Press eBooks.58 indexed citations
19.
Chang, Ye‐In, Mukesh Singhal, & Ming T. Liu. (1990). An Improved O(log N) Mutual Exclusion Algorithm for Distributed Systems.. Proceedings of the International Conference on Parallel Processing. 295–302.15 indexed citations
20.
Singhal, Mukesh & Ashok K. Agrawala. (1986). A Concurrency Control Algorithm and Its Performance for Replicated Database Systems.. International Conference on Distributed Computing Systems. 140–147.3 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.