Citations per year, relative to Mukesh Mohania Mukesh Mohania (= 1×)
peers
Bernhard Thalheim
Countries citing papers authored by Mukesh Mohania
Since
Specialization
Citations
This map shows the geographic impact of Mukesh Mohania'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 Mohania with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh Mohania more than expected).
This network shows the impact of papers produced by Mukesh Mohania. 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 Mohania. The network helps show where Mukesh Mohania may publish in the future.
Co-authorship network of co-authors of Mukesh Mohania
This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Mohania.
A scholar is included among the top collaborators of Mukesh Mohania 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 Mohania. Mukesh Mohania is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Contractor, Danish, et al.. (2016). Document Segmentation for Labeling with Academic Learning Objectives.. Educational Data Mining. 282–287.3 indexed citations
6.
Meersman, Robert, Tharam S. Dillon, Pilar Herrero, et al.. (2011). On the Move to Meaningful Internet Systems: OTM 2011 - Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2011 - Proceedings Part II. Springer eBooks.1 indexed citations
7.
Sachan, Mrinmaya, Tanveer A. Faruquie, L. V. Subramaniam, & Mukesh Mohania. (2011). Using Text Reviews for Product Entity Completion. International Joint Conference on Natural Language Processing. 983–991.1 indexed citations
8.
Faruquie, Tanveer A., et al.. (2010). Automatically Generating Term Frequency Induced Taxonomies. Meeting of the Association for Computational Linguistics. 126–131.6 indexed citations
9.
Bigus, Joseph P., Prasad Deshpande, Ramakrishnan Kannan, et al.. (2009). CRM Analytics Framework.
10.
Nambiar, Ullas, Himanshu Gupta, & Mukesh Mohania. (2007). CallAssist: helping call center agents in preference elicitation. Very Large Data Bases. 1338–1341.3 indexed citations
Kambayashi, Yahiko, Mukesh Mohania, & Wolfram Wöß. (2004). Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings (Lecture Notes in Computer Science). Springer eBooks.1 indexed citations
13.
Bhide, Manish, Sandeep Pandey, Ajay Gupta, & Mukesh Mohania. (2003). Dynamic Access Control Framework Based On Events.. 765–767.1 indexed citations
14.
Cheng, Kai, Yahiko Kambayashi, & Mukesh Mohania. (2001). Using Database Technology to Improve Performance of Web Proxy Servers.. 73–78.1 indexed citations
15.
Liu, Jixue, Millist W. Vincent, & Mukesh Mohania. (1999). Incremental Evaluation of Nest and Unnest Operators in Nested Relations.. 264–275.6 indexed citations
16.
Mohania, Mukesh, Kamalakar Karlapalem, & Yahiko Kambayashi. (1999). Data Warehouse Design and Maintenance through View Normalization. 1677. 747–750.5 indexed citations
17.
Wahlstrom, Kirsten, et al.. (1999). Fragmentation of Multidimensional Databases.. Australasian Database Conference. 153–164.9 indexed citations
18.
Mohania, Mukesh & Guozhu Dong. (1996). Algorithms for Adapting Materialised Views in Data Warehouses. Journal of Bioresource Management. 309–316.3 indexed citations
19.
Mohania, Mukesh & Nandlal L. Sarda. (1995). A FRAMEWORK FOR COOPERATIVE DEDUCTIVE DATABASE-SYSTEMS. DSpace (IIT Bombay). 14(2). 147–171.
20.
Mohania, Mukesh & Nandlal L. Sarda. (1994). Some Issues in Design of Distributed Deductive Databases. Very Large Data Bases. 60–71.1 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.