Mukesh Mohania

110 papers receiving 1.1k citations

Peers

Mukesh Mohania
Comparison fields: 5 of 72
  • Computer Networks and Communications 575
  • Information Systems 544
  • Artificial Intelligence 540
  • Signal Processing 296
  • Management Science and Operations Research 155
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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).

Fields of papers citing papers by Mukesh Mohania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
#WorkIndexed citations
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5
Document Segmentation for Labeling with Academic Learning Objectives.
3
6
On the Move to Meaningful Internet Systems: OTM 2011 - Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2011 - Proceedings Part II
1
7
Using Text Reviews for Product Entity Completion
1
8
Automatically Generating Term Frequency Induced Taxonomies
6
9
CRM Analytics Framework
0
10
CallAssist: helping call center agents in preference elicitation
3
11 42
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Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings (Lecture Notes in Computer Science)
1
13
Dynamic Access Control Framework Based On Events.
1
14
Using Database Technology to Improve Performance of Web Proxy Servers.
1
15
Incremental Evaluation of Nest and Unnest Operators in Nested Relations.
6
16
Data Warehouse Design and Maintenance through View Normalization
5
17
Fragmentation of Multidimensional Databases.
9
18
Algorithms for Adapting Materialised Views in Data Warehouses
3
19
A FRAMEWORK FOR COOPERATIVE DEDUCTIVE DATABASE-SYSTEMS
0
20
Some Issues in Design of Distributed Deductive Databases
1

About Mukesh Mohania

Mukesh Mohania is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 122 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (53 papers), Data Management and Algorithms (36 papers) and Semantic Web and Ontologies (29 papers). The work is most often cited by research in Signal Processing (296 citations), Computer Networks and Communications (575 citations) and Information Systems (544 citations). Mukesh Mohania has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Himanshu Gupta, Venkatesan T. Chakaravarthy, Prasan Roy, Yahiko Kambayashi, Hoang Tam Vo, Tanveer A. Faruquie, Ullas Nambiar, Kalika Prasad, L. Venkata Subramaniam and A Min Tjoa. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Future Generation Computer Systems.

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.

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