Srikumar Krishnamoorthy

902 citations
26 papers · 657 · h-index 9

Impact in

Papers in

Srikumar Krishnamoorthy

22 papers receiving 637 citations

Peers

Srikumar Krishnamoorthy
Comparison fields: 5 of 48
  • Information Systems 472
  • Computational Theory and Mathematics 301
  • Signal Processing 128
  • Artificial Intelligence 357
  • Marketing 70
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Citations per year

Countries citing papers authored by Srikumar Krishnamoorthy

Since Specialization
Citations

This map shows the geographic impact of Srikumar Krishnamoorthy'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 Srikumar Krishnamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srikumar Krishnamoorthy more than expected).

Fields of papers citing papers by Srikumar Krishnamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Srikumar Krishnamoorthy. 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 Srikumar Krishnamoorthy. The network helps show where Srikumar Krishnamoorthy may publish in the future.

Co-authors

The 5 scholars most cited alongside Srikumar Krishnamoorthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Srikumar Krishnamoorthy Line = papers co-authored together Srikumar Krishnamoorthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014184
2 2015158
3 201792
4 201863
5 202137
6 201733
7 201829
8 201216
9 20078
10 20197
11 20057
12 20045
13
A Unified and Scalable Data Migration Service for the Cloud Environments
20094
14 20054
15 20242
16 20082
17 20221
18
Data Pre-processing for Association Rule Mining.
20031
19 20151
20
An Algorithm for Mining Maximal Frequent Sets Based on Dominancy of Transactions.
20031

About Srikumar Krishnamoorthy

Srikumar Krishnamoorthy is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Marketing, having authored 26 papers that have together received 657 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Rough Sets and Fuzzy Logic (7 papers), Imbalanced Data Classification Techniques (5 papers), Data Management and Algorithms (4 papers), Customer churn and segmentation (4 papers), Advanced Database Systems and Queries (3 papers), Big Data and Business Intelligence (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Information Systems (472 citations), Computational Theory and Mathematics (301 citations), Signal Processing (128 citations), Artificial Intelligence (357 citations) and Marketing (70 citations). Srikumar Krishnamoorthy has collaborated with scholars based in India, Netherlands and Singapore. Frequent co-authors include Debjit Roy, Bharat Bhasker, Bharadwaj Veeravalli, Sumit Kumar Bose and P. Radha Krishna. Their work appears in journals such as Expert Systems with Applications, Engineering Applications of Artificial Intelligence, IEEE Transactions on Aerospace and Electronic Systems, Decision Support Systems and Knowledge-Based 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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