K. Ganesan

74 papers receiving 501 citations

Peers

K. Ganesan
Comparison fields: 5 of 60
  • Statistics and Probability 206
  • Management Science and Operations Research 290
  • Control and Systems Engineering 349
  • Software 36
  • Computational Theory and Mathematics 105
Replace Q. M. Danish Lohani with:
Q. M. Danish Lohani India
Satish Kumar India
Arnab Nilim United States
Raghu Pasupathy United States
Yijie Peng China
A. Nagoor Gani Pakistan
Juan Carlos Figueroa–García Colombia
Ubaid ur Rehman Pakistan
Zubair Ashraf India
Felisa J. Vázquez-Abad Canada
K. Ganesan relative to Q. M. Danish Lohani India Q. M. Danish Lohani's profile →
Citations per field
00.5×4.2×
Q. M. Danish Lohani · 1×
Citations per year

Countries citing papers authored by K. Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by K. Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside K. Ganesan, 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 K. Ganesan Line = papers co-authored together K. Ganesan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006170
2 200546
3 200241
4
A NEW APPROACH ON SOLVING INTUITIONISTIC FUZZY LINEAR PROGRAMMING PROBLEM
201540
5 200725
6 201815
7 199814
8 200212
9
Interval Linear Programming with generalized interval arithmetic
201112
10 20198
11 20028
12 20127
13 20197
14
Biological activity of Seaweed extracts from Cladophora clavuligera (Kutzing, 1843) and Sargassum wightii (Greville, 1995) against marine fouling bacteria
20117
15 20217
16 20206
17 20026
18 20235
19 20185
20 20195

About K. Ganesan

K. Ganesan is a scholar working on Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics and Ocean Engineering, having authored 82 papers that have together received 555 indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (46 papers), Multi-Criteria Decision Making (40 papers), Fuzzy Systems and Optimization (31 papers), Numerical Methods and Algorithms (12 papers), Underwater Vehicles and Communication Systems (6 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Digital Filter Design and Implementation (4 papers) and Vehicle Routing Optimization Methods (4 papers). The work is most often cited by research in Statistics and Probability (206 citations), Management Science and Operations Research (290 citations), Control and Systems Engineering (349 citations), Software (36 citations) and Computational Theory and Mathematics (105 citations). K. Ganesan has collaborated with scholars based in India, United States and Canada. Frequent co-authors include P. Veeramani, K. Prabakaran, S.M. Smith, Neeraj Goel, Taghi M. Khoshgoftaar, Edward B. Allen, Ping An, M. Pavithra, K. Preston White and G. Ramesh. Their work appears in journals such as International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Annals of Operations Research, Soft Computing, International Journal of Systems Science and Journal of Intelligent & Fuzzy 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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