A. S. Ranadive

549 total citations
26 papers, 327 citations indexed

About

A. S. Ranadive is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, A. S. Ranadive has authored 26 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 13 papers in Management Science and Operations Research and 8 papers in Artificial Intelligence. Recurrent topics in A. S. Ranadive's work include Rough Sets and Fuzzy Logic (13 papers), Multi-Criteria Decision Making (12 papers) and Fixed Point Theorems Analysis (5 papers). A. S. Ranadive is often cited by papers focused on Rough Sets and Fuzzy Logic (13 papers), Multi-Criteria Decision Making (12 papers) and Fixed Point Theorems Analysis (5 papers). A. S. Ranadive collaborates with scholars based in India, Croatia and Türkiye. A. S. Ranadive's co-authors include Prasenjit Mandal, Sovan Samanta, Madhumangal Pal, Dhananjay Gopal, Cheng‐Chi Lee, Jitendra V. Tembhurne, Sarita Gajbhiye Meshram, Chun‐Ta Li, Chandrashekhar Meshram and Satish Shukla and has published in prestigious journals such as Expert Systems with Applications, Artificial Intelligence Review and Soft Computing.

In The Last Decade

A. S. Ranadive

24 papers receiving 319 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. S. Ranadive India 11 229 181 97 53 42 26 327
N. O. Alshehri Saudi Arabia 11 370 1.6× 170 0.9× 122 1.3× 17 0.3× 75 1.8× 34 445
Sundas Shahzadi Pakistan 12 319 1.4× 159 0.9× 66 0.7× 18 0.3× 69 1.6× 29 361
W. B. Vasantha Kandasamy India 10 182 0.8× 129 0.7× 107 1.1× 13 0.2× 24 0.6× 77 332
Michael Soltys United States 10 112 0.5× 100 0.6× 90 0.9× 61 1.2× 16 0.4× 31 334
Prasenjit Mandal India 12 255 1.1× 188 1.0× 105 1.1× 49 0.9× 42 1.0× 22 336
Tarasankar Pramanik India 7 196 0.9× 107 0.6× 88 0.9× 7 0.1× 38 0.9× 12 278
Abdelwaheb Mhemdi Saudi Arabia 15 399 1.7× 299 1.7× 61 0.6× 21 0.4× 31 0.7× 49 510
Lingqiang Li China 16 510 2.2× 595 3.3× 127 1.3× 51 1.0× 14 0.3× 63 703
Ewa Rak Poland 12 280 1.2× 221 1.2× 61 0.6× 10 0.2× 29 0.7× 25 349

Countries citing papers authored by A. S. Ranadive

Since Specialization
Citations

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

Fields of papers citing papers by A. S. Ranadive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Ranadive. 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 A. S. Ranadive. The network helps show where A. S. Ranadive may publish in the future.

Co-authorship network of co-authors of A. S. Ranadive

This figure shows the co-authorship network connecting the top 25 collaborators of A. S. Ranadive. A scholar is included among the top collaborators of A. S. Ranadive 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 A. S. Ranadive. A. S. Ranadive 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
1.
Ranadive, A. S., et al.. (2025). A novel Gustafson–Kessel based clustering algorithm using n -Pythagorean fuzzy sets. Systems and Soft Computing. 7. 200345–200345. 1 indexed citations
2.
3.
Mandal, Prasenjit, Sovan Samanta, Madhumangal Pal, & A. S. Ranadive. (2023). Regret theory based three-way conflict analysis model under q-rung orthopair fuzzy information: studies with parameter and three-way decision-making-based approaches. Artificial Intelligence Review. 56(S3). 3417–3469. 15 indexed citations
4.
Ranadive, A. S., et al.. (2022). Bipolar‐Valued Fuzzy Social Network and Centrality Measures. Discrete Dynamics in Nature and Society. 2022(1). 5 indexed citations
5.
Mandal, Prasenjit, Sovan Samanta, Madhumangal Pal, & A. S. Ranadive. (2022). Three-way decision model under a large-scale group decision-making environment with detecting and managing non-cooperative behaviors in consensus reaching process. Artificial Intelligence Review. 55(7). 5517–5542. 24 indexed citations
6.
Ranadive, A. S., et al.. (2021). Bipolar-valued hesitant fuzzy graph and its application. Social Network Analysis and Mining. 12(1). 14–14. 9 indexed citations
7.
Martínez‐Moreno, Juan, Dhananjay Gopal, Vladimir Rakočević, A. S. Ranadive, & Rajendra Pant. (2021). Caristi type mappings and characterization of completeness of Archimedean type fuzzy metric spaces. 2(1). 2 indexed citations
8.
Ranadive, A. S., et al.. (2020). COMMON FIXED POINT OF ABSORBING MAPPING SATISFYING IMPLICIT RELATION. Nonlinear functional analysis and applications. 117–126. 1 indexed citations
9.
Mandal, Prasenjit, Sovan Samanta, Madhumangal Pal, & A. S. Ranadive. (2020). Pythagorean linguistic preference relations and their applications to group decision making using group recommendations based on consistency matrices and feedback mechanism. International Journal of Intelligent Systems. 35(5). 826–849. 18 indexed citations
10.
Mandal, Prasenjit & A. S. Ranadive. (2019). (1704-3630) MULTI-GRANULATION FUZZY PROBABILISTIC ROUGH SETS AND THEIR CORRESPONDING THREE-WAY DECISIONS OVER TWO UNIVERSES. Iranian journal of fuzzy systems. 16(5). 61–76. 4 indexed citations
11.
Mandal, Prasenjit & A. S. Ranadive. (2019). Multi-granulation Pythagorean fuzzy decision-theoretic rough sets based on inclusion measure and their application in incomplete multi-source information systems. Complex & Intelligent Systems. 5(2). 145–163. 10 indexed citations
12.
Mandal, Prasenjit & A. S. Ranadive. (2019). Pythagorean fuzzy preference relations and their applications in group decision‐making systems. International Journal of Intelligent Systems. 34(7). 1700–1717. 27 indexed citations
13.
14.
Mandal, Prasenjit & A. S. Ranadive. (2018). Fuzzy multi-granulation decision-theoretic rough sets based on fuzzy preference relation. Soft Computing. 23(1). 85–99. 19 indexed citations
15.
Mandal, Prasenjit & A. S. Ranadive. (2018). Multi-granulation fuzzy decision-theoretic rough sets and bipolar-valued fuzzy decision-theoretic rough sets and their applications. Granular Computing. 4(3). 483–509. 10 indexed citations
16.
Mandal, Prasenjit & A. S. Ranadive. (2018). Hesitant bipolar-valued fuzzy sets and bipolar-valued hesitant fuzzy sets and their applications in multi-attribute group decision making. Granular Computing. 4(3). 559–583. 46 indexed citations
17.
Mandal, Prasenjit & A. S. Ranadive. (2017). Multi-granulation bipolar-valued fuzzy probabilistic rough sets and their corresponding three-way decisions over two universes. Soft Computing. 22(24). 8207–8226. 18 indexed citations
18.
Mandal, Prasenjit & A. S. Ranadive. (2016). On the structure of fuzzy variable precision rough sets based on generalized residuted lattices. Journal of Intelligent & Fuzzy Systems. 32(1). 483–497. 1 indexed citations
19.
Ranadive, A. S., et al.. (2012). Absorbing maps and common fixed point theorem in Menger space. 2(2). 108–119.
20.
Ranadive, A. S., et al.. (2012). Fixed Point Theorems via Absorbing Maps. Thai Journal of Mathematics. 6(1). 49–60. 5 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.

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