Kifayat Ullah

37 papers receiving 771 citations

Hit Papers

Einstein Geometric Aggregation Operators using a Novel Co...202120262022202420212022202350100150

Peers

Kifayat Ullah
Comparison fields: 5 of 74
  • Management Science and Operations Research 649
  • Control and Systems Engineering 269
  • Statistics and Probability 162
  • Computational Theory and Mathematics 151
  • Artificial Intelligence 121
Replace Kiran Zahid with:
Kiran Zahid Pakistan
Utpal Mandal India
Gulfam Shahzadi Pakistan
Jawad Ali Pakistan
Donghai Liu China
Bapi Dutta Spain
Xiaohan Yu China
Anam Luqman Pakistan
Pranab Biswas India
Kifayat Ullah relative to Kiran Zahid Pakistan Kiran Zahid's profile →
Citations per field
00.5×1.5×
Kiran Zahid · 1×
Citations per year

Countries citing papers authored by Kifayat Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Kifayat Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kifayat Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Kifayat Ullah. A scholar is included among the top collaborators of Kifayat Ullah 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 Kifayat Ullah. Kifayat Ullah 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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8 12
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Multi-attribute decision-making using Archimedean aggregation operator in T-spherical fuzzy environmentbreakdown →
70
10 1
11 46
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Interval-Valued Picture Fuzzy Maclaurin Symmetric Mean Operator with application in Multiple Attribute Decision-Makingbreakdown →
100
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Einstein Geometric Aggregation Operators using a Novel Complex Interval-valued Pythagorean Fuzzy Setting with Application in Green Supplier Chain Managementbreakdown →
170
16 25
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NEAR RINGS IN THE VIEW OF DOUBLE-FRAMED SOFT FUZZY SETS
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About Kifayat Ullah

Kifayat Ullah is a scholar working on Management Science and Operations Research, Statistics and Probability and Control and Systems Engineering, having authored 42 papers that have together received 790 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (30 papers), Optimization and Mathematical Programming (17 papers) and Fuzzy Systems and Optimization (12 papers). The work is most often cited by research in Management Science and Operations Research (649 citations), Statistics and Probability (162 citations) and Control and Systems Engineering (269 citations). Kifayat Ullah has collaborated with scholars based in Pakistan, China and India. Frequent co-authors include Tahir Mahmood, Qaisar Khan, Zeeshan Ali, Haolun Wang, Amir Hussain, Mehwish Bari, Zeeshan Ali, Naeem Jan, Dragan Pamučar and Harish Garg. Their work appears in journals such as Scientific Reports, Sustainable Cities and Society and Engineering Applications of Artificial Intelligence.

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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