Muhammad Saeed

2.4k citations
207 papers · 1.9k · h-index 22

Impact in

Papers in

Muhammad Saeed

194 papers receiving 1.8k citations

Peers

Muhammad Saeed
Comparison fields: 5 of 139
  • Management Science and Operations Research 1.1k
  • Computational Theory and Mathematics 630
  • Statistics and Probability 140
  • Control and Systems Engineering 226
  • Geometry and Topology 67
Replace Marco A. López Cerdá with:
Marco A. López Cerdá Spain
Alexander N. Donev United Kingdom
Kai‐Tai Fang Hong Kong
René Henrion Germany
Muhammad Aamir Pakistan
Ivan P. Popchev Bulgaria
Musavarah Sarwar Pakistan
Kai‐Tai Fang China
Byung Rae Cho United States
Jin Han Park South Korea
Muhammad Saeed relative to Marco A. López Cerdá Spain Marco A. López Cerdá's profile →
Citations per field
00.5×2×4×6.9×
Marco A. López Cerdá · 1×
Citations per year

Countries citing papers authored by Muhammad Saeed

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Saeed, 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 Muhammad Saeed Line = papers co-authored together Muhammad Saeed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197959
2 202046
3 202144
4 202141
5 202139
6 202035
7 202235
8 202134
9 202133
10 201930
11 202029
12 202126
13 202126
14 197725
15 202225
16 201824
17 202324
18 202023
19 202323
20 202423

About Muhammad Saeed

Muhammad Saeed is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Statistics and Probability, Artificial Intelligence and Plant Science, having authored 207 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (94 papers), Fuzzy and Soft Set Theory (90 papers), Advanced Algebra and Logic (43 papers), Rough Sets and Fuzzy Logic (14 papers), Fuzzy Logic and Control Systems (13 papers), Optimization and Mathematical Programming (13 papers), Fuzzy Systems and Optimization (12 papers) and Genetics and Plant Breeding (11 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Computational Theory and Mathematics (630 citations), Statistics and Probability (140 citations), Control and Systems Engineering (226 citations) and Geometry and Topology (67 citations). Muhammad Saeed has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Atiqe Ur Rahman, Muhammad Haris Saeed, Muhammad Nadeem Ahsan, Muhammad Saqlain, Florentín Smarandache, Asad Mehmood, Hamiden Abd El‐Wahed Khalifa, Robert L. Fox, Mazin Abed Mohammed and Rana Muhammad Zulqarnain. Their work appears in journals such as IEEE Access, Heliyon, Applied Soft Computing, Agronomy 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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