Muhammad Saeed

2.3k citations
201 papers · 1.8k · h-index 22

Impact in

Papers in

Muhammad Saeed

189 papers receiving 1.7k citations

Peers

Muhammad Saeed
Comparison fields: 5 of 134
  • Management Science and Operations Research 1.1k
  • Computational Theory and Mathematics 626
  • Statistics and Probability 136
  • Control and Systems Engineering 221
  • Geometry and Topology 67
Replace René Henrion with:
René Henrion Germany
A N Donev United Kingdom
Muhammad Aamir Pakistan
Wentao Li China
Kai‐Tai Fang China
Jin Han Park South Korea
Byung Rae Cho United States
Robert B. Cooper United States
Musavarah Sarwar Pakistan
Nasreen Kausar Türkiye
Muhammad Saeed relative to René Henrion Germany René Henrion's profile →
Citations per field
00.5×7.2×
René Henrion · 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 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197949
2 202144
3 202044
4 202141
5 202137
6 202035
7 202132
8 202132
9 202232
10 202028
11 201927
12 202126
13 202124
14
Using Line x Tester Analysis for Earliness and Plant Height Traits in Sunflower (Helianthus annuus L.)
200924
15 202224
16 201824
17 202323
18 201923
19 197723
20 202223

About Muhammad Saeed

Muhammad Saeed is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Plant Science and Control and Systems Engineering, having authored 201 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (93 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 (14 papers), Fuzzy Systems and Optimization (13 papers), Optimization and Mathematical Programming (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 (626 citations), Statistics and Probability (136 citations), Control and Systems Engineering (221 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 Ahsan, Muhammad Haris Saeed, Muhammad Saqlain, Florentín Smarandache, Asad Mehmood, Hamiden Abd El‐Wahed Khalifa, Mazin Abed Mohammed, R. L. Fox and Rana Muhammad Zulqarnain. Their work appears in journals such as IEEE Access, Heliyon, PLoS ONE, Biomedical Signal Processing and Control and Soft Computing.

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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