Jabbar Ahmmad

514 total citations
33 papers, 366 citations indexed

About

Jabbar Ahmmad is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Jabbar Ahmmad has authored 33 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Science and Operations Research, 14 papers in Computational Theory and Mathematics and 10 papers in Control and Systems Engineering. Recurrent topics in Jabbar Ahmmad's work include Multi-Criteria Decision Making (28 papers), Fuzzy and Soft Set Theory (18 papers) and Rough Sets and Fuzzy Logic (10 papers). Jabbar Ahmmad is often cited by papers focused on Multi-Criteria Decision Making (28 papers), Fuzzy and Soft Set Theory (18 papers) and Rough Sets and Fuzzy Logic (10 papers). Jabbar Ahmmad collaborates with scholars based in Pakistan, Saudi Arabia and China. Jabbar Ahmmad's co-authors include Tahir Mahmood, Ubaid ur Rehman, Ronnason Chinram, Zeeshan Ali, Gustavo Santos‐García, Shouzhen Zeng, Qaisar Khan, Aiyared Iampan, Nayyar Mehmood and Miin‐Shen Yang and has published in prestigious journals such as Scientific Reports, IEEE Access and Heliyon.

In The Last Decade

Jabbar Ahmmad

29 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jabbar Ahmmad Pakistan 11 316 129 104 82 52 33 366
Amna Habib Pakistan 9 271 0.9× 102 0.8× 102 1.0× 83 1.0× 62 1.2× 15 368
Khizar Hayat Pakistan 13 361 1.1× 119 0.9× 92 0.9× 76 0.9× 47 0.9× 30 412
N. O. Alshehri Saudi Arabia 11 370 1.2× 170 1.3× 75 0.7× 122 1.5× 35 0.7× 34 445
Syeda Tayyba Tehrim Pakistan 8 313 1.0× 131 1.0× 97 0.9× 68 0.8× 59 1.1× 11 347
Xiaohong Zhang China 10 339 1.1× 114 0.9× 98 0.9× 142 1.7× 80 1.5× 11 435
Sundas Shahzadi Pakistan 12 319 1.0× 159 1.2× 69 0.7× 66 0.8× 43 0.8× 29 361
Roan Thi Ngan Vietnam 6 255 0.8× 90 0.7× 90 0.9× 122 1.5× 80 1.5× 9 346
Atiqe Ur Rahman Pakistan 15 540 1.7× 276 2.1× 109 1.0× 103 1.3× 71 1.4× 85 677
Kaihong Guo China 9 309 1.0× 82 0.6× 103 1.0× 141 1.7× 136 2.6× 17 381
Gang Qian China 8 361 1.1× 115 0.9× 144 1.4× 108 1.3× 118 2.3× 20 406

Countries citing papers authored by Jabbar Ahmmad

Since Specialization
Citations

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

Fields of papers citing papers by Jabbar Ahmmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jabbar Ahmmad

This figure shows the co-authorship network connecting the top 25 collaborators of Jabbar Ahmmad. A scholar is included among the top collaborators of Jabbar Ahmmad 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 Jabbar Ahmmad. Jabbar Ahmmad 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.
Mahmood, Tahir, Muhammad Ali, Jabbar Ahmmad, Ubaid ur Rehman, & Muhammad Adeel Farooq. (2025). Bi-parametric Similarity Measures for Complex Hesitant Fuzzy Sets with Applications to Pattern Recognition and Medical Diagnosis. 2. 451–481.
2.
Ahmmad, Jabbar, et al.. (2025). Prioritizing disability support systems by using Tamir’s complex fuzzy Dombi aggregation operators. Scientific Reports. 15(1). 17411–17411.
4.
Ahmmad, Jabbar, et al.. (2025). A novel Complex q-rung orthopair fuzzy Yager aggregation operators and their applications in environmental engineering. Heliyon. 11(1). e41668–e41668. 1 indexed citations
5.
Ahmmad, Jabbar, et al.. (2025). AI-assisted technology optimization in disability support systems using fuzzy rough MABAC decision-making. Scientific Reports. 15(1). 18335–18335.
6.
Emam, Walid, Jabbar Ahmmad, Tahir Mahmood, & Tapan Senapati. (2024). Impact of AI Techniques in Electrical Engineering With Spherical Fuzzy Soft Geometric Aggregation Operators. IEEE Access. 12. 119803–119828. 1 indexed citations
7.
Mahmood, Tahir, et al.. (2024). T-Bipolar Soft Semigroups and Related Results. 1(1). 258–271. 8 indexed citations
8.
Mahmood, Tahir, Azmat Hussain, Ubaid ur Rehman, & Jabbar Ahmmad. (2024). Bipolar Complex Fuzzy Rough Sets and Their Applications in Multicriteria Decision Making. 175–207. 1 indexed citations
9.
Emam, Walid, Jabbar Ahmmad, Tahir Mahmood, Ubaid ur Rehman, & Shi Yin. (2024). Classification of artificial intelligence tools for civil engineering under the notion of complex fuzzy rough Frank aggregation operators. Scientific Reports. 14(1). 11892–11892. 3 indexed citations
10.
Ahmmad, Jabbar, et al.. (2023). Classification of Data Mining Techniques under the Environment of T-Bipolar Soft Rings. Symmetry. 15(10). 1870–1870.
11.
Yang, Xiaopeng, Tahir Mahmood, Jabbar Ahmmad, & Khizar Hayat. (2023). A novel study of spherical fuzzy soft Dombi aggregation operators and their applications to multicriteria decision making. Heliyon. 9(6). e16816–e16816. 6 indexed citations
12.
Yang, Xiaopeng, Tahir Mahmood, & Jabbar Ahmmad. (2023). Picture fuzzy soft Bonferroni mean aggregation operators and their applications. Heliyon. 9(6). e17278–e17278. 4 indexed citations
13.
Mahmood, Tahir, Jabbar Ahmmad, Jeonghwan Gwak, & Naeem Jan. (2023). Prioritization of thermal energy techniques by employing picture fuzzy soft power average and geometric aggregation operators. Scientific Reports. 13(1). 1707–1707. 4 indexed citations
14.
Mahmood, Tahir, Jabbar Ahmmad, Zeeshan Ali, & Miin‐Shen Yang. (2023). Confidence Level Aggregation Operators Based on Intuitionistic Fuzzy Rough Sets With Application in Medical Diagnosis. IEEE Access. 11. 8674–8688. 19 indexed citations
16.
Mahmood, Tahir, Kashif Hussain, Jabbar Ahmmad, Ubaid ur Rehman, & Muhammad Aslam. (2022). A Novel Approach Toward TOPSIS Method Based on Lattice Ordered T-Bipolar Soft Sets and Their Applications. IEEE Access. 10. 69727–69740. 9 indexed citations
17.
Ahmmad, Jabbar, et al.. (2022). Intuitionistic Fuzzy Rough Aczel-Alsina Average Aggregation Operators and Their Applications in Medical Diagnoses. Symmetry. 14(12). 2537–2537. 33 indexed citations
18.
Mahmood, Tahir, et al.. (2022). Spherical Fuzzy Soft Rough Average Aggregation Operators and Their Applications to Multi-Criteria Decision Making. IEEE Access. 10. 27832–27852. 18 indexed citations
19.
Ahmmad, Jabbar, Tahir Mahmood, Ronnason Chinram, & Aiyared Iampan. (2021). Some average aggregation operators based on spherical fuzzy soft sets and their applications in multi-criteria decision making. AIMS Mathematics. 6(7). 7798–7832. 28 indexed citations
20.
Garg, Harish, Tahir Mahmood, Jabbar Ahmmad, Qaisar Khan, & Zeeshan Ali. (2020). Cubic q-Rung Orthopair Fuzzy Linguistic Set and Their Application to Multiattribute Decision-making with Muirhead Mean Operator. 1(1). 37–50. 13 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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