Fahim Abdullah

623 citations
31 papers · 433 · h-index 13

Impact in

Papers in

Fahim Abdullah

29 papers receiving 420 citations

Peers

Fahim Abdullah
Comparison fields: 5 of 70
  • Control and Systems Engineering 274
  • Catalysis 34
  • Statistical and Nonlinear Physics 60
  • Statistics, Probability and Uncertainty 21
  • Artificial Intelligence 55
Replace David Rincón with:
David Rincón United States
Mohammed S. Alhajeri United States
Scarlett Chen United States
Björn D. Tyréus United States
A.G. Marchetti Switzerland
Yidong Lang Germany
Bhavana Bhadriraju United States
Mohammed Saad Faizan Bangi United States
Rakesh Angira India
Fahim Abdullah relative to David Rincón United States David Rincón's profile →
Citations per field
00.5×1.5×2.4×
David Rincón · 1×
Citations per year

Countries citing papers authored by Fahim Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Fahim Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Fahim Abdullah, 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 Fahim Abdullah Line = papers co-authored together Fahim Abdullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202298
2 202243
3 202327
4 202424
5 202023
6 202121
7 202120
8 202217
9 202315
10 202312
11 202212
12 202312
13 202312
14 202411
15 202310
16 202110
17 20239
18 20248
19 20238
20 20237

About Fahim Abdullah

Fahim Abdullah is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Catalysis, having authored 31 papers that have together received 433 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (21 papers), Fault Detection and Control Systems (19 papers), Control Systems and Identification (11 papers), Smart Grid Security and Resilience (5 papers), Distributed Control Multi-Agent Systems (3 papers), Neural Networks and Applications (3 papers), Catalysts for Methane Reforming (3 papers) and Stability and Control of Uncertain Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (274 citations), Catalysis (34 citations), Statistical and Nonlinear Physics (60 citations), Statistics, Probability and Uncertainty (21 citations) and Artificial Intelligence (55 citations). Fahim Abdullah has collaborated with scholars based in United States, Kuwait and Singapore. Frequent co-authors include Panagiotis D. Christofides, Zhe Wu, Mohammed S. Alhajeri, Junwei Luo, Yi Ren, Scarlett Chen, Carlos G. Morales‐Guio, Joonbaek Jang, Xiaodong Cui and Janet A.W. Elliott. Their work appears in journals such as Process Safety and Environmental Protection, Computers & Chemical Engineering, AIChE Journal, Reviews in Chemical Engineering and Control Engineering Practice.

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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