Marwan Bikdash

1.3k citations
122 papers · 910 · h-index 16

Impact in

Papers in

Marwan Bikdash

104 papers receiving 859 citations

Peers

Marwan Bikdash
Comparison fields: 5 of 103
  • Control and Systems Engineering 325
  • Statistical and Nonlinear Physics 111
  • Artificial Intelligence 196
  • Computer Networks and Communications 122
  • Computer Vision and Pattern Recognition 101
Replace Zhigang Ren with:
Zhigang Ren China
Novak Nedić Serbia
Shangbin Jiao China
Mohammad Ataei Iran
Jonathan Rogers United States
Mohammad Taghi Hamidi Beheshti Iran
Guanzhong Dai China
Jesús Alberto Meda-Campaña Mexico
Liang Hua China
Wei Dong China
Marwan Bikdash relative to Zhigang Ren China Zhigang Ren's profile →
Citations per field
00.5×1.6×
Zhigang Ren · 1×
Citations per year

Countries citing papers authored by Marwan Bikdash

Since Specialization
Citations

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

Fields of papers citing papers by Marwan Bikdash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199492
2 199943
3 202140
4 201737
5 201534
6 200029
7 201625
8 201124
9 199922
10 200219
11 200319
12 199917
13 201516
14 200716
15 201115
16 201515
17 201714
18 200913
19 201713
20 201813

About Marwan Bikdash

Marwan Bikdash is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 122 papers that have together received 910 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Robotic Path Planning Algorithms (12 papers), Fuzzy Logic and Control Systems (9 papers), Smart Grid Security and Resilience (9 papers), Robotics and Sensor-Based Localization (9 papers), Advanced Control Systems Optimization (8 papers), Network Security and Intrusion Detection (8 papers) and Adaptive Control of Nonlinear Systems (7 papers). The work is most often cited by research in Control and Systems Engineering (325 citations), Statistical and Nonlinear Physics (111 citations), Artificial Intelligence (196 citations), Computer Networks and Communications (122 citations) and Computer Vision and Pattern Recognition (101 citations). Marwan Bikdash has collaborated with scholars based in United States, Australia and Saudi Arabia. Frequent co-authors include Abdollah Homaifar, Xiangfeng Dai, Balakumar Balachandran, Amirul Islam, Kaushik Roy, Eugene M. Cliff, Ali H. Nayfeh, Justin Zhan, Gerry Dozier and Fred Y. Hadaegh. Their work appears in journals such as Journal of Guidance Control and Dynamics, IEEE Access, Big Data Mining and Analytics, Journal of Vibration and Control and Nonlinear Dynamics.

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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