Islam S. M. Khalil

3.0k citations
123 papers · 2.4k indexed · 1 hit paper · h-index 26
Topics
Micro and Nano Robotics (89 papers)Microfluidic and Bio-sensing Technologies (41 papers)Modular Robots and Swarm Intelligence (38 papers)
Partner nations
NetherlandsEgyptGermany

In The Last Decade

Islam S. M. Khalil

115 papers receiving 2.3k citations

Hit Papers

Magnetic Actuation Methods in Bio/Soft Robotics2020202620222024202050100150200

Peers

Islam S. M. Khalil
Comparison fields: 5 of 98
  • Condensed Matter Physics 1.8k
  • Biomedical Engineering 1.7k
  • Mechanical Engineering 1.1k
  • Electrical and Electronic Engineering 149
  • Control and Systems Engineering 105
Replace Andrew J. Petruska with:
Andrew J. Petruska United States
Veronika Magdanz Germany
Bradley E. Kratochvil Switzerland
Kathrin E. Peyer Switzerland
Dominik J. Bell Switzerland
I. Kaliakatsos Switzerland
Michael P. Kummer Switzerland
Tian‐Yun Huang China
Stefano Palagi Italy
Kai Melde Germany
Islam S. M. Khalil relative to Andrew J. Petruska United States Andrew J. Petruska's profile →
Citations per field
00.5×4.3×
Andrew J. Petruska · 1×
Citations per year

Countries citing papers authored by Islam S. M. Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Islam S. M. Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Islam S. M. Khalil. 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 Islam S. M. Khalil. The network helps show where Islam S. M. Khalil may publish in the future.

Co-authorship network of co-authors of Islam S. M. Khalil

This figure shows the co-authorship network connecting the top 25 collaborators of Islam S. M. Khalil. A scholar is included among the top collaborators of Islam S. M. Khalil 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 Islam S. M. Khalil. Islam S. M. Khalil 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
#WorkIndexed citations
1 0
2 1
3 1
4 23
5 3
6 6
7 10
8 5
9 3
10 13
11 14
12 4
13 15
14 21
15 8
16 5
17 57
18 12
19 28
20 66

About Islam S. M. Khalil

Islam S. M. Khalil is a scholar working on Condensed Matter Physics, Biomedical Engineering and Mechanical Engineering, having authored 123 papers that have together received 2.4k indexed citations. Recurring topics across this work include Micro and Nano Robotics (89 papers), Microfluidic and Bio-sensing Technologies (41 papers) and Modular Robots and Swarm Intelligence (38 papers). The work is most often cited by research in Condensed Matter Physics (1.8k citations), Biomedical Engineering (1.7k citations) and Mechanical Engineering (1.1k citations). Islam S. M. Khalil has collaborated with scholars based in Netherlands, Egypt and Germany. Frequent co-authors include Sarthak Misra, Veronika Magdanz, Anke Klingner, Léon Abelmann, Oliver G. Schmidt, Samuel Sánchez, Ahmet Fatih Tabak, Metin Sitti, Sumit Mohanty and Nabila Hamdi. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Applied Physics Letters.

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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2026