Azfar Khalid

1.1k citations
34 papers · 823 · h-index 13

Impact in

Papers in

Azfar Khalid

33 papers receiving 794 citations

Peers

Azfar Khalid
Comparison fields: 5 of 100
  • Industrial and Manufacturing Engineering 290
  • Medical Laboratory Technology 15
  • Control and Systems Engineering 240
  • Energy Engineering and Power Technology 14
  • Management of Technology and Innovation 27
Replace Zdeněk Bradáč with:
Zdeněk Bradáč Czechia
Song Ci China
T. Govindaraj United States
Saber Darmoul Saudi Arabia
Spyridon Koukas Greece
Bernard Schmidt Sweden
Niki Kousi Greece
Casper Schou Denmark
Vladimir Kuts Estonia
Azfar Khalid relative to Zdeněk Bradáč Czechia Zdeněk Bradáč's profile →
Citations per field
00.5×3.5×
Zdeněk Bradáč · 1×
Citations per year

Countries citing papers authored by Azfar Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Azfar Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017135
2 2018130
3 2020113
4 201893
5 202374
6 201647
7 202128
8 202126
9 201623
10 201920
11 201717
12 202316
13 202013
14 201010
15 20238
16 20148
17 20237
18 20226
19 20216
20 20235

About Azfar Khalid

Azfar Khalid is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 34 papers that have together received 823 indexed citations. Recurring topics across this work include Digital Transformation in Industry (8 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers), Robotic Mechanisms and Dynamics (4 papers), Human-Automation Interaction and Safety (3 papers), Manufacturing Process and Optimization (3 papers), Advanced Surface Polishing Techniques (3 papers), Soft Robotics and Applications (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (290 citations), Medical Laboratory Technology (15 citations), Control and Systems Engineering (240 citations), Energy Engineering and Power Technology (14 citations) and Management of Technology and Innovation (27 citations). Azfar Khalid has collaborated with scholars based in Pakistan, United Kingdom and Germany. Frequent co-authors include Zeashan Hameed Khan, Jamshed Iqbal, Klaus‐Dieter Thoben, Jürgen Pannek, Samir Mekid, Ghulam Hafeez, Abdul Baseer Qazi, Imran Khan, Muhammad Usman and Zeeshan Shafiq. Their work appears in journals such as Sensors, IEEE Access, International Journal of Computer Integrated Manufacturing, Journal of Micromechanics and Microengineering and Computers in Industry.

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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