Khalid Mahmood Arif

3.1k citations
74 papers · 2.1k indexed · 2 hit papers · h-index 22
Topics
Additive Manufacturing and 3D Printing Technologies (18 papers)Smart Agriculture and AI (9 papers)Manufacturing Process and Optimization (7 papers)

In The Last Decade

Khalid Mahmood Arif

69 papers receiving 2.0k citations

Hit Papers

Plant Disease Detection and Classification by Deep Learning201920262021202320192021100200300400

Peers

Khalid Mahmood Arif
Comparison fields: 5 of 137
  • Plant Science 1.1k
  • Automotive Engineering 450
  • Biomedical Engineering 400
  • Analytical Chemistry 369
  • Ecology 214
Replace Pilar Barreiro Elorza with:
Pilar Barreiro Elorza Spain
Tony E. Grift United States
Xinqing Xiao China
C. Igathinathane United States
Morteza Sadeghi Iran
Mohammad Hossein Abbaspour‐Fard Iran
Ahmad Jahanbakhshi Iran
Amin Taheri‐Garavand Iran
Lei Zhou China
Ronnie Concepcion Philippines
Khalid Mahmood Arif relative to Pilar Barreiro Elorza Spain Pilar Barreiro Elorza's profile →
Citations per field
00.5×4.6×
Pilar Barreiro Elorza · 1×
Citations per year

Countries citing papers authored by Khalid Mahmood Arif

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Mahmood Arif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khalid Mahmood Arif

This figure shows the co-authorship network connecting the top 25 collaborators of Khalid Mahmood Arif. A scholar is included among the top collaborators of Khalid Mahmood Arif 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 Khalid Mahmood Arif. Khalid Mahmood Arif 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 2
2 4
3 11
4 4
5 3
6 23
7 1
8 32
9 12
10 9
11 6
12 28
13 64
14 14
15 6
16 169
17 31
18 1
19 1
20 4

About Khalid Mahmood Arif

Khalid Mahmood Arif is a scholar working on Automotive Engineering, Bioengineering and Industrial and Manufacturing Engineering, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (18 papers), Smart Agriculture and AI (9 papers) and Manufacturing Process and Optimization (7 papers). The work is most often cited by research in Analytical Chemistry (369 citations), Automotive Engineering (450 citations) and Plant Science (1.1k citations). Khalid Mahmood Arif has collaborated with scholars based in New Zealand, Pakistan and United States. Frequent co-authors include Johan Potgieter, Muhammad Hammad Saleem, Muhammad Harris, Richard Archer, Sudip Ray, Frazer Noble, A. Shaukat, Fakhrul Alam, Steven Dirven and Munawar Iqbal. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.

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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