Arif Mehmood

4.5k total citations · 3 hit papers
87 papers, 2.9k citations indexed

About

Arif Mehmood is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arif Mehmood has authored 87 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 21 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arif Mehmood's work include Sentiment Analysis and Opinion Mining (16 papers), Spam and Phishing Detection (13 papers) and Mosquito-borne diseases and control (8 papers). Arif Mehmood is often cited by papers focused on Sentiment Analysis and Opinion Mining (16 papers), Spam and Phishing Detection (13 papers) and Mosquito-borne diseases and control (8 papers). Arif Mehmood collaborates with scholars based in Pakistan, South Korea and United States. Arif Mehmood's co-authors include Gyu Sang Choi, Saleem Ullah, Furqan Rustam, Imran Ashraf, Muhammad Umer, Waqar Aslam, Byung-Won On, Aijaz Ahmad Reshi, Maqsood Ahmad and Vaibhav Rupapara and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Arif Mehmood

85 papers receiving 2.7k citations

Hit Papers

COVID-19 Future Forecasting Using Supervised Machine Lear... 2020 2026 2022 2024 2020 2021 2020 100 200 300

Peers

Arif Mehmood
Comparison fields: 5 of 156
  • Artificial Intelligence 1.5k
  • Information Systems 617
  • Radiology, Nuclear Medicine and Imaging 494
  • Sociology and Political Science 481
  • Computer Vision and Pattern Recognition 293
Replace Saleem Ullah with:
Saleem Ullah Pakistan
Furqan Rustam Pakistan
Gyu Sang Choi South Korea
A. H. Alamoodi Iraq
Mamta Mittal India
Muhammad Umer Pakistan
Aytuğ Onan Türkiye
Mabrook Al‐Rakhami Saudi Arabia
Rahul Katarya India
Senthilkumar Mohan India
Saleem Ullah Pakistan View profile →
Citations per field, relative to Arif Mehmood
Arif Mehmood · 1×
Citations per year, relative to Arif Mehmood
Arif Mehmood · 1×

Countries citing papers authored by Arif Mehmood

Since Specialization
Citations

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

Fields of papers citing papers by Arif Mehmood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arif Mehmood

This figure shows the co-authorship network connecting the top 25 collaborators of Arif Mehmood. A scholar is included among the top collaborators of Arif Mehmood 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 Arif Mehmood. Arif Mehmood 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
# Work Indexed citations
1 10
2 2
3 4
4 15
5 54
6 1
7 4
8 34
9 4
10 78
11 20
12 9
13 127
14 35
15 70
16 1
17
COVID-19 Future Forecasting Using Supervised Machine Learning Models breakdown →
330
18 20
19 121
20 11

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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