Arif Ullah

416 total citations
19 papers, 209 citations indexed

About

Arif Ullah is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Arif Ullah has authored 19 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atomic and Molecular Physics, and Optics, 4 papers in Artificial Intelligence and 3 papers in Materials Chemistry. Recurrent topics in Arif Ullah's work include Spectroscopy and Quantum Chemical Studies (8 papers), Quantum, superfluid, helium dynamics (7 papers) and Machine Learning in Materials Science (3 papers). Arif Ullah is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (8 papers), Quantum, superfluid, helium dynamics (7 papers) and Machine Learning in Materials Science (3 papers). Arif Ullah collaborates with scholars based in China, United States and Pakistan. Arif Ullah's co-authors include Pavlo O. Dral, Alexei A. Kananenka, Xiao Zheng, YiJing Yan, Lina Zhang, Yun‐An Yan, Maxim F. Gelin, Vladimir Chernyak, Fuchun Ge and Olexandr Isayev and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Expert Systems with Applications.

In The Last Decade

Arif Ullah

15 papers receiving 205 citations

Peers

Arif Ullah
Comparison fields: 5 of 49
  • Atomic and Molecular Physics, and Optics 120
  • Materials Chemistry 82
  • Artificial Intelligence 32
  • Molecular Biology 31
  • Computational Theory and Mathematics 31
Replace Xinzijian Liu with:
Xinzijian Liu China
Junjie Yang United States
Tong Jiang China
Olivier Adjoua France
Jeffrey B. Schriber United States
Lea M. Ibele France
Yaling Ke China
Manas Sajjan United States
Jiawei Peng China
Jakub Rydzewski Poland
Xinzijian Liu China View profile →
Citations per field, relative to Arif Ullah
Arif Ullah · 1×
Citations per year, relative to Arif Ullah
Arif Ullah · 1×

Countries citing papers authored by Arif Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Arif Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arif Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Arif Ullah. A scholar is included among the top collaborators of Arif Ullah 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 Ullah. Arif Ullah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 0
3 10
4 35
5 1
6 0
7 5
8 17
9 1
10 16
11 6
12 5
13 6
14 19
15 35
16 29
17 18
18 6
19 0

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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