Adel Mohammadpour

490 citations
73 papers · 350 · h-index 10

Impact in

Papers in

    • Bayesian Methods and Mixture Models 12
    • Advanced Clustering Algorithms Research 7
    • Statistical Distribution Estimation and Applications 14
    • Advanced Statistical Methods and Models 10
    • Statistical Methods and Inference 6

Adel Mohammadpour

63 papers receiving 326 citations

Peers

Adel Mohammadpour
Comparison fields: 5 of 103
  • Medical Laboratory Technology 19
  • Statistics and Probability 96
  • Statistics, Probability and Uncertainty 59
  • Finance 42
  • Management Science and Operations Research 43
Replace Nicholas R. Farnum with:
Nicholas R. Farnum United States
Ismail Shah Pakistan
Mohammed Albassam Saudi Arabia
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Gholamhossein Yari Iran
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Citations per field
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Citations per year

Countries citing papers authored by Adel Mohammadpour

Since Specialization
Citations

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

Fields of papers citing papers by Adel Mohammadpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201625
2 201324
3 201920
4 201715
5 201415
6 202014
7 201810
8 200410
9 201410
10 201210
11 20189
12 20179
13 20159
14 20189
15 20168
16 20138
17 20208
18 20097
19 20187
20 20236

About Adel Mohammadpour

Adel Mohammadpour is a scholar working on Artificial Intelligence, Statistics and Probability, Statistics, Probability and Uncertainty, Finance and Management Science and Operations Research, having authored 73 papers that have together received 350 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (14 papers), Bayesian Methods and Mixture Models (12 papers), Advanced Statistical Methods and Models (10 papers), Financial Risk and Volatility Modeling (7 papers), Advanced Clustering Algorithms Research (7 papers), Statistical Methods and Inference (6 papers), Probabilistic and Robust Engineering Design (6 papers) and Complex Systems and Time Series Analysis (5 papers). The work is most often cited by research in Medical Laboratory Technology (19 citations), Statistics and Probability (96 citations), Statistics, Probability and Uncertainty (59 citations), Finance (42 citations) and Management Science and Operations Research (43 citations). Adel Mohammadpour has collaborated with scholars based in Iran, United States and Slovakia. Frequent co-authors include Ebrahim Karan, Chimay Anumba, Mohammad Mohammadi, John Messner, Saralees Nadarajah, Vahid Nassiri, Mahdi Teimouri, Hamzeh Agahi, Somayeh Asadi and Majid Aminnayeri. Their work appears in journals such as Information Sciences, Fractals, Applied Energy, Soft Computing and Knowledge-Based Systems.

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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