Ali Arab

51 papers receiving 639 citations

Peers

Ali Arab
Comparison fields: 5 of 125
  • Ecological Modeling 95
  • Modeling and Simulation 55
  • Safety, Risk, Reliability and Quality 74
  • Nature and Landscape Conservation 88
  • Statistics and Probability 44
Replace Marco A. R. Ferreira with:
Marco A. R. Ferreira United States
Tilman M. Davies New Zealand
Elina Numminen Finland
Jike Liu China
Barbara Bailey United States
Moudud Alam Sweden
Nedialko B. Dimitrov United States
Fangyu Ding China
Brandon Greenwell United States
Albrecht Gebhardt Austria
Ali Arab relative to Marco A. R. Ferreira United States Marco A. R. Ferreira's profile →
Citations per field
00.5×3.2×
Marco A. R. Ferreira · 1×
Citations per year

Countries citing papers authored by Ali Arab

Since Specialization
Citations

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

Fields of papers citing papers by Ali Arab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2 201457
3 202055
4 201550
5 201139
6 200837
7 201635
8 201431
9 201819
10 201416
11 201215
12 202414
13 201114
14 202414
15 201113
16 202312
17 201511
18 201511
19 202410
20 201410

About Ali Arab

Ali Arab is a scholar working on Ecology, Nature and Landscape Conservation, Ecological Modeling, Statistics and Probability and Epidemiology, having authored 52 papers that have together received 665 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (6 papers), Reliability and Maintenance Optimization (5 papers), Wildlife Ecology and Conservation (5 papers), Fish Ecology and Management Studies (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Statistical Methods and Bayesian Inference (4 papers), COVID-19 epidemiological studies (4 papers) and Water Quality and Resources Studies (3 papers). The work is most often cited by research in Ecological Modeling (95 citations), Modeling and Simulation (55 citations), Safety, Risk, Reliability and Quality (74 citations), Nature and Landscape Conservation (88 citations) and Statistics and Probability (44 citations). Ali Arab has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Mark L. Wildhaber, Cezar Kongoli, Monica Jackson, Qianmei Feng, Christopher K. Wikle, Napsiah Ismail, Lai Soon Lee, Suresh K. Khator, Zhu Han and Amin Khodaei. Their work appears in journals such as Journal of low frequency noise, vibration and active control, Scientific Reports, The International Journal of Advanced Manufacturing Technology, River Research and Applications and Geospatial health.

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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