Moudud Alam
Impact in
- Small Animals top 10%
- Animal Behavior and Welfare Studies
Papers in
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- Geriatric Care and Nursing Homes 4
-
- Infrastructure Maintenance and Monitoring 5
- Co-authors
- Lars Rönnegård (9 shared papers)Xia Shen (4 shared papers)Anna Skarin (8 shared papers)W.F. Fikse (1 shared paper)Per Sandström (4 shared papers)Jerker Westin (5 shared papers)Anne‐Marie Boström (7 shared papers)Lena Marmstål Hammar (7 shared papers)
- Journals
- Ecology and Evolution (3 papers)The R Journal (2 papers)International Journal of Pavement Engineering (2 papers)BMC Geriatrics (2 papers)Journal of Statistical Computation and Simulation (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Moudud Alam
44 papers receiving 605 citations
Peers
Comparison fields: 5 of 137
- Ecological Modeling 19
- Small Animals 31
- Statistics and Probability 33
- Neurology 52
- Genetics 101
Countries citing papers authored by Moudud Alam
This map shows the geographic impact of Moudud Alam'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 Moudud Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moudud Alam more than expected).
Fields of papers citing papers by Moudud Alam
This network shows the impact of papers produced by Moudud Alam. 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 Moudud Alam. The network helps show where Moudud Alam may publish in the future.
Co-authors
The 25 scholars most cited alongside Moudud Alam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 115 | |
| 2 | 2013 | 74 | |
| 3 | 2018 | 54 | |
| 4 | 2018 | 50 | |
| 5 | 2017 | 40 | |
| 6 | 2015 | 28 | |
| 7 | 2020 | 24 | |
| 8 | 2017 | 22 | |
| 9 | 2019 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2022 | 16 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 11 | |
| 14 | Review of the literature on credit risk modeling: development of the past 10 years | 2017 | 10 |
| 15 | 2022 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2021 | 7 |
About Moudud Alam
Moudud Alam is a scholar working on General Health Professions, Civil and Structural Engineering, Small Animals, Ecology and Artificial Intelligence, having authored 47 papers that have together received 615 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (5 papers), Infrastructure Maintenance and Monitoring (5 papers), Wildlife Ecology and Conservation (4 papers), Geriatric Care and Nursing Homes (4 papers), Bayesian Methods and Mixture Models (4 papers), Soil Geostatistics and Mapping (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Geophysical Methods and Applications (3 papers). The work is most often cited by research in Ecological Modeling (19 citations), Small Animals (31 citations), Statistics and Probability (33 citations), Neurology (52 citations) and Genetics (101 citations). Moudud Alam has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Lars Rönnegård, Xia Shen, Anna Skarin, W.F. Fikse, Per Sandström, Jerker Westin, Anne‐Marie Boström, Lena Marmstål Hammar, Dag Nyholm and Ilias Thomas. Their work appears in journals such as Ecology and Evolution, The R Journal, International Journal of Pavement Engineering, BMC Geriatrics and Journal of Statistical Computation and Simulation.
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.