Michael E. Welge
Impact in
Papers in
-
- Data Mining Algorithms and Applications 3
- Data Mining and Machine Learning Applications 2
-
- Gut microbiota and health 6
- Co-authors
- Gek Woo Tan (1 shared paper)Chandrasekar Subramaniam (1 shared paper)Loretta Sue Auvil (18 shared papers)Colleen Bushell (13 shared papers)Xavier Llorà (6 shared papers)David E. Goldberg (4 shared papers)Jiawei Han (1 shared paper)Boris Capitanu (3 shared papers)
- Journals
- Scientific Reports (5 papers)PLoS ONE (2 papers)Integrative Biology (1 paper)The FASEB Journal (1 paper)Genes (1 paper)
- Partner nations
- United StatesBulgariaJapan
In The Last Decade
Michael E. Welge
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Marketing 126
- Genetics 309
- Statistical and Nonlinear Physics 103
- Information Systems 191
- Management Information Systems 69
Countries citing papers authored by Michael E. Welge
This map shows the geographic impact of Michael E. Welge'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 Michael E. Welge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Welge more than expected).
Fields of papers citing papers by Michael E. Welge
This network shows the impact of papers produced by Michael E. Welge. 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 Michael E. Welge. The network helps show where Michael E. Welge may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. Welge, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 453 | |
| 2 | 2001 | 434 | |
| 3 | Adaptive control of chaotic systems | 1990 | 113 |
| 4 | 2004 | 64 | |
| 5 | 2018 | 63 | |
| 6 | 2016 | 62 | |
| 7 | 2008 | 54 | |
| 8 | 2020 | 42 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 33 | |
| 11 | 2003 | 24 | |
| 12 | 2019 | 19 | |
| 13 | 2020 | 19 | |
| 14 | 2006 | 18 | |
| 15 | 2006 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2019 | 12 | |
| 18 | 2020 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2010 | 7 |
About Michael E. Welge
Michael E. Welge is a scholar working on Information Systems, Molecular Biology, Artificial Intelligence, Gastroenterology and Urology, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gut microbiota and health (6 papers), Evolutionary Algorithms and Applications (4 papers), Tuberculosis Research and Epidemiology (3 papers), Data Mining Algorithms and Applications (3 papers), Distributed and Parallel Computing Systems (2 papers), Chaos control and synchronization (2 papers), Data Mining and Machine Learning Applications (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Marketing (126 citations), Genetics (309 citations), Statistical and Nonlinear Physics (103 citations), Information Systems (191 citations) and Management Information Systems (69 citations). Michael E. Welge has collaborated with scholars based in United States, Bulgaria and Japan. Frequent co-authors include Gek Woo Tan, Chandrasekar Subramaniam, Loretta Sue Auvil, Colleen Bushell, Xavier Llorà, David E. Goldberg, Jiawei Han, Boris Capitanu, Ruoqing Zhu and Zeynep Madak‐Erdogan. Their work appears in journals such as Scientific Reports, PLoS ONE, Integrative Biology, The FASEB Journal and Genes.
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.