Robert Gwadera
- Signal Processing top 5%
- Data Management and Algorithms 5
- Time Series Analysis and Forecasting 2
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- Advanced Database Systems and Queries 7
- Information Systems top 5%
- Data Mining Algorithms and Applications 9
- Web Data Mining and Analysis 3
- Artificial Intelligence top 5%
- Algorithms and Data Compression 6
- Topic Modeling 2
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- Complex Network Analysis Techniques 3
- Co-authors
- Wojciech SzpankowskiMikhail J. AtallahFábio CrestaniGrigorios LoukidesHeikki MannilaAristides GionisMohamed Y. EltabakhMoustafa A. Hammad
- Journals
- Knowledge and Information Systems (2 papers)Frontiers of Computer Science (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Robert Gwadera
23 papers receiving 388 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 169
- Computer Networks and Communications 180
- Information Systems 158
- Artificial Intelligence 219
- Computational Mathematics 3
Countries citing papers authored by Robert Gwadera
This map shows the geographic impact of Robert Gwadera'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 Robert Gwadera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Gwadera more than expected).
Fields of papers citing papers by Robert Gwadera
This network shows the impact of papers produced by Robert Gwadera. 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 Robert Gwadera. The network helps show where Robert Gwadera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Gwadera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2020 | 8 | |
| 3 | 2017 | 8 | |
| 4 | SIAM International Conference on Data Mining (SDM) | 2015 | 70 |
| 5 | 2015 | 3 | |
| 6 | 2014 | 4 | |
| 7 | 2014 | 1 | |
| 8 | 2013 | 10 | |
| 9 | 2012 | 1 | |
| 10 | 2011 | 3 | |
| 11 | 2010 | 1 | |
| 12 | University of Lugano at TREC 2009 Blog Track | 2009 | 2 |
| 13 | 2009 | 5 | |
| 14 | 2009 | 19 | |
| 15 | University of Lugano at TREC 2008 Blog Track | 2008 | 5 |
| 16 | 2008 | 9 | |
| 17 | 2007 | 20 | |
| 18 | 2004 | 80 | |
| 19 | 2004 | 23 | |
| 20 | 2004 | 49 |
About Robert Gwadera
Robert Gwadera is a scholar working on Signal Processing, Information Systems, Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 25 papers that have together received 415 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Advanced Database Systems and Queries (7 papers), Algorithms and Data Compression (6 papers), Data Management and Algorithms (5 papers), Complex Network Analysis Techniques (3 papers), Web Data Mining and Analysis (3 papers), Topic Modeling (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Signal Processing (169 citations), Computer Networks and Communications (180 citations), Information Systems (158 citations), Artificial Intelligence (219 citations) and Computational Mathematics (3 citations). Robert Gwadera has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Wojciech Szpankowski, Mikhail J. Atallah, Fábio Crestani, Grigorios Loukides, Heikki Mannila, Aristides Gionis, Mohamed Y. Eltabakh, Moustafa A. Hammad, Mark Carman and Thanaa M. Ghanem. Their work appears in journals such as Knowledge and Information Systems, Frontiers of Computer Science, Journal of Biomedical Informatics, ACM Transactions on Internet Technology and IEEE Transactions on Knowledge and Data Engineering.
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.