B. Igelnik
Impact in
- Artificial Intelligence top 2%
- Machine Learning and ELM
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
-
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
Papers in
-
- Neural Networks and Applications 12
- Advanced Clustering Algorithms Research 2
- Machine Learning and ELM 2
-
- Time Series Analysis and Forecasting 2
- Co-authors
- Yoh‐Han Pao (6 shared papers)Steven R. LeClair (7 shared papers)Y.-H. Pao (4 shared papers)Jinyan Li (1 shared paper)Yaakov Kogan (2 shared papers)E. G. Coffman (1 shared paper)M. Berndt (2 shared papers)Allen G. Jackson (2 shared papers)
- Journals
- Engineering Applications of Artificial Intelligence (3 papers)Journal of Alloys and Compounds (2 papers)Applied Mathematics and Computation (1 paper)IEEE Transactions on Information Theory (1 paper)Queueing Systems (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
B. Igelnik
23 papers receiving 1.1k citations
B. Igelnik's Hit Papers
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 593
- Control and Systems Engineering 183
- Computational Theory and Mathematics 96
- Statistical and Nonlinear Physics 36
- Computational Mathematics 2
Countries citing papers authored by B. Igelnik
This map shows the geographic impact of B. Igelnik'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 B. Igelnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Igelnik more than expected).
Fields of papers citing papers by B. Igelnik
This network shows the impact of papers produced by B. Igelnik. 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 B. Igelnik. The network helps show where B. Igelnik may publish in the future.
Co-authors
The 22 scholars most cited alongside B. Igelnik, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stochastic choice of basis functions in adaptive function approximation and the functional-link net Hit paper breakdown → | 1995 | 792 |
| 2 | 2001 | 69 | |
| 3 | 2003 | 60 | |
| 4 | 1997 | 59 | |
| 5 | 1999 | 54 | |
| 6 | 1991 | 26 | |
| 7 | 2001 | 19 | |
| 8 | 2000 | 18 | |
| 9 | 1995 | 13 | |
| 10 | 1996 | 10 | |
| 11 | 2011 | 10 | |
| 12 | 2005 | 6 | |
| 13 | 2009 | 5 | |
| 14 | 1998 | 4 | |
| 15 | 1998 | 4 | |
| 16 | 1998 | 4 | |
| 17 | 2001 | 3 | |
| 18 | 2004 | 3 | |
| 19 | 2002 | 2 | |
| 20 | 1995 | 1 |
About B. Igelnik
B. Igelnik is a scholar working on Artificial Intelligence, Signal Processing, Management Information Systems, Materials Chemistry and Computational Theory and Mathematics, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Machine Learning in Materials Science (4 papers), Advanced Queuing Theory Analysis (2 papers), Advanced Clustering Algorithms Research (2 papers), Time Series Analysis and Forecasting (2 papers), Machine Learning and ELM (2 papers), Data Visualization and Analytics (2 papers) and Optical Polarization and Ellipsometry (2 papers). The work is most often cited by research in Artificial Intelligence (593 citations), Control and Systems Engineering (183 citations), Computational Theory and Mathematics (96 citations), Statistical and Nonlinear Physics (36 citations) and Computational Mathematics (2 citations). B. Igelnik has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Yoh‐Han Pao, Steven R. LeClair, Y.-H. Pao, Jinyan Li, Yaakov Kogan, E. G. Coffman, M. Berndt, Allen G. Jackson, Shuichi Iwata and Klaus Brandenburg. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Journal of Alloys and Compounds, Applied Mathematics and Computation, IEEE Transactions on Information Theory and Queueing 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.