B. Igelnik

1.4k total citations · 1 hit paper
19 papers, 1.0k citations indexed

About

B. Igelnik is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, B. Igelnik has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Materials Chemistry. Recurrent topics in B. Igelnik's work include Neural Networks and Applications (10 papers), X-ray Diffraction in Crystallography (3 papers) and Image and Signal Denoising Methods (2 papers). B. Igelnik is often cited by papers focused on Neural Networks and Applications (10 papers), X-ray Diffraction in Crystallography (3 papers) and Image and Signal Denoising Methods (2 papers). B. Igelnik collaborates with scholars based in United States, Israel and Japan. B. Igelnik's co-authors include Yoh‐Han Pao, Steven R. LeClair, Y.-H. Pao, Nidhi Parikh, Jinyan Li, Yaakov Kogan, E. G. Coffman, P. Villars, Shuichi Iwata and Klaus Brandenburg and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Alloys and Compounds and Applied Mathematics and Computation.

In The Last Decade

B. Igelnik

19 papers receiving 994 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stochastic choice of basis functions in adaptive function approximation and the functional-link net

1995 725 citations B. Igelnik, Yoh‐Han Pao IEEE Transactions on Neural Networks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
B. Igelnik United States	10	651	251	240	173	138	19	1.0k
Guoliang He China	16	579 0.9×	114 0.5×	106 0.4×	94 0.5×	219 1.6×	61	1.0k
Kumara Sastry United States	25	1.2k 1.9×	117 0.5×	83 0.3×	98 0.6×	525 3.8×	67	1.7k
Youhei Akimoto Japan	19	395 0.6×	104 0.4×	157 0.7×	46 0.3×	209 1.5×	98	1.3k
Chyi‐Tsong Chen Taiwan	17	236 0.4×	449 1.8×	50 0.2×	83 0.5×	145 1.1×	45	913
Yixiang Chen China	21	208 0.3×	176 0.7×	151 0.6×	141 0.8×	133 1.0×	127	1.5k
Tommaso Addabbo Italy	19	179 0.3×	118 0.5×	326 1.4×	568 3.3×	185 1.3×	123	1.2k
Bhavya Kailkhura United States	19	587 0.9×	132 0.5×	116 0.5×	243 1.4×	72 0.5×	73	1.3k
Shuting Cai China	18	230 0.4×	79 0.3×	665 2.8×	168 1.0×	128 0.9×	124	1.2k
Bin-Da Liu Taiwan	24	381 0.6×	143 0.6×	466 1.9×	784 4.5×	65 0.5×	167	1.8k
Wai‐Kai Chen United States	16	192 0.3×	173 0.7×	100 0.4×	756 4.4×	179 1.3×	149	1.5k

Countries citing papers authored by B. Igelnik

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of B. Igelnik

This figure shows the co-authorship network connecting the top 25 collaborators of B. Igelnik. A scholar is included among the top collaborators of B. Igelnik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B. Igelnik. B. Igelnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Igelnik, B. & Dan Simon. (2011). The eigenvalues of a tridiagonal matrix in biogeography. Applied Mathematics and Computation. 218(1). 195–201. 8 indexed citations

Igelnik, B. & Yoh‐Han Pao. (2005). Additional perspectives on feedforward neural-nets and the functional-link. 3. 2284–2287. 4 indexed citations

Igelnik, B. & Nidhi Parikh. (2003). Kolmogorov's spline network. IEEE Transactions on Neural Networks. 14(4). 725–733. 34 indexed citations

Igelnik, B. & Yoh‐Han Pao. (2002). Estimation of size of hidden layer on basis of bound of generalization error. 4. 1923–1927. 2 indexed citations

Igelnik, B., Massood Tabib‐Azar, & Steven R. LeClair. (2001). A net with complex weights. IEEE Transactions on Neural Networks. 12(2). 236–249. 13 indexed citations

Villars, P., Klaus Brandenburg, M. Berndt, et al.. (2001). Binary, ternary and quaternary compound former/nonformer prediction via Mendeleev number. Journal of Alloys and Compounds. 317-318. 26–38. 63 indexed citations

Igelnik, B.. (2001). <title>Method for visualization of multivariate data in a lower dimension</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4302. 168–179. 3 indexed citations

Villars, P., Klaus Brandenburg, M. Berndt, et al.. (2000). Interplay of large materials databases, semi-empirical methods, neuro-computing and first principle calculations for ternary compound former/nonformer prediction. Engineering Applications of Artificial Intelligence. 13(5). 497–505. 15 indexed citations

Igelnik, B., et al.. (1999). The ensemble approach to neural-network learning and generalization. IEEE Transactions on Neural Networks. 10(1). 19–30. 47 indexed citations

10.

Igelnik, B., Massood Tabib‐Azar, Y.-H. Pao, & Steven R. LeClair. (1999). A quantum neural net: with applications to materials science. 367–374 vol.1. 1 indexed citations

11.

Meng, Zhuo‐Xian, et al.. (1998). Combined use of computational intelligence and materials data for on-line monitoring and control of MBE experiments. Engineering Applications of Artificial Intelligence. 11(5). 587–595. 4 indexed citations

12.

Pao, Y.-H., Zhuo‐Xian Meng, Steven R. LeClair, & B. Igelnik. (1998). Materials discovery via topologically-correct display of reduced-dimension data. Journal of Alloys and Compounds. 279(1). 22–29. 4 indexed citations

13.

Busbee, John, B. Igelnik, David Liptak, Rand R. Biggers, & I. Maartense. (1998). Towards in situ monitoring of YBCO Tc and Jc via neural network mapping of Raman spectral peaks. Engineering Applications of Artificial Intelligence. 11(5). 637–647. 4 indexed citations

14.

Li, Jinyan, et al.. (1997). Comments on "Stochastic choice of basis functions in adaptive function approximation and the functional-link net" [with reply]. IEEE Transactions on Neural Networks. 8(2). 452–454. 58 indexed citations

15.

Pao, Yoh‐Han, et al.. (1996). Neural-net computing for interpretation of semiconductor film optical ellipsometry parameters. IEEE Transactions on Neural Networks. 7(4). 816–829. 9 indexed citations

16.

Igelnik, B. & Yoh‐Han Pao. (1995). A stochastic optimization algorithm for neural net learning. 29–34. 1 indexed citations

17.

Igelnik, B. & Yoh‐Han Pao. (1995). Stochastic choice of basis functions in adaptive function approximation and the functional-link net. IEEE Transactions on Neural Networks. 6(6). 1320–1329. 725 indexed citations breakdown →

18.

Igelnik, B., et al.. (1995). A new computational approach for stochastic fluid models of multiplexers with heterogeneous sources. Queueing Systems. 20(1-2). 85–116. 12 indexed citations

19.

Coffman, E. G., B. Igelnik, & Yaakov Kogan. (1991). Controlled stochastic model of a communication system with multiple sources. IEEE Transactions on Information Theory. 37(5). 1379–1387. 24 indexed citations

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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