Ronny Meir

482 total citations
16 papers, 336 citations indexed

About

Ronny Meir is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, Ronny Meir has authored 16 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 3 papers in Control and Systems Engineering. Recurrent topics in Ronny Meir's work include Neural Networks and Applications (13 papers), Machine Learning and Algorithms (6 papers) and Statistical Mechanics and Entropy (3 papers). Ronny Meir is often cited by papers focused on Neural Networks and Applications (13 papers), Machine Learning and Algorithms (6 papers) and Statistical Mechanics and Entropy (3 papers). Ronny Meir collaborates with scholars based in Israel, Brazil and United States. Ronny Meir's co-authors include Eytan Domany, Pierre Baldi, Assaf Zeevi, Neri Merhav, J. Alspector, Robert B. Allen, José F. Fontanari, Joel Ratsaby and Vitaly Maiorov and has published in prestigious journals such as Physical Review Letters, Neural Computation and Neural Networks.

In The Last Decade

Ronny Meir

16 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronny Meir Israel	10	242	119	59	51	41	16	336
Alessandro Ingrosso Italy	8	160 0.7×	136 1.1×	45 0.8×	58 1.1×	27 0.7×	14	341
Andreas Engel Germany	5	167 0.7×	73 0.6×	41 0.7×	90 1.8×	53 1.3×	7	350
Timothy L. H. Watkin United Kingdom	8	409 1.7×	78 0.7×	24 0.4×	156 3.1×	61 1.5×	12	484
Albrecht Rau United Kingdom	7	362 1.5×	69 0.6×	32 0.5×	128 2.5×	43 1.0×	14	415
Nicolas Hohn Australia	10	208 0.9×	47 0.4×	89 1.5×	112 2.2×	11 0.3×	15	526
Kamiar Rahnama Rad United States	10	87 0.4×	169 1.4×	40 0.7×	66 1.3×	15 0.4×	20	349
Tomoko Ozeki Japan	8	176 0.7×	38 0.3×	14 0.2×	50 1.0×	59 1.4×	18	253
Gerald Myerson Australia	10	96 0.4×	77 0.6×	45 0.8×	18 0.4×	65 1.6×	25	341
Türker Bı́yı́koğlu Türkiye	11	79 0.3×	39 0.3×	21 0.4×	105 2.1×	199 4.9×	22	541
Jeanne Rubner Germany	3	190 0.8×	73 0.6×	16 0.3×	12 0.2×	80 2.0×	5	276

Countries citing papers authored by Ronny Meir

Since Specialization

Citations

This map shows the geographic impact of Ronny Meir'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 Ronny Meir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronny Meir more than expected).

Fields of papers citing papers by Ronny Meir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronny Meir. 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 Ronny Meir. The network helps show where Ronny Meir may publish in the future.

Co-authorship network of co-authors of Ronny Meir

This figure shows the co-authorship network connecting the top 25 collaborators of Ronny Meir. A scholar is included among the top collaborators of Ronny Meir 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 Ronny Meir. Ronny Meir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Zeevi, Assaf & Ronny Meir. (1997). Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds. Neural Networks. 10(1). 99–109. 56 indexed citations

Ratsaby, Joel, Ronny Meir, & Vitaly Maiorov. (1996). Towards robust model selection using estimation and approximation error bounds. 57–67. 6 indexed citations

Meir, Ronny & Neri Merhav. (1995). On the stochastic complexity of learning realizable and unrealizable rules. Machine Learning. 19(3). 241–261. 5 indexed citations

Meir, Ronny & Neri Merhav. (1995). On the Stochastic Complexity of Learning Realizable and Unrealizable Rules. Machine Learning. 19(3). 241–261. 9 indexed citations

Meir, Ronny. (1995). Empirical Risk Minimization versus Maximum-Likelihood Estimation: A Case Study. Neural Computation. 7(1). 144–157. 15 indexed citations

Meir, Ronny. (1994). Bias, Variance and the Combination of Least Squares Estimators. Neural Information Processing Systems. 7. 295–302. 19 indexed citations

Meir, Ronny & José F. Fontanari. (1993). Data compression and prediction in neural networks. Physica A Statistical Mechanics and its Applications. 200(1-4). 644–654. 7 indexed citations

Meir, Ronny & José F. Fontanari. (1992). On learning noisy threshold functions with finite precision weights. 2. 280–286. 1 indexed citations

Meir, Ronny. (1991). ON DERIVING DETERMINISTIC LEARNING RULES FROM STOCHASTIC SYSTEMS. International Journal of Neural Systems. 2(4). 283–289. 3 indexed citations

10.

Alspector, J., et al.. (1990). Relaxation Networks for Large Supervised Learning Problems. Neural Information Processing Systems. 3. 1015–1021. 24 indexed citations

11.

Baldi, Pierre & Ronny Meir. (1990). Computing with Arrays of Coupled Oscillators: An Application to Preattentive Texture Discrimination. Neural Computation. 2(4). 458–471. 80 indexed citations

12.

Meir, Ronny, et al.. (1988). Learning by Choice of Internal Representations. Complex Systems. 1(5). 555–575. 16 indexed citations

13.

Meir, Ronny & Eytan Domany. (1988). Layered feed-forward neural network with exactly soluble dynamics. Physical review. A, General physics. 37(2). 608–618. 29 indexed citations

14.

Meir, Ronny. (1988). Extensions of a solvable feed forward neural network. Journal de physique. 49(2). 201–213. 7 indexed citations

15.

Meir, Ronny & Eytan Domany. (1988). Iterated learning in a layered feed-forward neural network. Physical review. A, General physics. 37(7). 2660–2668. 9 indexed citations

16.

Meir, Ronny & Eytan Domany. (1987). Exact solution of a layered neural network model. Physical Review Letters. 59(3). 359–362. 50 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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