Neculai Andrei

2.7k total citations · 1 hit paper
48 papers, 1.8k citations indexed

About

Neculai Andrei is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Neculai Andrei has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Numerical Analysis, 33 papers in Computational Theory and Mathematics and 19 papers in Computational Mechanics. Recurrent topics in Neculai Andrei's work include Advanced Optimization Algorithms Research (42 papers), Iterative Methods for Nonlinear Equations (21 papers) and Sparse and Compressive Sensing Techniques (19 papers). Neculai Andrei is often cited by papers focused on Advanced Optimization Algorithms Research (42 papers), Iterative Methods for Nonlinear Equations (21 papers) and Sparse and Compressive Sensing Techniques (19 papers). Neculai Andrei collaborates with scholars based in Romania, United States and Germany. Neculai Andrei's co-authors include Malaysian Mathematical and has published in prestigious journals such as European Journal of Operational Research, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

In The Last Decade

Neculai Andrei

46 papers receiving 1.7k citations

Hit Papers

An Unconstrained Optimization Test Functions Collection 2008 2026 2014 2020 2008 100 200 300
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.

  1. An Unconstrained Optimization Test Functions Collection
    2008 397 citations Neculai Andrei profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neculai Andrei Romania 26 1.5k 881 688 211 170 48 1.8k
Zengxin Wei China 24 1.6k 1.1× 936 1.1× 760 1.1× 220 1.0× 156 0.9× 69 1.9k
Gonglin Yuan China 25 1.6k 1.1× 824 0.9× 949 1.4× 300 1.4× 106 0.6× 104 2.1k
Wenyu Sun China 14 870 0.6× 669 0.8× 422 0.6× 212 1.0× 197 1.2× 69 1.4k
Sandra A. Santos Brazil 20 782 0.5× 703 0.8× 431 0.6× 188 0.9× 138 0.8× 68 1.2k
Jinyun Yuan Brazil 19 598 0.4× 599 0.7× 588 0.9× 107 0.5× 237 1.4× 84 1.5k
Mohammed Yusuf Waziri Nigeria 19 763 0.5× 264 0.3× 452 0.7× 77 0.4× 69 0.4× 107 1.1k
Auwal Bala Abubakar Nigeria 23 1.0k 0.7× 388 0.4× 824 1.2× 49 0.2× 71 0.4× 96 1.4k
Jinyan Fan China 16 510 0.3× 391 0.4× 193 0.3× 70 0.3× 69 0.4× 55 873
Frank E. Curtis United States 20 532 0.4× 397 0.5× 374 0.5× 271 1.3× 225 1.3× 63 1.0k
A. F. Izmailov Russia 21 1.1k 0.7× 1.0k 1.2× 164 0.2× 34 0.2× 261 1.5× 114 1.3k

Countries citing papers authored by Neculai Andrei

Since Specialization
Citations

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

Fields of papers citing papers by Neculai Andrei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neculai Andrei

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

All Works

20 of 20 papers shown
1.
Andrei, Neculai. (2021). A note on memory-less SR1 and memory-less BFGS methods for large-scale unconstrained optimization. Numerical Algorithms. 90(1). 223–240. 4 indexed citations
2.
3.
Andrei, Neculai. (2020). Diagonal Approximation of the Hessian by Finite Differences for Unconstrained Optimization. Journal of Optimization Theory and Applications. 185(3). 859–879. 4 indexed citations
4.
Andrei, Neculai. (2018). A Double-Parameter Scaling Broyden–Fletcher–Goldfarb–Shanno Method Based on Minimizing the Measure Function of Byrd and Nocedal for Unconstrained Optimization. Journal of Optimization Theory and Applications. 178(1). 191–218. 4 indexed citations
5.
6.
Andrei, Neculai. (2017). Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update. Journal of Computational and Applied Mathematics. 325. 149–164. 28 indexed citations
7.
Andrei, Neculai. (2017). A double parameter scaled BFGS method for unconstrained optimization. Journal of Computational and Applied Mathematics. 332. 26–44. 19 indexed citations
8.
Andrei, Neculai. (2015). An adaptive conjugate gradient algorithm for large-scale unconstrained optimization. Journal of Computational and Applied Mathematics. 292. 83–91. 30 indexed citations
9.
Andrei, Neculai. (2013). An accelerated subspace minimization three-term conjugate gradient algorithm for unconstrained optimization. Numerical Algorithms. 65(4). 859–874. 32 indexed citations
10.
Andrei, Neculai. (2013). On three-term conjugate gradient algorithms for unconstrained optimization. Applied Mathematics and Computation. 219(11). 6316–6327. 48 indexed citations
11.
Andrei, Neculai. (2012). A simple three-term conjugate gradient algorithm for unconstrained optimization. Journal of Computational and Applied Mathematics. 241. 19–29. 65 indexed citations
12.
Andrei, Neculai. (2010). New accelerated conjugate gradient algorithms as a modification of Dai–Yuan’s computational scheme for unconstrained optimization. Journal of Computational and Applied Mathematics. 234(12). 3397–3410. 30 indexed citations
13.
Andrei, Neculai. (2010). An accelerated conjugate gradient algorithm with guaranteed descent and conjugacy conditions for unconstrained optimization. Optimization methods & software. 27(4-5). 583–604. 3 indexed citations
14.
Andrei, Neculai. (2009). Accelerated conjugate gradient algorithm with finite difference Hessian/vector product approximation for unconstrained optimization. Journal of Computational and Applied Mathematics. 230(2). 570–582. 26 indexed citations
15.
Andrei, Neculai. (2008). Hybrid Conjugate Gradient Algorithm for Unconstrained Optimization. Journal of Optimization Theory and Applications. 141(2). 249–264. 72 indexed citations
16.
Andrei, Neculai. (2008). Another nonlinear conjugate gradient algorithm for unconstrained optimization. Optimization methods & software. 24(1). 89–104. 14 indexed citations
17.
Andrei, Neculai. (2007). A Dai–Yuan conjugate gradient algorithm with sufficient descent and conjugacy conditions for unconstrained optimization. Applied Mathematics Letters. 21(2). 165–171. 31 indexed citations
18.
Andrei, Neculai. (2006). A scaled BFGS preconditioned conjugate gradient algorithm for unconstrained optimization. Applied Mathematics Letters. 20(6). 645–650. 63 indexed citations
19.
Andrei, Neculai. (2004). ON THE COMPLEXITY OF MINOS PACKAGE FOR LINEAR PROGRAMMING. 1 indexed citations
20.
Andrei, Neculai. (1985). Sparse systems: Digraph approach of large-scale linear systems theory. Medical Entomology and Zoology. 6 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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