Benjamin Hackl

535 total citations
12 papers, 375 citations indexed

About

Benjamin Hackl is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Benjamin Hackl has authored 12 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mathematical Physics, 5 papers in Computational Theory and Mathematics and 3 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Benjamin Hackl's work include Stochastic processes and statistical mechanics (3 papers), Advanced Combinatorial Mathematics (3 papers) and Numerical methods in inverse problems (3 papers). Benjamin Hackl is often cited by papers focused on Stochastic processes and statistical mechanics (3 papers), Advanced Combinatorial Mathematics (3 papers) and Numerical methods in inverse problems (3 papers). Benjamin Hackl collaborates with scholars based in Austria, South Africa and Sweden. Benjamin Hackl's co-authors include Martin Burger, Wolfgang Ring, Helmut Prodinger, Clemens Heuberger, Stephan Wagner and Alois Panholzer and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Numerical Analysis and Theoretical Computer Science.

In The Last Decade

Benjamin Hackl

10 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Hackl Austria	4	244	196	152	117	77	12	375
Maatoug Hassine Tunisia	9	130 0.5×	93 0.5×	151 1.0×	59 0.5×	143 1.9×	38	278
E. Taroco Brazil	9	411 1.7×	390 2.0×	221 1.5×	95 0.8×	48 0.6×	20	586
Julien Pommier France	5	157 0.6×	468 2.4×	114 0.8×	198 1.7×	45 0.6×	5	535
Lu Trong Khiem Nguyen Germany	12	91 0.4×	143 0.7×	63 0.4×	61 0.5×	23 0.3×	20	402
Winnifried Wollner Germany	13	70 0.3×	319 1.6×	224 1.5×	391 3.3×	61 0.8×	49	631
L.-E. Andersson Sweden	10	33 0.1×	124 0.6×	127 0.8×	77 0.7×	76 1.0×	21	296
Peter Shi United States	14	82 0.3×	199 1.0×	377 2.5×	47 0.4×	112 1.5×	27	617
Denise Chenais France	12	146 0.6×	174 0.9×	280 1.8×	199 1.7×	66 0.9×	21	428
Matteo Negri Italy	14	53 0.2×	387 2.0×	235 1.5×	131 1.1×	10 0.1×	41	601
A. Ferrer Spain	9	155 0.6×	146 0.7×	86 0.6×	74 0.6×	4 0.1×	19	297

Countries citing papers authored by Benjamin Hackl

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Hackl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Hackl

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

All Works

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12 of 12 papers shown

1.

Hackl, Benjamin, Alois Panholzer, & Stephan Wagner. (2023). The Uncover Process for Random Labeled Trees. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2(4). 861–892.

2.

Hackl, Benjamin, et al.. (2022). Down-step statistics in generalized Dyck paths. Discrete Mathematics & Theoretical Computer Science. vol. 24, no. 1(Combinatorics). 2 indexed citations

3.

Hackl, Benjamin, et al.. (2018). Fringe analysis of plane trees related to cutting and pruning. Aequationes Mathematicae. 92(2). 311–353.

4.

Hackl, Benjamin & Helmut Prodinger. (2018). The necklace process: A generating function approach. Statistics & Probability Letters. 142. 57–61. 1 indexed citations

5.

Hackl, Benjamin, et al.. (2017). Iterative Cutting and Pruning of Planar Trees. 66–72. 1 indexed citations

6.

Hackl, Benjamin, Clemens Heuberger, & Helmut Prodinger. (2017). Reductions of binary trees and lattice paths induced by the register function. Theoretical Computer Science. 705. 31–57. 1 indexed citations

7.

Hackl, Benjamin, et al.. (2016). Asymptotic Expansions in SageMath. 163–165. 1 indexed citations

8.

Hackl, Benjamin, et al.. (2011). Crash Simulation of Roll Formed Parts by Damage Modelling Taking Into Account Preforming Effects. AIP conference proceedings. 2 indexed citations

9.

Hackl, Benjamin. (2007). Methods for Reliable Topology Changes for Perimeter-Regularized Geometric Inverse Problems. SIAM Journal on Numerical Analysis. 45(5). 2201–2227. 5 indexed citations

10.

Burger, Martin, et al.. (2007). Cavity identification in linear elasticity and thermoelasticity. Mathematical Methods in the Applied Sciences. 30(6). 625–647. 20 indexed citations

11.

Burger, Martin, et al.. (2004). Level set methods for geometric inverse problems in linear elasticity. Inverse Problems. 20(3). 673–696. 70 indexed citations

12.

Burger, Martin, Benjamin Hackl, & Wolfgang Ring. (2003). Incorporating topological derivatives into level set methods. Journal of Computational Physics. 194(1). 344–362. 272 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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