Ben Criger

467 total citations
11 papers, 253 citations indexed

About

Ben Criger is a scholar working on Artificial Intelligence, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ben Criger has authored 11 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ben Criger's work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (6 papers) and Quantum-Dot Cellular Automata (3 papers). Ben Criger is often cited by papers focused on Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (6 papers) and Quantum-Dot Cellular Automata (3 papers). Ben Criger collaborates with scholars based in Netherlands, Germany and Canada. Ben Criger's co-authors include Koen Bertels, Imran Ashraf, Raymond Laflamme, Barbara M. Terhal, Paul Baireuther, C. W. J. Beenakker, Thomas E. O’Brien, Daniel K. Park, Gina Passante and Lingling Lao and has published in prestigious journals such as Physical Review A, Science Advances and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Ben Criger

11 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Criger Netherlands	9	227	95	89	36	34	11	253
Patrick Rall United States	9	322 1.4×	82 0.9×	192 2.2×	35 1.0×	22 0.6×	13	383
Zhengbing Bian Canada	5	193 0.9×	82 0.9×	43 0.5×	38 1.1×	19 0.6×	12	223
Richard Rines United States	4	252 1.1×	46 0.5×	174 2.0×	29 0.8×	14 0.4×	4	318
Matthias F. Brandl Austria	4	237 1.0×	39 0.4×	162 1.8×	31 0.9×	14 0.4×	8	300
Dmitry Gavinsky United States	9	176 0.8×	108 1.1×	53 0.6×	17 0.5×	15 0.4×	27	208
Chao‐Hua Yu China	12	409 1.8×	116 1.2×	169 1.9×	17 0.5×	10 0.3×	20	436
Bibek Pokharel United States	7	264 1.2×	23 0.2×	195 2.2×	28 0.8×	10 0.3×	14	318
Shumpei Uno Japan	7	213 0.9×	46 0.5×	81 0.9×	22 0.6×	5 0.1×	20	272
Adam Paetznick United States	5	250 1.1×	99 1.0×	116 1.3×	35 1.0×	8 0.2×	5	276
Vincent E. Elfving United Kingdom	9	264 1.2×	39 0.4×	150 1.7×	50 1.4×	6 0.2×	22	320

Countries citing papers authored by Ben Criger

Since Specialization

Citations

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

Fields of papers citing papers by Ben Criger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Criger

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

All Works

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11 of 11 papers shown

1.

Wang, Yang, Justin A. Gerber, Kevin Gilmore, et al.. (2024). Fault-tolerant one-bit addition with the smallest interesting color code. Science Advances. 10(29). eado9024–eado9024. 16 indexed citations

2.

Lao, Lingling & Ben Criger. (2022). Magic state injection on the rotated surface code. 113–120. 7 indexed citations

3.

Baireuther, Paul, et al.. (2019). Neural network decoder for topological color codes with circuit level noise. New Journal of Physics. 21(1). 13003–13003. 40 indexed citations

4.

Criger, Ben & Imran Ashraf. (2018). Multi-path Summation for Decoding 2D Topological Codes. Quantum. 2. 102–102. 29 indexed citations

5.

Dickel, Christian, Nathan K. Langford, Ramiro Sagastizabal, et al.. (2018). Chip-to-chip entanglement of transmon qubits using engineered measurement fields. Physical review. B.. 97(6). 19 indexed citations

6.

Criger, Ben, et al.. (2017). Decoding small surface codes with feedforward neural networks. Quantum Science and Technology. 3(1). 15004–15004. 64 indexed citations

7.

Criger, Ben & Barbara M. Terhal. (2016). Noise thresholds for the [4,2,2]-concatenated toric code. Quantum Information and Computation. 16(15&16). 1261–1281. 19 indexed citations

8.

Granade, Chris & Ben Criger. (2016). QuaEC Documentation Release 1.0.1. 1 indexed citations

9.

Granade, Christopher, et al.. (2014). Tractable simulation of error correction with honest approximations to realistic fault models. Physical Review A. 89(2). 21 indexed citations

10.

Criger, Ben, Gina Passante, Daniel K. Park, & Raymond Laflamme. (2012). Recent advances in nuclear magnetic resonance quantum information processing. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 370(1976). 4620–4635. 27 indexed citations

11.

Criger, Ben, Osama Moussa, & Raymond Laflamme. (2012). Quantum error correction with mixed ancilla qubits. Physical Review A. 85(4). 10 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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