Caroline Collange

731 total citations
10 papers, 177 citations indexed

About

Caroline Collange is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Caroline Collange has authored 10 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 5 papers in Computer Networks and Communications and 4 papers in Computational Theory and Mathematics. Recurrent topics in Caroline Collange's work include Parallel Computing and Optimization Techniques (7 papers), Numerical Methods and Algorithms (4 papers) and Advanced Data Storage Technologies (4 papers). Caroline Collange is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Numerical Methods and Algorithms (4 papers) and Advanced Data Storage Technologies (4 papers). Caroline Collange collaborates with scholars based in France, United States and Brazil. Caroline Collange's co-authors include Nicolas Brunie, Gregory Diamos, Fernando Magno Quintão Pereira, Mark G. Arnold, Vinícius F. dos Santos, Marcos Yukio Siraichi, Panagiotis D. Vouzis, Mayuresh V. Kothare and André Seznec and has published in prestigious journals such as IEEE Transactions on Computers, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Caroline Collange

10 papers receiving 166 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caroline Collange France	6	122	85	53	47	37	10	177
Kiran Kumar Matam United States	7	119 1.0×	138 1.6×	61 1.2×	28 0.6×	36 1.0×	12	221
Muralidaran Vijayaraghavan United States	10	216 1.8×	141 1.7×	48 0.9×	44 0.9×	68 1.8×	15	271
Hiroki Honda Japan	11	159 1.3×	172 2.0×	28 0.5×	28 0.6×	36 1.0×	37	239
J.W.S. Liu United States	9	219 1.8×	150 1.8×	17 0.3×	73 1.6×	23 0.6×	16	263
Joël Falcou France	8	107 0.9×	84 1.0×	35 0.7×	23 0.5×	7 0.2×	22	165
Simona Boboila United States	7	122 1.0×	291 3.4×	44 0.8×	23 0.5×	30 0.8×	12	325
Shaked Flur United Kingdom	4	120 1.0×	93 1.1×	88 1.7×	28 0.6×	29 0.8×	5	172
Giacomo Gabrielli Italy	7	235 1.9×	197 2.3×	33 0.6×	17 0.4×	85 2.3×	20	281
Gordon Stewart United States	7	60 0.5×	73 0.9×	191 3.6×	93 2.0×	19 0.5×	24	226
Gustavo Petri United States	8	84 0.7×	102 1.2×	86 1.6×	15 0.3×	14 0.4×	25	162

Countries citing papers authored by Caroline Collange

Since Specialization

Citations

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

Fields of papers citing papers by Caroline Collange

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Collange

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

All Works

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10 of 10 papers shown

Collange, Caroline, et al.. (2020). SIMT-X. ACM Transactions on Architecture and Code Optimization. 17(2). 1–23. 4 indexed citations

Siraichi, Marcos Yukio, Vinícius F. dos Santos, Caroline Collange, & Fernando Magno Quintão Pereira. (2019). Qubit allocation as a combination of subgraph isomorphism and token swapping. Proceedings of the ACM on Programming Languages. 3(OOPSLA). 1–29. 41 indexed citations

Collange, Caroline, et al.. (2017). Function Call Re-Vectorization. ACM SIGPLAN Notices. 52(8). 313–326. 2 indexed citations

Arnold, Mark G. & Caroline Collange. (2014). Options for Denormal Representation in Logarithmic Arithmetic. Journal of Signal Processing Systems. 77(1-2). 207–220. 1 indexed citations

Collange, Caroline, et al.. (2013). Divergence analysis. ACM Transactions on Programming Languages and Systems. 35(4). 1–36. 18 indexed citations

Brunie, Nicolas, Caroline Collange, & Gregory Diamos. (2012). Simultaneous branch and warp interweaving for sustained GPU performance. ACM SIGARCH Computer Architecture News. 40(3). 49–60. 51 indexed citations

Brunie, Nicolas, Caroline Collange, & Gregory Diamos. (2012). Simultaneous branch and warp interweaving for sustained GPU performance. HAL (Le Centre pour la Communication Scientifique Directe). 49–60. 32 indexed citations

Arnold, Mark G. & Caroline Collange. (2010). A Real/Complex Logarithmic Number System ALU. IEEE Transactions on Computers. 60(2). 202–213. 13 indexed citations

Vouzis, Panagiotis D., Caroline Collange, & Mark G. Arnold. (2007). LNS Subtraction Using Novel Cotransformation and/or Interpolation. 3. 107–114. 13 indexed citations

10.

Vouzis, Panagiotis D., Mark G. Arnold, Caroline Collange, & Mayuresh V. Kothare. (2007). Monte Carlo Logarithmic Number System for Model Predictive Control. 2. 453–458. 2 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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