Bruno Kauffmann

555 total citations
10 papers, 363 citations indexed

About

Bruno Kauffmann is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Information Systems. According to data from OpenAlex, Bruno Kauffmann has authored 10 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 4 papers in Electrical and Electronic Engineering and 1 paper in Management Information Systems. Recurrent topics in Bruno Kauffmann's work include Caching and Content Delivery (4 papers), Network Traffic and Congestion Control (3 papers) and Cooperative Communication and Network Coding (3 papers). Bruno Kauffmann is often cited by papers focused on Caching and Content Delivery (4 papers), Network Traffic and Congestion Control (3 papers) and Cooperative Communication and Network Coding (3 papers). Bruno Kauffmann collaborates with scholars based in France, Australia and Burundi. Bruno Kauffmann's co-authors include François Baccelli, Konstantina Papagiannaki, Christophe Diot, Augustin Chaintreau, Vivek Mhatre, Alain Simonian, Massimo Gallo, Luca Muscariello, Christian Tanguy and Darryl Veitch and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review, Queueing Systems and Performance Evaluation.

In The Last Decade

Bruno Kauffmann

10 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bruno Kauffmann France	7	341	165	15	11	11	10	363
Rachid El Azouzi France	8	201 0.6×	146 0.9×	39 2.6×	5 0.5×	4 0.4×	23	247
Hussein Badr United States	7	243 0.7×	123 0.7×	6 0.4×	7 0.6×	20 1.8×	21	260
David E. McDysan United States	4	214 0.6×	118 0.7×	4 0.3×	9 0.8×	9 0.8×	10	250
Nicholas B. Chang United States	6	303 0.9×	215 1.3×	26 1.7×	7 0.6×	8 0.7×	10	335
Lara Deek United States	6	323 0.9×	203 1.2×	56 3.7×	38 3.5×	18 1.6×	10	382
András Rácz Hungary	8	356 1.0×	262 1.6×	8 0.5×	7 0.6×	9 0.8×	21	396
Z. Liu United States	6	282 0.8×	94 0.6×	3 0.2×	8 0.7×	10 0.9×	10	304
Panos Georgatsos United Kingdom	13	442 1.3×	264 1.6×	8 0.5×	57 5.2×	12 1.1×	28	466
B. Li Canada	7	296 0.9×	118 0.7×	15 1.0×	15 1.4×	14 1.3×	10	315
Ramakant S. Komali United States	9	300 0.9×	134 0.8×	36 2.4×	2 0.2×	13 1.2×	13	326

Countries citing papers authored by Bruno Kauffmann

Since Specialization

Citations

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

Fields of papers citing papers by Bruno Kauffmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Kauffmann

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Kauffmann. A scholar is included among the top collaborators of Bruno Kauffmann 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 Bruno Kauffmann. Bruno Kauffmann 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

1.

Olivier, Philippe, et al.. (2014). Evaluating user-perceived performance in high-speed backhaul networks. 17. 1–6. 1 indexed citations

2.

Kauffmann, Bruno, et al.. (2014). Catalog dynamics: Impact of content publishing and perishing on the performance of a LRU cache. 20 indexed citations

3.

Gallo, Massimo, Bruno Kauffmann, Luca Muscariello, Alain Simonian, & Christian Tanguy. (2013). Performance evaluation of the random replacement policy for networks of caches. Performance Evaluation. 72. 16–36. 26 indexed citations

4.

Guillemin, Fabrice, et al.. (2013). Experimental analysis of caching efficiency for YouTube traffic in an ISP network. 1–9. 23 indexed citations

5.

Gallo, Massimo, Bruno Kauffmann, Luca Muscariello, Alain Simonian, & Christian Tanguy. (2012). Performance evaluation of the random replacement policy for networks of caches. 395–396. 29 indexed citations

6.

Veitch, Darryl, et al.. (2010). Statistical estimation of delays in a multicast tree using accelerated EM. Queueing Systems. 66(4). 369–412. 4 indexed citations

7.

Baccelli, François, Bruno Kauffmann, & Darryl Veitch. (2009). Towards multihop available bandwidth estimation. ACM SIGMETRICS Performance Evaluation Review. 37(2). 83–84. 3 indexed citations

8.

Baccelli, François, Bruno Kauffmann, & Darryl Veitch. (2009). Inverse problems in queueing theory and Internet probing. Queueing Systems. 63(1-4). 59–107. 17 indexed citations

9.

Kauffmann, Bruno, François Baccelli, Augustin Chaintreau, et al.. (2007). Measurement-Based Self Organization of Interfering 802.11 Wireless Access Networks. 216 indexed citations

10.

Kauffmann, Bruno, François Baccelli, Augustin Chaintreau, Konstantina Papagiannaki, & Christophe Diot. (2005). Self Organization of Interfering 802.11 Wireless Access Networks. HAL (Le Centre pour la Communication Scientifique Directe). 25. 24 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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