Damien Zufferey

73 total papers · 1.5k total citations
31 papers, 485 citations indexed

About

Damien Zufferey is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Damien Zufferey has authored 31 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 8 papers in Hardware and Architecture. Recurrent topics in Damien Zufferey's work include Parallel Computing and Optimization Techniques (7 papers), Formal Methods in Verification (6 papers) and Text and Document Classification Technologies (4 papers). Damien Zufferey is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Formal Methods in Verification (6 papers) and Text and Document Classification Technologies (4 papers). Damien Zufferey collaborates with scholars based in Germany, Austria and Switzerland. Damien Zufferey's co-authors include Jean Hennebert, Thomas A. Henzinger, Stefano Bromuri, Michael Schumacher, Omar Abou Khaled, Christophe Gisler, Sriram K. Rajamani, Ankush Desai, Vivek Gupta and Shaz Qadeer and has published in prestigious journals such as ACM Computing Surveys, Pattern Recognition and Journal of Theoretical Biology.

In The Last Decade

Damien Zufferey

28 papers receiving 455 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Damien Zufferey	169	147	114	94	63	31	485
Byung Ro Moon	110 0.7×	226 1.5×	36 0.3×	153 1.6×	64 1.0×	19	497
Anand Kumar	162 1.0×	81 0.6×	81 0.7×	58 0.6×	60 1.0×	56	499
Vangalur Alagar	174 1.0×	94 0.6×	141 1.2×	56 0.6×	15 0.2×	48	415
José Luis Flores	129 0.8×	174 1.2×	86 0.8×	35 0.4×	35 0.6×	28	498
Pekka Kilpeläinen	157 0.9×	229 1.6×	91 0.8×	23 0.2×	30 0.5×	32	523
R. Nedunchezhian	143 0.8×	133 0.9×	143 1.3×	36 0.4×	53 0.8×	43	416
Marc‐Olivier Killijian	153 0.9×	311 2.1×	86 0.8×	65 0.7×	41 0.7×	37	534
Franklin Johnson	96 0.6×	120 0.8×	59 0.5×	25 0.3×	54 0.9×	43	483
David Vengerov	256 1.5×	199 1.4×	133 1.2×	48 0.5×	67 1.1×	31	474
Peipei Wang	149 0.9×	189 1.3×	184 1.6×	28 0.3×	32 0.5×	37	441

Countries citing papers authored by Damien Zufferey

Since Specialization

Citations

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

Fields of papers citing papers by Damien Zufferey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damien Zufferey

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

All Works

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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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