Sarah Haas

39 total papers · 592 total citations
17 papers, 103 citations indexed

About

Sarah Haas is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Sarah Haas has authored 17 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Sarah Haas's work include Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Recommender Systems and Techniques (3 papers) and Advanced Authentication Protocols Security (3 papers). Sarah Haas is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Recommender Systems and Techniques (3 papers) and Advanced Authentication Protocols Security (3 papers). Sarah Haas collaborates with scholars based in Austria, China and Switzerland. Sarah Haas's co-authors include Christian Steger, Alberto Gianoli, Martin Stettinger, Rainer Matischek, Michael Schwarz, Alexander Felfernig, Stefan Reiterer, Silia Maksuti, Andrea Höller and Ani Bicaku and has published in prestigious journals such as The International Journal of Robotics Research, iScience and Environment and Urbanization.

In The Last Decade

Sarah Haas

16 papers receiving 97 citations

Author Peers

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

Author						Papers	Cites
Sarah Haas	34	26	24	11	10	17	103
Debarun Kar	32 0.9×	36 1.4×	52 2.2×	8 0.7×	25 2.5×	13	213
G. Piscitelli	46 1.4×	91 3.5×	40 1.7×	43 3.9×	9 0.9×	23	219
Donatello Elia	52 1.5×	50 1.9×	24 1.0×	9 0.8×	3 0.3×	21	135
Vivek Sharma	37 1.1×	17 0.7×	36 1.5×	5 0.5×	3 0.3×	29	98
Ajay Kulkarni	15 0.4×	19 0.7×	34 1.4×	3 0.3×	10 1.0×	17	155
Xuefeng Jiang	16 0.5×	30 1.2×	84 3.5×	13 1.2×	4 0.4×	21	219
Christopher S. Mellish	37 1.1×	30 1.2×	140 5.8×	2 0.2×	6 0.6×	20	224
Markus Engel	46 1.4×	22 0.8×	12 0.5×	14 1.3×	8 0.8×	14	117
Lesandro Ponciano	27 0.8×	33 1.3×	10 0.4×	4 0.4×	3 0.3×	14	94
Yana Mazwin Mohmad Hassim	34 1.0×	17 0.7×	116 4.8×	21 1.9×	13 1.3×	25	222

Countries citing papers authored by Sarah Haas

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Haas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Haas

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