Anne C. Elster

97 total papers · 1.1k total citations
50 papers, 496 citations indexed

About

Anne C. Elster is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anne C. Elster has authored 50 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hardware and Architecture, 25 papers in Computer Networks and Communications and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anne C. Elster's work include Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (14 papers) and Cloud Computing and Resource Management (12 papers). Anne C. Elster is often cited by papers focused on Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (14 papers) and Cloud Computing and Resource Management (12 papers). Anne C. Elster collaborates with scholars based in Norway, United States and Spain. Anne C. Elster's co-authors include Frank Lindseth, Erik Smistad, Daniele G. Spampinato, Jan Christian Meyer, Anthony P. Reeves, Andreas Kuehlmann, Malik M. Khan, David R. Kincaid, Tobias Becker and Ian Karlin and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Medical Image Analysis.

In The Last Decade

Anne C. Elster

47 papers receiving 474 citations

Author Peers

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

Author						Papers	Cites
Anne C. Elster	192	111	107	94	87	50	496
Andrew Sohn	176 0.9×	246 2.2×	170 1.6×	198 2.1×	167 1.9×	50	576
Rushil Anirudh	165 0.9×	60 0.5×	41 0.4×	148 1.6×	115 1.3×	52	485
Fumihiko Ino	236 1.2×	228 2.1×	192 1.8×	104 1.1×	85 1.0×	71	595
Yangjie Cao	150 0.8×	126 1.1×	38 0.4×	99 1.1×	23 0.3×	68	557
Mohsen Rezvani	94 0.5×	236 2.1×	26 0.2×	208 2.2×	75 0.9×	48	550
Uday Kurkure	150 0.8×	135 1.2×	177 1.7×	27 0.3×	218 2.5×	25	517
Dhirendra Pratap Singh	98 0.5×	104 0.9×	17 0.2×	93 1.0×	75 0.9×	62	449
Manuel Ujaldón	194 1.0×	165 1.5×	128 1.2×	185 2.0×	40 0.5×	47	579
Zhenfeng Zhang	199 1.0×	120 1.1×	15 0.1×	161 1.7×	43 0.5×	28	457
Naotake Kamiura	183 1.0×	130 1.2×	29 0.3×	261 2.8×	74 0.9×	106	528

Countries citing papers authored by Anne C. Elster

Since Specialization

Citations

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

Fields of papers citing papers by Anne C. Elster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne C. Elster. 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 Anne C. Elster. The network helps show where Anne C. Elster may publish in the future.

Co-authorship network of co-authors of Anne C. Elster

This figure shows the co-authorship network connecting the top 25 collaborators of Anne C. Elster. A scholar is included among the top collaborators of Anne C. Elster 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 Anne C. Elster. Anne C. Elster 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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