Linda E. Sibert

24 total papers · 1.6k total citations
15 papers, 1.0k citations indexed

About

Linda E. Sibert is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Social Psychology. According to data from OpenAlex, Linda E. Sibert has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Human-Computer Interaction, 7 papers in Control and Systems Engineering and 4 papers in Social Psychology. Recurrent topics in Linda E. Sibert's work include Virtual Reality Applications and Impacts (7 papers), Simulation and Modeling Applications (4 papers) and Human Motion and Animation (4 papers). Linda E. Sibert is often cited by papers focused on Virtual Reality Applications and Impacts (7 papers), Simulation and Modeling Applications (4 papers) and Human Motion and Animation (4 papers). Linda E. Sibert collaborates with scholars based in United States and Switzerland. Linda E. Sibert's co-authors include Robert J. K. Jacob, James N. Templeman, Matthew Mullen, Daniel C. McFarlane, T. King, L. Rosenblum, T. Meyer, Daniel Fasulo, Dennis Perzanowski and Patricia A. Tatem and has published in prestigious journals such as IEEE Computer Graphics and Applications, ACM Transactions on Computer-Human Interaction and PRESENCE Virtual and Augmented Reality.

In The Last Decade

Linda E. Sibert

15 papers receiving 921 citations

Author Peers

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

Author Last Decade Papers Cites
Linda E. Sibert 838 432 291 123 93 15 1.0k
Eike Langbehn 753 0.9× 319 0.7× 278 1.0× 141 1.1× 156 1.7× 29 874
William Steptoe 821 1.0× 271 0.6× 363 1.2× 284 2.3× 29 0.3× 24 1.0k
Régis Kopper 880 1.1× 338 0.8× 512 1.8× 191 1.6× 39 0.4× 69 1.2k
Sharif Razzaque 941 1.1× 501 1.2× 304 1.0× 216 1.8× 168 1.8× 20 1.2k
Harald Frenz 571 0.7× 441 1.0× 196 0.7× 81 0.7× 174 1.9× 13 811
Eric Hodgson 595 0.7× 230 0.5× 276 0.9× 103 0.8× 260 2.8× 28 1.2k
Jens R. Helmert 476 0.6× 557 1.3× 259 0.9× 260 2.1× 19 0.2× 37 1.2k
Maia Garau 733 0.9× 298 0.7× 239 0.8× 436 3.5× 72 0.8× 15 1.1k
Jason Orlosky 499 0.6× 186 0.4× 397 1.4× 90 0.7× 14 0.2× 74 828
Florian Daiber 656 0.8× 235 0.5× 347 1.2× 97 0.8× 16 0.2× 77 904

Countries citing papers authored by Linda E. Sibert

Since Specialization
Citations

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

Fields of papers citing papers by Linda E. Sibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda E. Sibert. 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 Linda E. Sibert. The network helps show where Linda E. Sibert may publish in the future.

Co-authorship network of co-authors of Linda E. Sibert

This figure shows the co-authorship network connecting the top 25 collaborators of Linda E. Sibert. A scholar is included among the top collaborators of Linda E. Sibert 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 Linda E. Sibert. Linda E. Sibert 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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