Josef Spjut

81 total papers · 740 total citations
43 papers, 510 citations indexed

About

Josef Spjut is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Josef Spjut has authored 43 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Human-Computer Interaction and 11 papers in Cognitive Neuroscience. Recurrent topics in Josef Spjut's work include Computer Graphics and Visualization Techniques (11 papers), Interactive and Immersive Displays (9 papers) and Virtual Reality Applications and Impacts (9 papers). Josef Spjut is often cited by papers focused on Computer Graphics and Visualization Techniques (11 papers), Interactive and Immersive Displays (9 papers) and Virtual Reality Applications and Impacts (9 papers). Josef Spjut collaborates with scholars based in United States, United Kingdom and South Korea. Josef Spjut's co-authors include Erik Brunvand, David Luebke, Joohwan Kim, Andrew Kensler, Morgan McGuire, Rachel Albert, Kaan Akşit, Rajeev Balasubramonian, Seth H. Pugsley and David Nellans and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Josef Spjut

37 papers receiving 481 citations

Author Peers

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

Author						Papers	Cites
Josef Spjut	244	161	136	113	82	43	510
André Hinkenjann	236 1.0×	71 0.4×	236 1.7×	46 0.4×	155 1.9×	51	522
J. Michael Moshell	185 0.8×	98 0.6×	278 2.0×	23 0.2×	91 1.1×	36	537
Philip Willis	301 1.2×	192 1.2×	26 0.2×	47 0.4×	19 0.2×	62	479
Eun‐Seok Ryu	391 1.6×	24 0.1×	63 0.5×	56 0.5×	40 0.5×	76	517
Thomas J. Olson	168 0.7×	28 0.2×	28 0.2×	57 0.5×	79 1.0×	33	462
Pavel Slavı́k	177 0.7×	76 0.5×	159 1.2×	26 0.2×	125 1.5×	73	481
Bruce Culbertson	372 1.5×	94 0.6×	101 0.7×	107 0.9×	31 0.4×	19	475
Dongkyung Nam	171 0.7×	48 0.3×	174 1.3×	292 2.6×	51 0.6×	53	495
Leonard D. Brown	197 0.8×	22 0.1×	227 1.7×	58 0.5×	37 0.5×	29	528
Alexandre R. J. François	381 1.6×	15 0.1×	40 0.3×	24 0.2×	56 0.7×	29	451

Countries citing papers authored by Josef Spjut

Since Specialization

Citations

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

Fields of papers citing papers by Josef Spjut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josef Spjut

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