Joseph DiVita

41 total papers · 481 total citations
18 papers, 338 citations indexed

About

Joseph DiVita is a scholar working on Social Psychology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Joseph DiVita has authored 18 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 5 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Joseph DiVita's work include Human-Automation Interaction and Safety (4 papers), Visual perception and processing mechanisms (4 papers) and Color perception and design (3 papers). Joseph DiVita is often cited by papers focused on Human-Automation Interaction and Safety (4 papers), Visual perception and processing mechanisms (4 papers) and Color perception and design (3 papers). Joseph DiVita collaborates with scholars based in United States and Netherlands. Joseph DiVita's co-authors include Irvin Rock, William A. Nugent, Karl F. Van Orden, Matthew J. Shim, Donna L. Wheeler, Robert Morris, D. A. Morrison, Jeremy A. Johnson, Rajan Bhattacharyya and Andrea A. Kim and has published in prestigious journals such as Journal of Experimental Psychology Human Perception & Performance, Cognitive Psychology and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

Joseph DiVita

14 papers receiving 308 citations

Author Peers

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

Author						Papers	Cites
Joseph DiVita	198	100	67	54	42	18	338
Ronan Flynn	76 0.4×	148 1.5×	56 0.8×	54 1.0×	52 1.2×	56	383
Eric Chown	77 0.4×	64 0.6×	49 0.7×	32 0.6×	119 2.8×	21	402
Yaoru Sun	170 0.9×	32 0.3×	34 0.5×	49 0.9×	24 0.6×	22	326
Mouhannad Ali	193 1.0×	78 0.8×	40 0.6×	30 0.6×	50 1.2×	18	382
Marvin Andujar	139 0.7×	74 0.7×	57 0.9×	14 0.3×	18 0.4×	19	320
Yi-Hao Peng	154 0.8×	121 1.2×	34 0.5×	12 0.2×	48 1.1×	31	389
Gregory W. Cermak	80 0.4×	173 1.7×	21 0.3×	38 0.7×	14 0.3×	21	328
Leah Reeves	90 0.5×	82 0.8×	110 1.6×	7 0.1×	71 1.7×	11	359
BoYu Gao	103 0.5×	122 1.2×	34 0.5×	6 0.1×	58 1.4×	44	362
James M. Farber	234 1.2×	82 0.8×	46 0.7×	8 0.1×	34 0.8×	14	350

Countries citing papers authored by Joseph DiVita

Since Specialization

Citations

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

Fields of papers citing papers by Joseph DiVita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph DiVita

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