Denise Nicholson

95 total papers · 875 total citations
41 papers, 442 citations indexed

About

Denise Nicholson is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Denise Nicholson has authored 41 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Social Psychology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Denise Nicholson's work include AI-based Problem Solving and Planning (11 papers), Human-Automation Interaction and Safety (10 papers) and Intelligent Tutoring Systems and Adaptive Learning (10 papers). Denise Nicholson is often cited by papers focused on AI-based Problem Solving and Planning (11 papers), Human-Automation Interaction and Safety (10 papers) and Intelligent Tutoring Systems and Adaptive Learning (10 papers). Denise Nicholson collaborates with scholars based in United States. Denise Nicholson's co-authors include Tony Gore, Clint Bowers, Jennifer J. Vogel-Walcutt, C. Shawn Burke, Michael A. Rosen, Eduardo Salas, Sae Schatz, Teresa Marino Carper, Dylan Schmorrow and Keryl Cosenzo and has published in prestigious journals such as Environment and Planning A Economy and Space, Journal of Computer Assisted Learning and Military Psychology.

In The Last Decade

Denise Nicholson

37 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Denise Nicholson	122	73	56	44	42	41	442
Javier González‐Argote	25 0.2×	23 0.3×	14 0.3×	62 1.4×	8 0.2×	72	458
Beth Blickensderfer	218 1.8×	35 0.5×	35 0.6×	20 0.5×	2 0.0×	59	404
Carolyn Pillers Dobler	29 0.2×	32 0.4×	22 0.4×	41 0.9×	5 0.1×	24	460
Michael D. Proctor	54 0.4×	34 0.5×	83 1.5×	9 0.2×		43	485
Stephanie M. Doane	182 1.5×	81 1.1×	105 1.9×	8 0.2×		30	474
Lara Fontanella	45 0.4×	108 1.5×	5 0.1×	27 0.6×	3 0.1×	40	408
Susan S. Kirschenbaum	169 1.4×	106 1.5×	70 1.3×	6 0.1×	2 0.0×	21	474
Michela Gnaldi	37 0.3×	49 0.7×	42 0.8×	30 0.7×	4 0.1×	26	415
Clare Davies	22 0.2×	30 0.4×	10 0.2×	22 0.5×	7 0.2×	33	418
Oscar L. Olvera Astivia	39 0.3×	30 0.4×	30 0.5×	24 0.5×		23	457

Countries citing papers authored by Denise Nicholson

Since Specialization

Citations

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

Fields of papers citing papers by Denise Nicholson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Nicholson

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