Daniel Morrow

7.8k total citations
143 papers, 5.2k citations indexed

About

Daniel Morrow is a scholar working on Experimental and Cognitive Psychology, Social Psychology and General Health Professions. According to data from OpenAlex, Daniel Morrow has authored 143 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Experimental and Cognitive Psychology, 39 papers in Social Psychology and 27 papers in General Health Professions. Recurrent topics in Daniel Morrow's work include Human-Automation Interaction and Safety (30 papers), Health Literacy and Information Accessibility (18 papers) and Medication Adherence and Compliance (17 papers). Daniel Morrow is often cited by papers focused on Human-Automation Interaction and Safety (30 papers), Health Literacy and Information Accessibility (18 papers) and Medication Adherence and Compliance (17 papers). Daniel Morrow collaborates with scholars based in United States, Spain and Germany. Daniel Morrow's co-authors include Von O. Leirer, Gordon H. Bower, Elizabeth A. L. Stine‐Morrow, Steven L. Greenspan, Michael D. Murray, Jerome A. Yesavage, Javaid I. Sheikh, Jingwei Wu, Wanzhu Tu and Jeanine M. Parisi and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Daniel Morrow

139 papers receiving 4.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Morrow United States 43 1.3k 1.1k 1.0k 961 855 143 5.2k
Sarah E. Hampson United States 48 1.5k 1.2× 518 0.5× 566 0.5× 1.7k 1.8× 2.1k 2.5× 153 10.4k
Peter J. McLeod Canada 32 454 0.4× 410 0.4× 475 0.5× 763 0.8× 273 0.3× 120 4.3k
Sherry L. Willis United States 48 2.9k 2.3× 2.1k 2.0× 892 0.9× 804 0.8× 1.1k 1.3× 150 10.0k
Mike Martin Switzerland 42 2.0k 1.6× 1.4k 1.3× 321 0.3× 368 0.4× 840 1.0× 193 5.4k
William F. Chaplin United States 49 1.0k 0.8× 1.9k 1.8× 358 0.3× 806 0.8× 1.7k 2.0× 134 8.2k
David N. Rapp United States 38 965 0.8× 825 0.8× 1.8k 1.7× 450 0.5× 392 0.5× 106 4.3k
David J. Kavanagh Australia 51 1.8k 1.4× 1.1k 1.1× 300 0.3× 3.0k 3.1× 2.0k 2.3× 303 11.3k
Lisa A. Marsch United States 48 1.2k 0.9× 848 0.8× 251 0.2× 1.8k 1.9× 1.1k 1.3× 198 8.9k
Mary A. Luszcz Australia 49 889 0.7× 1.4k 1.3× 464 0.5× 956 1.0× 1.1k 1.3× 174 6.5k
Andrew C. Butler United States 37 2.3k 1.8× 2.5k 2.4× 2.1k 2.1× 379 0.4× 1.3k 1.5× 77 8.6k

Countries citing papers authored by Daniel Morrow

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Morrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Morrow

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Morrow. A scholar is included among the top collaborators of Daniel Morrow 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 Daniel Morrow. Daniel Morrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Joslyn, Susan, Gale M. Sinatra, & Daniel Morrow. (2021). Risk perception, decision-making, and risk communication in the time of COVID-19.. Journal of Experimental Psychology Applied. 27(4). 579–583. 12 indexed citations
2.
3.
Morrow, Daniel, et al.. (2017). Using Computer Agents to Explain Clinical Test Results.. AMIA. 1 indexed citations
4.
Morrow, Daniel, et al.. (2017). A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care. Journal of Biomedical Informatics. 69. 63–74. 15 indexed citations
5.
Stine‐Morrow, Elizabeth A. L., Brennan R. Payne, Brent W. Roberts, et al.. (2014). Training versus engagement as paths to cognitive enrichment with aging.. Psychology and Aging. 29(4). 891–906. 69 indexed citations
6.
Taha, Jessica, Sara J. Czaja, Joseph Sharit, & Daniel Morrow. (2013). Factors affecting usage of a personal health record (PHR) to manage health.. Psychology and Aging. 28(4). 1124–1139. 87 indexed citations
7.
Chin, Jessie, et al.. (2012). Information Foraging in the Unknown Patches across the Life Span. Cognitive Science. 34(34). 4 indexed citations
8.
Parisi, Jeanine M., Jennifer C. Greene, Daniel Morrow, & Elizabeth A. L. Stine‐Morrow. (2007). The Senior Odyssey. Activities Adaptation & Aging. 31(3). 31–49. 12 indexed citations
9.
Morrow, Daniel, Michael Weiner, James Young, et al.. (2005). Improving Medication Knowledge Among Older Adults With Heart Failure: A Patient-Centered Approach to Instruction Design. The Gerontologist. 45(4). 545–552. 93 indexed citations
10.
Stine‐Morrow, Elizabeth A. L., et al.. (2004). Age differences in rereading. Memory & Cognition. 32(5). 696–710. 68 indexed citations
11.
Murray, Michael D., Daniel Morrow, Michael Weiner, et al.. (2004). Methodology of an ongoing, randomized, controlled trial to improve drug use for elderly patients with chronic heart failure. ˜The œAmerican journal of geriatric pharmacotherapy. 2(1). 53–65. 46 indexed citations
12.
Stine‐Morrow, Elizabeth A. L., et al.. (2002). Aging and the Representation of Spatial Situations in Narrative Understanding. The Journals of Gerontology Series B. 57(4). P291–P297. 35 indexed citations
13.
Morrow, Daniel, et al.. (1998). Icons Improve Older and Younger Adults' Comprehension of Medication Information. The Journals of Gerontology Series B. 53B(4). P240–P254. 93 indexed citations
14.
Morrow, Daniel, et al.. (1997). The Role of Reader Age and Focus of Attention in Creating Situation Models from Narratives. The Journals of Gerontology Series B. 52B(2). P73–P80. 45 indexed citations
15.
Morrow, Daniel, et al.. (1994). When expertise reduces age differences in performance.. Psychology and Aging. 9(1). 134–148. 90 indexed citations
16.
Leirer, Von O., Elizabeth Decker Tanke, & Daniel Morrow. (1994). Time of day and naturalistic prospective memory. Experimental Aging Research. 20(2). 127–134. 20 indexed citations
17.
Yesavage, Jerome A., Julie Taylor, Daniel Morrow, & J. R. Tinklenberg. (1992). THE EFFECTS OF ALCOHOL ON THE VARIABILITY OF AIRCRAFT PILOT PERFORMANCE.. 8(3). 217–224. 3 indexed citations
18.
Morrow, Daniel, et al.. (1992). Aging, expertise, and narrative processing.. Psychology and Aging. 7(3). 376–388. 3 indexed citations
19.
Clark, Herbert H., et al.. (1990). Analysis of routine communication in the air traffic control system. NASA Technical Reports Server (NASA). 91. 22475. 1 indexed citations
20.
Morrow, Daniel, Von O. Leirer, & Javaid I. Sheikh. (1988). Adherence and Medication Instructions Review and Recommendations. Journal of the American Geriatrics Society. 36(12). 1147–1160. 143 indexed citations

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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