James E. Endicott

706 total citations
11 papers, 542 citations indexed

About

James E. Endicott is a scholar working on Artificial Intelligence, General Health Professions and Cognitive Neuroscience. According to data from OpenAlex, James E. Endicott has authored 11 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in General Health Professions and 2 papers in Cognitive Neuroscience. Recurrent topics in James E. Endicott's work include Health Literacy and Information Accessibility (5 papers), Text Readability and Simplification (4 papers) and Topic Modeling (3 papers). James E. Endicott is often cited by papers focused on Health Literacy and Information Accessibility (5 papers), Text Readability and Simplification (4 papers) and Topic Modeling (3 papers). James E. Endicott collaborates with scholars based in United States, Malaysia and Canada. James E. Endicott's co-authors include Cynthia D. Mulrow, Christine Aguilar, Judith A. Hill, Ramón Vélez, Michael R. Tuley, Gondy Leroy, David Kauchak, Kai R. Larsen, David Gefen and Chih How Bong and has published in prestigious journals such as Annals of Internal Medicine, Journal of the American Geriatrics Society and Journal of Medical Internet Research.

In The Last Decade

James E. Endicott

9 papers receiving 503 citations

Peers

James E. Endicott

CN

SH

SS

AI

GHP

Emily Pedersen United States

Dennis K. McBride United States

Nick Perham United Kingdom

Guan-Hua Huang United States

Juan Carlos Ruíz Spain

Laura Gaeta United States

Natasha Clarke United Kingdom

Julia Strand United States

Prakash Boominathan India

Michael Stach Germany

Emily Pedersen United States

James E. Endicott

280 ×1.0

CN

203 ×1.0

SH

152 ×0.8

SS

26 ×0.2

AI

52 ×0.6

GHP

Citations per year, relative to James E. Endicott James E. Endicott (= 1×) peers Emily Pedersen

Countries citing papers authored by James E. Endicott

Since Specialization

Citations

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

Fields of papers citing papers by James E. Endicott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James E. Endicott

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

All Works

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11 of 11 papers shown

1.

Endicott, James E., Kai R. Larsen, Roman Lukyanenko, & Chih How Bong. (2017). Integrating Scientific Research: Theory and Design of Discovering Similar Constructs. Unimas Institutional Repository (Universiti Malaysia Sarawak). 4 indexed citations

2.

Arnulf, Jan Ketil, James E. Endicott, Øyvind Lund Martinsen, & Kim Nimon. (2017). Semantic Algorithms in Management Research: Applications, Interpretations and Future Perspectives. Academy of Management Proceedings. 2017(1). 16053–16053.

3.

Gefen, David, et al.. (2017). A Guide to Text Analysis with Latent Semantic Analysis in R with Annotated Code Studying Online Reviews and the Stack Exchange Community. Communications of the Association for Information Systems. 41. 450–496. 35 indexed citations

4.

Leroy, Gondy, et al.. (2013). User Evaluation of the Effects of a Text Simplification Algorithm Using Term Familiarity on Perception, Understanding, Learning, and Information Retention. Journal of Medical Internet Research. 15(7). e144–e144. 60 indexed citations

5.

Leroy, Gondy, et al.. (2013). Influence of Text and Participant Characteristics on Perceived and Actual Text Difficulty. 43. 2464–2473. 6 indexed citations

6.

Leroy, Gondy, et al.. (2012). Improving perceived and actual text difficulty for health information consumers using semi-automated methods.. PubMed. 2012. 522–31. 32 indexed citations

7.

Leroy, Gondy & James E. Endicott. (2012). Combining NLP with evidence-based methods to find text metrics related to perceived and actual text difficulty. 749–754. 22 indexed citations

8.

Leroy, Gondy & James E. Endicott. (2011). Term Familiarity to Indicate Perceived and Actual Difficulty of Text in Medical Digital Libraries. Lecture notes in computer science. 7008. 307–310. 18 indexed citations

9.

Mulrow, Cynthia D., Christine Aguilar, James E. Endicott, et al.. (1990). Quality-of-Life Changes and Hearing Impairment. Annals of Internal Medicine. 113(3). 80 indexed citations

10.

Mulrow, Cynthia D., Christine Aguilar, James E. Endicott, et al.. (1990). Association Between Hearing Impairment and the Quality of Life of Elderly Individuals. Journal of the American Geriatrics Society. 38(1). 45–50. 283 indexed citations

11.

Endicott, James E., et al.. (1968). Observations on man in an oxygen-helium environment at 380 mm. Hg total pressure. IV.. NASA Technical Reports Server (NASA). 2 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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