Ross J. Lordon

572 total citations
9 papers, 338 citations indexed

About

Ross J. Lordon is a scholar working on Surgery, General Health Professions and Health Information Management. According to data from OpenAlex, Ross J. Lordon has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in General Health Professions and 3 papers in Health Information Management. Recurrent topics in Ross J. Lordon's work include Surgical site infection prevention (4 papers), Electronic Health Records Systems (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). Ross J. Lordon is often cited by papers focused on Surgical site infection prevention (4 papers), Electronic Health Records Systems (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). Ross J. Lordon collaborates with scholars based in United States, Netherlands and Ireland. Ross J. Lordon's co-authors include Heather L. Evans, William B. Lober, Cheryl A. Armstrong, Andrea L. Hartzler, Gary Hsieh, Benjamin R. Cowan, Tad Hirsch, Wanda Pratt, Sean A. Munson and Uba Backonja and has published in prestigious journals such as PLoS ONE, Journal of the American College of Surgeons and Journal of the American Medical Informatics Association.

In The Last Decade

Ross J. Lordon

9 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ross J. Lordon United States 7 123 103 74 48 46 9 338
Soyoung Yoo South Korea 12 89 0.7× 73 0.7× 37 0.5× 24 0.5× 24 0.5× 34 472
Benedict Stanberry United Kingdom 6 49 0.4× 141 1.4× 223 3.0× 24 0.5× 13 0.3× 12 455
Margit Neher Sweden 9 18 0.1× 93 0.9× 69 0.9× 50 1.0× 19 0.4× 24 418
Scott Cunningham United Kingdom 14 75 0.6× 249 2.4× 85 1.1× 6 0.1× 36 0.8× 38 805
Sara Chokshi United States 11 23 0.2× 171 1.7× 105 1.4× 27 0.6× 41 0.9× 18 447
Ali Jasem Buabbas Kuwait 12 35 0.3× 78 0.8× 119 1.6× 29 0.6× 8 0.2× 20 338
Filippo Gibelli Italy 8 25 0.2× 93 0.9× 113 1.5× 13 0.3× 16 0.3× 30 315
Sarah Sullivan United States 13 96 0.8× 67 0.7× 137 1.9× 7 0.1× 34 0.7× 30 397
Martin Holderried Germany 11 29 0.2× 134 1.3× 91 1.2× 20 0.4× 12 0.3× 40 427
Margriet Pol Netherlands 11 50 0.4× 136 1.3× 59 0.8× 11 0.2× 18 0.4× 23 367

Countries citing papers authored by Ross J. Lordon

Since Specialization
Citations

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

Fields of papers citing papers by Ross J. Lordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross J. Lordon. 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 Ross J. Lordon. The network helps show where Ross J. Lordon may publish in the future.

Co-authorship network of co-authors of Ross J. Lordon

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

All Works

9 of 9 papers shown
1.
Lordon, Ross J., et al.. (2021). Heuristic Evaluation of Conversational Agents. 1–15. 57 indexed citations
2.
Lordon, Ross J., Sean P. Mikles, Heather L. Evans, et al.. (2020). How patient-generated health data and patient-reported outcomes affect patient–clinician relationships: A systematic review. Health Informatics Journal. 26(4). 2689–2706. 44 indexed citations
3.
Payne, Thomas H., et al.. (2018). Using voice to create inpatient progress notes: effects on note timeliness, quality, and physician satisfaction. JAMIA Open. 1(2). 218–226. 15 indexed citations
4.
Payne, Thomas H., et al.. (2017). Improving Electronic Inpatient Progress Notes Using Voice: Results from the VGEENS Project.. AMIA. 1 indexed citations
5.
Lordon, Ross J., Julie Cooper, JoAnne D. Whitney, et al.. (2017). Implementation of an mHealth Postoperative Wound Management Program. Journal of the American College of Surgeons. 225(4). e88–e88. 2 indexed citations
6.
Simianu, Vlad V., Cameron E. Gaskill, Cheryl A. Armstrong, et al.. (2016). Diagnosing Surgical Site Infection Using Wound Photography: A Scenario-Based Study. Journal of the American College of Surgeons. 224(1). 8–15e1. 33 indexed citations
7.
Ramshorst, Gabriëlle H. van, Ezgi Mercan, Shuai Huang, et al.. (2016). A Prognostic Model of Surgical Site Infection Using Daily Clinical Wound Assessment. Journal of the American College of Surgeons. 223(2). 259–270e2. 35 indexed citations
8.
Hartzler, Andrea L., Ross J. Lordon, Cheryl A. Armstrong, et al.. (2016). A patient-centered system in a provider-centered world: challenges of incorporating post-discharge wound data into practice. Journal of the American Medical Informatics Association. 23(3). 514–525. 51 indexed citations
9.
Hartzler, Andrea L., et al.. (2014). Patient Perspectives on Post-Discharge Surgical Site Infections: Towards a Patient-Centered Mobile Health Solution. PLoS ONE. 9(12). e114016–e114016. 100 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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