Jonathan Grady

500 total citations
13 papers, 341 citations indexed

About

Jonathan Grady is a scholar working on Information Systems, Information Systems and Management and Oncology. According to data from OpenAlex, Jonathan Grady has authored 13 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Information Systems and Management and 3 papers in Oncology. Recurrent topics in Jonathan Grady's work include Personal Information Management and User Behavior (4 papers), Information Retrieval and Search Behavior (3 papers) and Cancer survivorship and care (3 papers). Jonathan Grady is often cited by papers focused on Personal Information Management and User Behavior (4 papers), Information Retrieval and Search Behavior (3 papers) and Cancer survivorship and care (3 papers). Jonathan Grady collaborates with scholars based in United States. Jonathan Grady's co-authors include Peter Brusilovsky, Daqing He, Jae‐wook Ahn, Sue Yeon Syn, Michael B. Spring, Qi Li, Lisa H. Butterfield, Allan Tsung, Michael H. Antoni and Jennifer L. Steel and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Journal of Medical Internet Research.

In The Last Decade

Jonathan Grady

12 papers receiving 318 citations

Peers

Jonathan Grady

IS

AI

ONCOL

PHEOH

CVPR

Stefan Zugal Austria

Jakob Pinggera Austria

Peter H. F. Ng Hong Kong

Jerry Sheehan United States

Emma Anderson United Kingdom

Curtis L. Cole United States

Henna Kim United States

Yousef Asiri Saudi Arabia

Kudakwashe Dube New Zealand

Sokratis Nifakos Sweden

Stefan Zugal Austria

Jonathan Grady

175 ×1.0

IS

103 ×1.3

AI

54 ×0.8

ONCOL

36 ×0.6

PHEOH

22 ×0.4

CVPR

Citations per year, relative to Jonathan Grady Jonathan Grady (= 1×) peers Stefan Zugal

Countries citing papers authored by Jonathan Grady

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Grady

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Grady

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

All Works

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13 of 13 papers shown

1.

Rotondi, Armando J., Jonathan Grady, Barbara H. Hanusa, et al.. (2020). Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment. Journal of Medical Internet Research. 23(3). e23137–e23137. 5 indexed citations

2.

Steel, Jennifer L., David A. Geller, Kevin H. Kim, et al.. (2016). W eb‐based collaborative care intervention to manage cancer‐related symptoms in the palliative care setting. Cancer. 122(8). 1270–1282. 93 indexed citations

3.

Steel, Jennifer L., Kevin Kim, Lisa H. Butterfield, et al.. (2014). Web-based stepped collaborative care intervention in the context of advanced cancer.. Journal of Clinical Oncology. 32(15_suppl). 9522–9522. 2 indexed citations

4.

Rotondi, Armando J., Michael B. Spring, Jonathan Grady, et al.. (2012). Use of a Fractional Factorial Experiment to Assess the E-healthcare Application Design Needs of Persons With Dual Diagnosis. Journal of Dual Diagnosis. 8(4). 277–282. 7 indexed citations

5.

Brusilovsky, Peter, et al.. (2011). An agent for versatile intelligence analysis system. Intelligent Decision Technologies. 5(1). 17–30. 1 indexed citations

6.

Steel, Jennifer L., David A. Geller, Allan Tsung, et al.. (2011). Randomized controlled trial of a collaborative care intervention to manage cancer-related symptoms: lessons learned. Clinical Trials. 8(3). 298–310. 19 indexed citations

7.

Ahn, Jae‐wook, Peter Brusilovsky, Jonathan Grady, Daqing He, & Radu Florian. (2010). Semantic annotation based exploratory search for information analysts. Information Processing & Management. 46(4). 383–402. 19 indexed citations

8.

Ahn, Jae‐wook, Peter Brusilovsky, Daqing He, Jonathan Grady, & Qi Li. (2008). Personalized web exploration with task models. 1–10. 43 indexed citations

9.

He, Daqing, Peter Brusilovsky, Jae‐wook Ahn, et al.. (2007). An evaluation of adaptive filtering in the context of realistic task-based information exploration. Information Processing & Management. 44(2). 511–533. 23 indexed citations

10.

He, Daqing, et al.. (2007). How Up-to-date should it be? the Value of Instant Profiling and Adaptation in Information Filtering. 699–705. 1 indexed citations

11.

Ahn, Jae‐wook, Peter Brusilovsky, Jonathan Grady, Daqing He, & Sue Yeon Syn. (2007). Open user profiles for adaptive news systems. 11–20. 117 indexed citations

12.

He, Daqing, et al.. (2007). How Up-to-date should it be? the Value of Instant Profiling and Adaptation in Information Filtering.

13.

Brusilovsky, Peter, et al.. (2006). What should be visualized?. ACM SIGCSE Bulletin. 38(2). 44–48. 11 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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