Eric S. Vorm

470 total citations
9 papers, 220 citations indexed

About

Eric S. Vorm is a scholar working on Artificial Intelligence, Management Information Systems and Safety Research. According to data from OpenAlex, Eric S. Vorm has authored 9 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Management Information Systems and 2 papers in Safety Research. Recurrent topics in Eric S. Vorm's work include Explainable Artificial Intelligence (XAI) (3 papers), Big Data and Business Intelligence (2 papers) and Ethics and Social Impacts of AI (2 papers). Eric S. Vorm is often cited by papers focused on Explainable Artificial Intelligence (XAI) (3 papers), Big Data and Business Intelligence (2 papers) and Ethics and Social Impacts of AI (2 papers). Eric S. Vorm collaborates with scholars based in United States and Australia. Eric S. Vorm's co-authors include David J. Combs, David Gunning, Yunyan Wang, Andrew Miller, Anthony M. Harrison and J. Gregory Trafton and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Intelligent Systems and International Journal of Human-Computer Interaction.

In The Last Decade

Eric S. Vorm

9 papers receiving 210 citations

Peers

Eric S. Vorm

AI

SR

HI

SP

ISM

Tobias Huber Germany

Cecilia Panigutti Italy

Umang Bhatt United Kingdom

Samuel Jenkins United States

Pradyumna Tambwekar United States

Larry Chan United States

Harsha Nori United States

Mohammad Naiseh United Kingdom

Ana Marasović United States

Łukasz Radliński Poland

Tobias Huber Germany

Eric S. Vorm

152 ×1.2

AI

66 ×1.3

SR

44 ×0.9

HI

48 ×1.5

SP

14 ×0.7

ISM

Citations per year, relative to Eric S. Vorm Eric S. Vorm (= 1×) peers Tobias Huber

Countries citing papers authored by Eric S. Vorm

Since Specialization

Citations

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

Fields of papers citing papers by Eric S. Vorm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Vorm. 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 Eric S. Vorm. The network helps show where Eric S. Vorm may publish in the future.

Co-authorship network of co-authors of Eric S. Vorm

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

All Works

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9 of 9 papers shown

1.

Vorm, Eric S. & David J. Combs. (2022). Integrating Transparency, Trust, and Acceptance: The Intelligent Systems Technology Acceptance Model (ISTAM). International Journal of Human-Computer Interaction. 38(18-20). 1828–1845. 85 indexed citations

2.

Gunning, David, et al.. (2021). DARPA's explainableAI(XAI) program: A retrospective. SHILAP Revista de lepidopterología. 2(4). 94 indexed citations

3.

Vorm, Eric S., et al.. (2021). Enhancing human-machine teaming for medical prognosis through neural ordinary differential equations (NODEs). PubMed Central. 3(4). 263–275. 6 indexed citations

4.

Vorm, Eric S.. (2020). Computer-Centered Humans: Why Human-AI Interaction Research Will Be Critical to Successful AI Integration in the DoD. IEEE Intelligent Systems. 35(4). 112–116. 6 indexed citations

5.

Harrison, Anthony M., et al.. (2020). Joint Attention Estimator. 331–333. 2 indexed citations

6.

Vorm, Eric S. & Andrew Miller. (2018). Assessing Demand for Transparency in Intelligent Systems Using Machine Learning. Publisher. 3 indexed citations

7.

Vorm, Eric S. & Andrew Miller. (2018). Assessing the Value of Transparency in Recommender Systems: An End-User Perspective. IUScholarWorks (Indiana University). 61–68. 2 indexed citations

8.

Vorm, Eric S.. (2018). Assessing Demand for Transparency in Intelligent Systems Using Machine Learning. IUScholarWorks (Indiana University). 1–7. 20 indexed citations

9.

Vorm, Eric S., et al.. (2016). Self-Directed Violence Aboard U.S. Navy Aircraft Carriers: An Examination of General and Shipboard-Specific Risk and Protective Factors. Military Medicine. 181(4). 343–349. 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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