James Schaffer

595 total citations
16 papers, 406 citations indexed

About

James Schaffer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, James Schaffer has authored 16 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in James Schaffer's work include Complex Network Analysis Techniques (4 papers), Recommender Systems and Techniques (4 papers) and Data Visualization and Analytics (3 papers). James Schaffer is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Recommender Systems and Techniques (4 papers) and Data Visualization and Analytics (3 papers). James Schaffer collaborates with scholars based in United States. James Schaffer's co-authors include John O’Donovan, Tobias Höllerer, Lise Getoor, Pigi Kouki, Jay Pujara, James Michaelis, Laura R. Marusich, Cleotilde González, Michael Yu and Jonathan Z. Bakdash and has published in prestigious journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, International Journal of Human-Computer Studies and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

James Schaffer

16 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Schaffer United States	10	231	136	75	68	62	16	406
Stephan Raaijmakers Netherlands	11	308 1.3×	86 0.6×	53 0.7×	36 0.5×	75 1.2×	44	510
Alon Jacovi Israel	7	348 1.5×	67 0.5×	146 1.9×	59 0.9×	30 0.5×	11	507
Michael Wolverton United States	10	231 1.0×	65 0.5×	30 0.4×	49 0.7×	110 1.8×	20	386
Marcin Gruza Poland	8	405 1.8×	48 0.4×	28 0.4×	42 0.6×	30 0.5×	13	581
Ilaria Tiddi Netherlands	9	198 0.9×	67 0.5×	22 0.3×	21 0.3×	32 0.5×	30	340
Tim Donkers Germany	8	292 1.3×	301 2.2×	31 0.4×	13 0.2×	93 1.5×	19	469
Piotr Miłkowski Poland	10	399 1.7×	44 0.3×	27 0.4×	37 0.5×	28 0.5×	17	581
Ana Marasović United States	8	318 1.4×	33 0.2×	141 1.9×	61 0.9×	35 0.6×	16	456
Kamil Kanclerz Poland	8	359 1.6×	41 0.3×	27 0.4×	35 0.5×	27 0.4×	11	529
Umang Bhatt United Kingdom	10	241 1.0×	22 0.2×	89 1.2×	38 0.6×	20 0.3×	28	381

Countries citing papers authored by James Schaffer

Since Specialization

Citations

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

Fields of papers citing papers by James Schaffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Schaffer

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

All Works

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16 of 16 papers shown

Kouki, Pigi, James Schaffer, Jay Pujara, John O’Donovan, & Lise Getoor. (2020). Generating and Understanding Personalized Explanations in Hybrid Recommender Systems. ACM Transactions on Interactive Intelligent Systems. 10(4). 1–40. 29 indexed citations

Schaffer, James, et al.. (2019). I can do better than your AI. 240–251. 78 indexed citations

O’Donovan, John, et al.. (2019). Knowledge Complacency and Decision Support Systems. 43–51. 14 indexed citations

Kouki, Pigi, James Schaffer, Jay Pujara, John O’Donovan, & Lise Getoor. (2019). Personalized explanations for hybrid recommender systems. 379–390. 96 indexed citations

Schaffer, James, et al.. (2019). Algorithmically identifying strategies in multi-agent game-theoretic environments. 88. 38–38. 6 indexed citations

Ren, Donghao, Laura R. Marusich, John O’Donovan, et al.. (2019). Understanding node-link and matrix visualizations of networks: A large-scale online experiment. Network Science. 7(2). 242–264. 12 indexed citations

Schaffer, James, John O’Donovan, Laura R. Marusich, et al.. (2018). A study of dynamic information display and decision-making in abstract trust games. International Journal of Human-Computer Studies. 113. 1–14. 8 indexed citations

Schaffer, James, John O’Donovan, & Tobias Höllerer. (2018). Easy to Please. 177–185. 2 indexed citations

Kouki, Pigi, James Schaffer, Jay Pujara, John O’Donovan, & Lise Getoor. (2017). User Preferences for Hybrid Explanations. 84–88. 51 indexed citations

10.

Schaffer, James, et al.. (2016). An analysis of student behavior in two massive open online courses. 380–385. 6 indexed citations

11.

Marusich, Laura R., Jonathan Z. Bakdash, Michael Yu, et al.. (2016). Effects of Information Availability on Command-and-Control Decision Making. Human Factors The Journal of the Human Factors and Ergonomics Society. 58(2). 301–321. 43 indexed citations

12.

Schaffer, James, Tobias Höllerer, & John O’Donovan. (2015). Hypothetical Recommendation: A Study of Interactive Profile Manipulation Behavior for Recommender Systems. The Florida AI Research Society. 507–512. 16 indexed citations

13.

Schaffer, James, et al.. (2015). Getting the Message?. 345–356. 27 indexed citations

14.

Schaffer, James, Tarek Abdelzaher, Debra G. Jones, et al.. (2014). Truth, lies, and data: Credibility representation in data analysis. Civil War Book Review. 6. 28–34. 4 indexed citations

15.

Schaffer, James, John O’Donovan, Laura R. Marusich, et al.. (2014). Decision-making in abstract trust games: A user interface perspective. 67. 21–27. 11 indexed citations

16.

Schaffer, James, et al.. (2013). Interactive interfaces for complex network analysis: An information credibility perspective. 464–469. 3 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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