Fred Hohman
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems and Management top 5%
- Information Systems top 5%
- Safety Research top 5%
- Co-authors
- Duen Horng ChauSteven M. DruckerAndrew HeadRobert DeLineNilaksh DasKayur PatelKanit WongsuphasawatRich Caruana
- Topics
- Data Visualization and Analytics (17 papers)Scientific Computing and Data Management (7 papers)Explainable Artificial Intelligence (XAI) (4 papers)
- Cited by
- Health InformaticsInformation Systems and ManagementComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Visualization and Computer GraphicsViewCHI Conference on Human Factors in Computing Systems
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Fred Hohman
23 papers receiving 788 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 415
- Computer Vision and Pattern Recognition 332
- Information Systems and Management 123
- Information Systems 120
- Safety Research 80
Countries citing papers authored by Fred Hohman
This map shows the geographic impact of Fred Hohman'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 Fred Hohman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Hohman more than expected).
Fields of papers citing papers by Fred Hohman
This network shows the impact of papers produced by Fred Hohman. 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 Fred Hohman. The network helps show where Fred Hohman may publish in the future.
Co-authorship network of co-authors of Fred Hohman
This figure shows the co-authorship network connecting the top 25 collaborators of Fred Hohman. A scholar is included among the top collaborators of Fred Hohman 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 Fred Hohman. Fred Hohman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 32 | |
| 8 | 179 | |
| 9 | 81 | |
| 10 | 7 | |
| 11 | 26 | |
| 12 | 24 | |
| 13 | 93 | |
| 14 | 1 | |
| 15 | 129 | |
| 16 | Compression to the Rescue: Defending from Adversarial Attacks Across Modalities | 7 |
| 17 | 11 | |
| 18 | 20 | |
| 19 | 6 | |
| 20 | 30 |
About Fred Hohman
Fred Hohman is a scholar working on Information Systems and Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 24 papers that have together received 808 indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Scientific Computing and Data Management (7 papers) and Explainable Artificial Intelligence (XAI) (4 papers). The work is most often cited by research in Health Informatics (25 citations), Information Systems and Management (123 citations) and Computer Vision and Pattern Recognition (332 citations). Fred Hohman has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Duen Horng Chau, Steven M. Drucker, Andrew Head, Robert DeLine, Nilaksh Das, Kayur Patel, Kanit Wongsuphasawat, Rich Caruana, Mary Beth Kery and Zijie J. Wang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, View and CHI Conference on Human Factors in Computing Systems.
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.