Harry M. Hersh
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Management Science and Operations Research top 5%
- Experimental and Cognitive Psychology top 10%
- Developmental and Educational Psychology top 10%
- Co-authors
- Alfonso CaramazzaGrover C. GilmoreJacqueline GriffinWarren S. TorgersonThomas S. TullisJohn M. CarrollJonathan GrudinSheryl M. Ehrlich
- Topics
- Visual and Cognitive Learning Processes (3 papers)Statistics Education and Methodologies (1 paper)Speech and dialogue systems (1 paper)
- Cited by
- Human-Computer InteractionManagement Science and Operations ResearchStatistics and Probability
- Journals
- Journal of Experimental Psychology GeneralMemory & CognitionPerception & Psychophysics
- Partner nations
- United StatesGermany
In The Last Decade
Harry M. Hersh
12 papers receiving 495 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 172
- Cognitive Neuroscience 129
- Management Science and Operations Research 129
- Experimental and Cognitive Psychology 98
- Developmental and Educational Psychology 93
Countries citing papers authored by Harry M. Hersh
This map shows the geographic impact of Harry M. Hersh'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 Harry M. Hersh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harry M. Hersh more than expected).
Fields of papers citing papers by Harry M. Hersh
This network shows the impact of papers produced by Harry M. Hersh. 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 Harry M. Hersh. The network helps show where Harry M. Hersh may publish in the future.
Co-authorship network of co-authors of Harry M. Hersh
This figure shows the co-authorship network connecting the top 25 collaborators of Harry M. Hersh. A scholar is included among the top collaborators of Harry M. Hersh 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 Harry M. Hersh. Harry M. Hersh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 50 | |
| 3 | 2 | |
| 4 | The Human Factor: Designing Computer Systems for People | 104 |
| 5 | 3 | |
| 6 | 122 | |
| 7 | 3 | |
| 8 | Statistical methods for technical document retrieval | 2 |
| 9 | 207 | |
| 10 | 14 | |
| 11 | 60 | |
| 12 | 2 | |
| 13 | 12 |
About Harry M. Hersh
Harry M. Hersh is a scholar working on Statistics and Probability, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 13 papers that have together received 582 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (3 papers), Statistics Education and Methodologies (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Human-Computer Interaction (87 citations), Management Science and Operations Research (129 citations) and Statistics and Probability (68 citations). Harry M. Hersh has collaborated with scholars based in United States and Germany. Frequent co-authors include Alfonso Caramazza, Grover C. Gilmore, Jacqueline Griffin, Warren S. Torgerson, Thomas S. Tullis, John M. Carroll, Jonathan Grudin and Sheryl M. Ehrlich. Their work appears in journals such as Journal of Experimental Psychology General, Memory & Cognition and Perception & Psychophysics.
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.