Carol C. Lochbaum
- Information Systems top 5%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Thomas K. LandauerLouis M. GomezDennis E. EganJoel R. RemdeJennifer L. EberhardtV. A. VyssotskyMark RosensteinMichael Lesk
- Topics
- Visual and Cognitive Learning Processes (3 papers)Advanced Text Analysis Techniques (3 papers)Statistics Education and Methodologies (2 papers)
- Journals
- Communications of the ACMThe Journal of the Acoustical Society of AmericaACM Transactions on Information Systems
- Partner nations
- United States
In The Last Decade
Carol C. Lochbaum
11 papers receiving 358 citations
Peers
Comparison fields: 5 of 57
- Information Systems 185
- Human-Computer Interaction 156
- Artificial Intelligence 148
- Information Systems and Management 89
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Carol C. Lochbaum
This map shows the geographic impact of Carol C. Lochbaum'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 Carol C. Lochbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol C. Lochbaum more than expected).
Fields of papers citing papers by Carol C. Lochbaum
This network shows the impact of papers produced by Carol C. Lochbaum. 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 Carol C. Lochbaum. The network helps show where Carol C. Lochbaum may publish in the future.
Co-authorship network of co-authors of Carol C. Lochbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Carol C. Lochbaum. A scholar is included among the top collaborators of Carol C. Lochbaum 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 Carol C. Lochbaum. Carol C. Lochbaum 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 | 9 | |
| 3 | Acquiring information in books and superbooks | 20 |
| 4 | 38 | |
| 5 | 41 | |
| 6 | 206 | |
| 7 | 65 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 44 | |
| 11 | 1 |
About Carol C. Lochbaum
Carol C. Lochbaum is a scholar working on Human-Computer Interaction, Information Systems and Statistics and Probability, having authored 11 papers that have together received 442 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (3 papers), Advanced Text Analysis Techniques (3 papers) and Statistics Education and Methodologies (2 papers). The work is most often cited by research in Human-Computer Interaction (156 citations), Information Systems and Management (89 citations) and Information Systems (185 citations). Carol C. Lochbaum has collaborated with scholars based in United States. Frequent co-authors include Thomas K. Landauer, Louis M. Gomez, Dennis E. Egan, Joel R. Remde, Jennifer L. Eberhardt, V. A. Vyssotsky, Mark Rosenstein, Michael Lesk, Michael L. Littman and Louis M. Gomez. Their work appears in journals such as Communications of the ACM, The Journal of the Acoustical Society of America and ACM Transactions on Information 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.