Leanna House

1.6k total citations
40 papers, 1.0k citations indexed

About

Leanna House is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Leanna House has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Leanna House's work include Data Visualization and Analytics (17 papers), Data Analysis with R (8 papers) and Video Analysis and Summarization (6 papers). Leanna House is often cited by papers focused on Data Visualization and Analytics (17 papers), Data Analysis with R (8 papers) and Video Analysis and Summarization (6 papers). Leanna House collaborates with scholars based in United States, Panama and Australia. Leanna House's co-authors include Scotland Leman, Chris North, Jenifer B. Walke, Stephen C. Loftus, Lisa K. Belden, Matthew H. Becker, Roderick V. Jensen, Chao Han, Alex Endert and John Wenskovitch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Leanna House

39 papers receiving 1.0k citations

Peers

Leanna House
Comparison fields: 5 of 139
  • Computer Vision and Pattern Recognition 347
  • Global and Planetary Change 246
  • Artificial Intelligence 218
  • Molecular Biology 196
  • Microbiology 146
Replace Romain Vuillemot with:
Romain Vuillemot France
Yuanchun Zhou China
Luana Micallef Finland
Colin Aitken United Kingdom
K. V. Kale India
Gail Rosen United States
J.E. den Hartog Netherlands
Alan Dorin Australia
Thomas M. Gerig United States
Romain Vuillemot France View profile →
Citations per field, relative to Leanna House
Leanna House · 1×
Citations per year, relative to Leanna House
Leanna House · 1×

Countries citing papers authored by Leanna House

Since Specialization
Citations

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

Fields of papers citing papers by Leanna House

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leanna House

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 5
4 2
5
Predicting station locations in bike-sharing systems using a proposed quality-of-service measurement: Methodology and case study
2
6 7
7
Bringing interactive visual analytics to the classroom for developing EDA skills
4
8 19
9 45
10 3
11 11
12 98
13 23
14 49
15 28
16 33
17 9
18 103
19 4
20
Classification, Clustering, and Data Mining Applications: Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), ... Data Analysis, and Knowledge Organization)
8

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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