Ross Maciejewski
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- Data Visualization and Analytics 82
- Transportation top 1%
- Human Mobility and Location-Based Analysis 14
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- Computer Graphics and Visualization Techniques 12
- Geography, Planning and Development top 0.5%
- Geographic Information Systems Studies 16
- Signal Processing top 2%
- Data Management and Algorithms 11
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- Data-Driven Disease Surveillance 21
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- Complex Network Analysis Techniques 16
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- Data Analysis with R 12
- Co-authors
- Hanghang TongSi ZhangJiejun XuDavid S. EbertJonas LukasczykAriane MiddelYun JangYafeng Lu
- Cited by
- Computer Vision and Pattern RecognitionTransportationComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Visualization and Computer Graphics (36 papers)IEEE Computer Graphics and Applications (9 papers)Computer Graphics Forum (8 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ross Maciejewski
149 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Computer Vision and Pattern Recognition 1.6k
- Transportation 442
- Computer Graphics and Computer-Aided Design 205
- Geography, Planning and Development 230
- Signal Processing 432
Countries citing papers authored by Ross Maciejewski
This map shows the geographic impact of Ross Maciejewski'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 Ross Maciejewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross Maciejewski more than expected).
Fields of papers citing papers by Ross Maciejewski
This network shows the impact of papers produced by Ross Maciejewski. 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 Ross Maciejewski. The network helps show where Ross Maciejewski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ross Maciejewski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 3 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 160 | |
| 12 | 2018 | 143 | |
| 13 | 2017 | 86 | |
| 14 | 2017 | 7 | |
| 15 | 2016 | 4 | |
| 16 | 2012 | 34 | |
| 17 | Development of a Quick Look Pandemic Influenza Modeling and Visualization Tool | 2010 | 4 |
| 18 | 2010 | 8 | |
| 19 | 2009 | 46 | |
| 20 | 2008 | 10 |
About Ross Maciejewski
Ross Maciejewski is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geography, Planning and Development, Transportation and Ecological Modeling, having authored 152 papers that have together received 4.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (82 papers), Data-Driven Disease Surveillance (21 papers), Complex Network Analysis Techniques (16 papers), Geographic Information Systems Studies (16 papers), Human Mobility and Location-Based Analysis (14 papers), Computer Graphics and Visualization Techniques (12 papers), Data Analysis with R (12 papers) and Data Management and Algorithms (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Transportation (442 citations), Computer Graphics and Computer-Aided Design (205 citations), Geography, Planning and Development (230 citations) and Signal Processing (432 citations). Ross Maciejewski has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hanghang Tong, Si Zhang, Jiejun Xu, David S. Ebert, Jonas Lukasczyk, Ariane Middel, Yun Jang, Yafeng Lu, Wei Chen and Yuxin Ma. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Computer Graphics Forum, Big Data and Information Visualization.
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.