Caleb Robinson

1.5k total citations · 1 hit paper
34 papers, 882 citations indexed

About

Caleb Robinson is a scholar working on Media Technology, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Caleb Robinson has authored 34 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Media Technology, 8 papers in Global and Planetary Change and 6 papers in Artificial Intelligence. Recurrent topics in Caleb Robinson's work include Remote-Sensing Image Classification (8 papers), Automated Road and Building Extraction (4 papers) and Remote Sensing in Agriculture (4 papers). Caleb Robinson is often cited by papers focused on Remote-Sensing Image Classification (8 papers), Automated Road and Building Extraction (4 papers) and Remote Sensing in Agriculture (4 papers). Caleb Robinson collaborates with scholars based in United States, United Kingdom and Germany. Caleb Robinson's co-authors include Bistra Dilkina, Subhrajit Guhathakurta, Marilyn A. Brown, Ram M. Pendyala, Wenwen Zhang, Nebojša Jojić, Juan Lavista Ferres, Juan Moreno‐Cruz, Anthony Ortiz and Le Hou and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Caleb Robinson

31 papers receiving 855 citations

Hit Papers

Machine learning approaches for estimating commercial bui... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning approaches for estimating commercial building energy consumption
    2017 382 citations Caleb Robinson, Bistra Dilkina et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Caleb Robinson United States 12 313 236 188 127 120 34 882
Adrian Albert United States 11 289 0.9× 188 0.8× 654 3.5× 55 0.4× 119 1.0× 23 1.2k
Teresa Santos Portugal 13 159 0.5× 218 0.9× 128 0.7× 51 0.4× 190 1.6× 55 754
Zhen Qian China 15 177 0.6× 219 0.9× 94 0.5× 49 0.4× 199 1.7× 40 789
Teng Zhong China 15 223 0.7× 339 1.4× 134 0.7× 40 0.3× 202 1.7× 33 1.0k
Zhifeng Guo China 16 127 0.4× 329 1.4× 262 1.4× 20 0.2× 110 0.9× 49 926
Luliang Tang China 22 386 1.2× 269 1.1× 53 0.3× 197 1.6× 89 0.7× 84 1.4k
Andreea Julea Italy 13 53 0.2× 128 0.5× 244 1.3× 131 1.0× 33 0.3× 20 785
José Alberto Quintanilha Brazil 15 91 0.3× 196 0.8× 68 0.4× 75 0.6× 43 0.4× 94 1.3k
Manchun Li China 16 92 0.3× 170 0.7× 27 0.1× 34 0.3× 76 0.6× 29 845
Jianzheng Liu China 17 120 0.4× 143 0.6× 467 2.5× 17 0.1× 74 0.6× 60 1.3k

Countries citing papers authored by Caleb Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Caleb Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caleb Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Caleb Robinson. A scholar is included among the top collaborators of Caleb Robinson 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 Caleb Robinson. Caleb Robinson 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
1.
Tadesse, Girmaw Abebe, Laura Ferguson, Caleb Robinson, et al.. (2025). Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators. PLoS ONE. 20(5). e0322959–e0322959.
2.
Klemmer, Konstantin, Esther Rolf, Caleb Robinson, Lester Mackey, & Marc Rußwurm. (2025). SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. Proceedings of the AAAI Conference on Artificial Intelligence. 39(4). 4347–4355. 10 indexed citations
3.
Ferres, Juan Lavista, Felipe Oviedo, Caleb Robinson, et al.. (2024). Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst. Pancreatology. 24(7). 1182–1191. 3 indexed citations
4.
Tadesse, Girmaw Abebe, et al.. (2024). Weak Labeling for Cropland Mapping in Africa. 258–262.
5.
Robinson, Caleb, et al.. (2024). Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. 3162–3172. 9 indexed citations
6.
Kiesecker, Joseph M., Jeffrey S. Evans, James R. Oakleaf, et al.. (2024). Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development. Frontiers in Environmental Science. 12. 12 indexed citations
7.
Khan, Christin Brangwynne, Kimberly T. Goetz, Caleb Robinson, et al.. (2023). A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space. Journal of Marine Science and Engineering. 11(3). 595–595. 12 indexed citations
8.
Fobi, Simone, M. Cardona, Elliott J. Collins, et al.. (2023). Poverty rate prediction using multi-modal survey and earth observation data. 23–29. 1 indexed citations
9.
Kiesecker, Joseph M., K. Nagaraju Shivaprakash, James R. Oakleaf, et al.. (2023). The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands. Land. 12(11). 2049–2049. 1 indexed citations
10.
11.
Li, Zhuohong, Hongyan Zhang, Jiayi Li, et al.. (2022). The Outcome of the 2021 IEEE GRSS Data Fusion Contest—Track MSD: Multitemporal Semantic Change Detection. SHILAP Revista de lepidopterología. 24 indexed citations
12.
Ortiz, Anthony, Joseph M. Kiesecker, Caleb Robinson, et al.. (2022). An Artificial Intelligence Dataset for Solar Energy Locations in India. Scientific Data. 9(1). 497–497. 28 indexed citations
13.
Robinson, Caleb, Marian Blazes, Anthony Ortiz, et al.. (2022). Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement. PLoS ONE. 17(10). e0274098–e0274098. 11 indexed citations
14.
Ortiz, Anthony, Marian Blazes, Caleb Robinson, et al.. (2022). Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes. Scientific Reports. 12(1). 1716–1716. 28 indexed citations
15.
Robinson, Caleb, et al.. (2022). TorchGeo. 1–12. 24 indexed citations
16.
Robinson, Caleb, et al.. (2022). Fast building segmentation from satellite imagery and few local labels. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1462–1470. 11 indexed citations
17.
Yokoya, Naoto, Pedram Ghamisi, Ronny Hänsch, et al.. (2021). 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 9(1). 287–C3. 10 indexed citations
18.
Robinson, Caleb, Nebojša Jojić, Huijun Chen, et al.. (2021). Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 3185–3199. 45 indexed citations
19.
Robinson, Caleb, Bistra Dilkina, & Juan Moreno‐Cruz. (2020). Modeling migration patterns in the USA under sea level rise. PLoS ONE. 15(1). e0227436–e0227436. 53 indexed citations
20.
Robinson, Caleb, Le Hou, Dimitris Samaras, et al.. (2018). Label super-resolution networks.. International Conference on Learning Representations. 8 indexed citations

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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