Eric Kolve

2.5k total citations
3 papers, 7 citations indexed

About

Eric Kolve is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Eric Kolve has authored 3 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Eric Kolve's work include Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers) and Topic Modeling (1 paper). Eric Kolve is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers) and Topic Modeling (1 paper). Eric Kolve collaborates with scholars based in United States and South Korea. Eric Kolve's co-authors include Ali Farhadi, Kiana Ehsani, Dustin Schwenk, Aniruddha Kembhavi, Luca Weihs, Roozbeh Mottaghi, Jordi Salvador, Jonghyun Choi, Christopher Clark and Hannaneh Hajishirzi and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Eric Kolve

3 papers receiving 7 citations

Peers — A (Enhanced Table)

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

Name	h					Papers	Cites
Eric Kolve United States	2	5	5	3	1	3	7
J. Lou China	3	6 1.2×	4 0.8×	3 1.0×		6	16
N. Meinert Germany	1	4 0.8×	6 1.2×	2 0.7×		2	14
R. P. Guo China	3	5 1.0×	4 0.8×	2 0.7×		5	14
Yunjie Pan China	2	4 0.8×	7 1.4×	4 1.3×	1 1.0×	4	12
Fan-Yun Sun Taiwan	2	4 0.8×	8 1.6×	3 1.0×		6	18
Kate Baumli United Kingdom	2	3 0.6×	6 1.2×	3 1.0×		2	8
Z. Y. Zhang China	2	7 1.4×	6 1.2×	2 0.7×		6	19
Belinda Z. Li United States	3	4 0.8×	8 1.6×	2 0.7×		3	9
Cyril Zhang United States	3	5 1.0×	10 2.0×	3 1.0×		6	16
Suvir Mirchandani United States	2	9 1.8×	4 0.8×	2 0.7×	1 1.0×	6	15

Countries citing papers authored by Eric Kolve

Since Specialization

Citations

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

Fields of papers citing papers by Eric Kolve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Kolve

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

All Works

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3 of 3 papers shown

1.

Deitke, Matt, et al.. (2022). ProcTHOR: Large-Scale Embodied AI Using Procedural Generation. 5982–5994. 1 indexed citations

2.

Clark, Christopher, Jordi Salvador, Dustin Schwenk, et al.. (2021). Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1864–1886. 1 indexed citations

3.

Weihs, Luca, Aniruddha Kembhavi, Kiana Ehsani, et al.. (2019). Learning Generalizable Visual Representations via Interactive Gameplay. arXiv (Cornell University). 5 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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