Johan Edstedt

431 total citations
7 papers, 144 citations indexed

About

Johan Edstedt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Johan Edstedt has authored 7 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Johan Edstedt's work include Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers) and Human Pose and Action Recognition (2 papers). Johan Edstedt is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers) and Human Pose and Action Recognition (2 papers). Johan Edstedt collaborates with scholars based in Sweden, China and Hong Kong. Johan Edstedt's co-authors include Michael Felsberg, Mårten Wadenbäck, Ioannis N. Athanasiadis, Qiyu Sun, Dong Wang, Jie Zhao, Huchuan Lu, Fredrik Kahl, Amanda Berg and Johan Karlsson and has published in prestigious journals such as Chalmers Research (Chalmers University of Technology) and 2022 26th International Conference on Pattern Recognition (ICPR).

In The Last Decade

Johan Edstedt

6 papers receiving 142 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan Edstedt Sweden	5	100	58	18	14	10	7	144
Mårten Wadenbäck Sweden	6	121 1.2×	78 1.3×	17 0.9×	14 1.0×	14 1.4×	12	167
Y. Ono Japan	4	93 0.9×	62 1.1×	24 1.3×	5 0.4×	9 0.9×	6	117
Patrick Poirson United States	3	97 1.0×	43 0.7×	46 2.6×	4 0.3×	4 0.4×	3	125
Yingjie Liu China	5	72 0.7×	40 0.7×	33 1.8×	9 0.6×	3 0.3×	14	129
Sudeep Pillai United States	5	64 0.6×	47 0.8×	11 0.6×	8 0.6×	9 0.9×	8	90
Alex Pon Canada	3	186 1.9×	122 2.1×	18 1.0×	11 0.8×	14 1.4×	5	210
Lemeng Wu United States	6	88 0.9×	15 0.3×	32 1.8×	14 1.0×	8 0.8×	10	134
Anton Obukhov Switzerland	6	126 1.3×	9 0.2×	11 0.6×	21 1.5×	17 1.7×	11	183
Xianming Liu China	5	159 1.6×	30 0.5×	29 1.6×	61 4.4×	4 0.4×	15	205
Santiago Manén Switzerland	5	248 2.5×	34 0.6×	51 2.8×	18 1.3×	3 0.3×	5	265

Countries citing papers authored by Johan Edstedt

Since Specialization

Citations

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

Fields of papers citing papers by Johan Edstedt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Edstedt

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

All Works

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7 of 7 papers shown

1.

Edstedt, Johan, et al.. (2024). RoMa: Robust Dense Feature Matching. 19790–19800. 45 indexed citations

2.

Edstedt, Johan, et al.. (2024). DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector. Chalmers Research (Chalmers University of Technology). 4245–4253. 2 indexed citations

3.

Edstedt, Johan, et al.. (2024). Steerers: A Framework for Rotation Equivariant Keypoint Descriptors. Chalmers Research (Chalmers University of Technology). 4885–4895. 5 indexed citations

4.

Zhao, Jie, Johan Edstedt, Michael Felsberg, Dong Wang, & Huchuan Lu. (2024). Leveraging the Power of Data Augmentation for Transformer-based Tracking. 6455–6464. 4 indexed citations

5.

Edstedt, Johan, et al.. (2024). DeDoDe: Detect, Don’t Describe — Describe, Don’t Detect for Local Feature Matching. Chalmers Research (Chalmers University of Technology). 148–157. 26 indexed citations

6.

Edstedt, Johan, Ioannis N. Athanasiadis, Mårten Wadenbäck, & Michael Felsberg. (2023). DKM: Dense Kernelized Feature Matching for Geometry Estimation. 17765–17775. 62 indexed citations

7.

Edstedt, Johan, et al.. (2022). VidHarm: A Clip Based Dataset for Harmful Content Detection. 2022 26th International Conference on Pattern Recognition (ICPR). 1543–1549.

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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