Arthur E.C. Pece

582 total citations
16 papers, 363 citations indexed

About

Arthur E.C. Pece is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Arthur E.C. Pece has authored 16 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Media Technology. Recurrent topics in Arthur E.C. Pece's work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (5 papers) and Gaze Tracking and Assistive Technology (3 papers). Arthur E.C. Pece is often cited by papers focused on Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (5 papers) and Gaze Tracking and Assistive Technology (3 papers). Arthur E.C. Pece collaborates with scholars based in Denmark, United Kingdom and Netherlands. Arthur E.C. Pece's co-authors include Dan Witzner Hansen, Peihua Li, Tianwen Zhang, A. D. Worrall, Nicolai Petkov and Rasmus Larsen and has published in prestigious journals such as Image and Vision Computing, Computer Vision and Image Understanding and Robotics and Autonomous Systems.

In The Last Decade

Arthur E.C. Pece

15 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arthur E.C. Pece Denmark	8	187	164	66	60	44	16	363
Yunfei Liu China	10	164 0.9×	158 1.0×	31 0.5×	16 0.3×	12 0.3×	25	347
Martin Böhme Germany	11	158 0.8×	157 1.0×	47 0.7×	10 0.2×	19 0.4×	21	263
Qin Cai United States	8	133 0.7×	128 0.8×	59 0.9×	6 0.1×	20 0.5×	10	239
Dan Su China	9	339 1.8×	89 0.5×	21 0.3×	39 0.7×	43 1.0×	24	452
Marc Lalonde Canada	8	194 1.0×	59 0.4×	130 2.0×	14 0.2×	37 0.8×	21	353
Constantin Vertan Romania	12	271 1.4×	43 0.3×	9 0.1×	38 0.6×	8 0.2×	78	411
Seyed Mehdi Lajevardi Australia	12	428 2.3×	37 0.2×	23 0.3×	53 0.9×	4 0.1×	22	534
Corneliu Florea Romania	12	240 1.3×	42 0.3×	11 0.2×	30 0.5×	6 0.1×	69	363
İbrahim Furkan İnce Türkiye	8	103 0.6×	45 0.3×	11 0.2×	60 1.0×	8 0.2×	43	249
Jihun Cha South Korea	10	201 1.1×	76 0.5×	18 0.3×	7 0.1×	94 2.1×	63	325

Countries citing papers authored by Arthur E.C. Pece

Since Specialization

Citations

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

Fields of papers citing papers by Arthur E.C. Pece

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arthur E.C. Pece. 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 Arthur E.C. Pece. The network helps show where Arthur E.C. Pece may publish in the future.

Co-authorship network of co-authors of Arthur E.C. Pece

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

All Works

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16 of 16 papers shown

1.

Pece, Arthur E.C. & Rasmus Larsen. (2007). Generative model based vision. Computer Vision and Image Understanding. 106(1). 3–4.

2.

Pece, Arthur E.C.. (2006). On the computational rationale for generative models. Computer Vision and Image Understanding. 106(1). 130–143. 4 indexed citations

3.

Pece, Arthur E.C.. (2006). A Comparison of Active-Contour Models Based on Blurring and on Marginalization. 54. 333–340. 1 indexed citations

4.

Pece, Arthur E.C.. (2005). Contour tracking based on marginalized likelihood ratios. Image and Vision Computing. 24(3). 301–317. 7 indexed citations

5.

Pece, Arthur E.C.. (2005). Preface to Workshop on Generative Model Based Vision. 21. 176–176. 1 indexed citations

6.

Pece, Arthur E.C. & A. D. Worrall. (2005). A comparison between feature-based and EM-based contour tracking. Image and Vision Computing. 24(11). 1218–1232. 4 indexed citations

7.

Hansen, Dan Witzner & Arthur E.C. Pece. (2004). Eye tracking in the wild. Computer Vision and Image Understanding. 98(1). 155–181. 161 indexed citations

8.

Hansen, Dan Witzner & Arthur E.C. Pece. (2004). Eye typing off the shelf. 2. 159–164. 9 indexed citations

9.

Hansen, Dan Witzner & Arthur E.C. Pece. (2004). Iris tracking with feature free contours. 575. 208–214. 11 indexed citations

10.

Li, Peihua, Tianwen Zhang, & Arthur E.C. Pece. (2003). Visual contour tracking based on particle filters. Image and Vision Computing. 21(1). 111–123. 103 indexed citations

11.

Pece, Arthur E.C.. (2003). Generative model based vision. Image and Vision Computing. 21(1). 1–3. 7 indexed citations

12.

Pece, Arthur E.C.. (2002). Generative-model-based tracking by cluster analysis of image differences. Robotics and Autonomous Systems. 39(3-4). 181–194. 8 indexed citations

13.

Pece, Arthur E.C.. (2002). The Problem of Sparse Image Coding. Journal of Mathematical Imaging and Vision. 17(2). 89–108. 24 indexed citations

14.

Pece, Arthur E.C. & Nicolai Petkov. (2002). Fast atomic decomposition by the inhibition method. 3. 211–214. 7 indexed citations

15.

Pece, Arthur E.C., et al.. (1998). A Newton method for pose refinement of 3D models. CentAUR (University of Reading). 3 indexed citations

16.

Pece, Arthur E.C. & A. D. Worrall. (1998). A statistically-based Newton method for pose refinement. Image and Vision Computing. 16(8). 541–544. 13 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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