A. Moga

590 total citations
13 papers, 397 citations indexed

About

A. Moga is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Water Science and Technology. According to data from OpenAlex, A. Moga has authored 13 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 2 papers in Water Science and Technology. Recurrent topics in A. Moga's work include Digital Image Processing Techniques (9 papers), Medical Image Segmentation Techniques (9 papers) and Hydrology and Watershed Management Studies (2 papers). A. Moga is often cited by papers focused on Digital Image Processing Techniques (9 papers), Medical Image Segmentation Techniques (9 papers) and Hydrology and Watershed Management Studies (2 papers). A. Moga collaborates with scholars based in Germany and Finland. A. Moga's co-authors include Andrzej Bieniek, Moncef Gabbouj, Bogdan Cramariuc, Michael Nölle and Hans Burkhardt and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of Parallel and Distributed Computing.

In The Last Decade

A. Moga

13 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Moga Germany	8	274	49	44	29	24	13	397
Yuh-Tay Liow United States	5	395 1.4×	136 2.8×	57 1.3×	82 2.8×	29 1.2×	9	543
Ralf R. Kohler United States	5	219 0.8×	63 1.3×	40 0.9×	15 0.5×	15 0.6×	6	310
Stéphanie Jehan‐Besson France	13	488 1.8×	54 1.1×	50 1.1×	16 0.6×	36 1.5×	23	555
В. В. Старовойтов Belarus	10	200 0.7×	62 1.3×	58 1.3×	9 0.3×	11 0.5×	45	400
Xiwei Ren China	2	128 0.5×	25 0.5×	24 0.5×	18 0.6×	11 0.5×	6	305
Shouxian Cheng United States	5	309 1.1×	100 2.0×	69 1.6×	23 0.8×	12 0.5×	5	432
P. Saint-Marc United States	5	358 1.3×	83 1.7×	21 0.5×	10 0.3×	15 0.6×	10	427
Ben Appleton Australia	9	198 0.7×	39 0.8×	18 0.4×	24 0.8×	27 1.1×	19	290
André Bleau Canada	5	186 0.7×	34 0.7×	35 0.8×	17 0.6×	30 1.3×	6	376
David W. Paglieroni United States	11	279 1.0×	57 1.2×	17 0.4×	51 1.8×	9 0.4×	36	396

Countries citing papers authored by A. Moga

Since Specialization

Citations

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

Fields of papers citing papers by A. Moga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Moga

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

All Works

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13 of 13 papers shown

1.

Moga, A. & Moncef Gabbouj. (2002). A parallel marker based watershed transformation. 1. 137–140. 5 indexed citations

2.

Moga, A., Bogdan Cramariuc, & Moncef Gabbouj. (2002). An efficient watershed segmentation algorithm suitable for parallel implementation. Proceedings - International Conference on Image Processing. 2. 101–104. 20 indexed citations

3.

Bieniek, Andrzej & A. Moga. (2000). An efficient watershed algorithm based on connected components. Pattern Recognition. 33(6). 907–916. 198 indexed citations

4.

Moga, A., et al.. (1998). A connected component approach to the watershed segmentation. 215–222. 20 indexed citations

5.

Moga, A. & Moncef Gabbouj. (1998). Parallel Marker-Based Image Segmentation with Watershed Transformation. Journal of Parallel and Distributed Computing. 51(1). 27–45. 36 indexed citations

6.

Moga, A., Bogdan Cramariuc, & Moncef Gabbouj. (1998). Parallel watershed transformation algorithms for image segmentation. Parallel Computing. 24(14). 1981–2001. 16 indexed citations

7.

Moga, A. & Moncef Gabbouj. (1997). Parallel image component labelling with watershed transformation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 19(5). 441–450. 67 indexed citations

8.

Moga, A. & Moncef Gabbouj. (1997). Optimal parallel watershed algorithm based on image integration and sequential scannings. 3166. 104. 1 indexed citations

9.

Gabbouj, Moncef, A. Moga, & Bogdan Cramariuc. (1995). A Parallel Watershed Algorithm Based on Rainfalling Simulation. 12 indexed citations

10.

Gabbouj, Moncef, Bogdan Cramariuc, & A. Moga. (1995). Image Segmentation by Component Labeling. 2 indexed citations

11.

Moga, A. & Moncef Gabbouj. (1995). A parallel watershed algorithm based on the shortest paths computation. 7 indexed citations

12.

Moga, A., et al.. (1995). Parallel Watershed Algorithm Based on Sequential Scanning. FreiDok plus (Universitätsbibliothek Freiburg). 11 indexed citations

13.

Gabbouj, Moncef, Bogdan Cramariuc, & A. Moga. (1995). A Parallel Watershed Algorithm Based on the Shortest Path Computation. 2 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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