M. Marra

717 total citations
11 papers, 471 citations indexed

About

M. Marra is a scholar working on Oceanography, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, M. Marra has authored 11 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oceanography, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Aerospace Engineering. Recurrent topics in M. Marra's work include Underwater Acoustics Research (3 papers), Soil Moisture and Remote Sensing (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). M. Marra is often cited by papers focused on Underwater Acoustics Research (3 papers), Soil Moisture and Remote Sensing (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). M. Marra collaborates with scholars based in United States and Germany. M. Marra's co-authors include David G. Morgenthaler, Keith Gremban, Matthew A. Turk, W.K. Stewart, Min Jiang, Cabell S. Davis, He Huang, Scott M. Gallager, Luc Vincent and Xiaoou Tang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence Review and IEEE Journal of Oceanic Engineering.

In The Last Decade

M. Marra

11 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Marra United States	7	264	160	113	84	49	11	471
Nathaniel Fairfield United States	11	245 0.9×	275 1.7×	82 0.7×	53 0.6×	173 3.5×	15	525
Miquel Massot‐Campos Spain	16	212 0.8×	217 1.4×	39 0.3×	120 1.4×	284 5.8×	45	759
Zhenwei Shi China	13	589 2.2×	158 1.0×	22 0.2×	18 0.2×	53 1.1×	24	1.2k
Ruyan Zhou China	12	206 0.8×	117 0.7×	11 0.1×	54 0.6×	74 1.5×	53	532
Spartacus Gomáriz Castro Spain	12	54 0.2×	82 0.5×	35 0.3×	55 0.7×	209 4.3×	61	574
Arvind Pereira United States	9	137 0.5×	64 0.4×	14 0.1×	55 0.7×	221 4.5×	18	369
Minsu Kim South Korea	10	112 0.4×	43 0.3×	18 0.2×	63 0.8×	23 0.5×	57	426
Jingxuan Sun China	16	171 0.6×	315 2.0×	23 0.2×	18 0.2×	53 1.1×	32	677
Alessandro Lapini Italy	10	363 1.4×	259 1.6×	28 0.2×	34 0.4×	23 0.5×	40	755

Countries citing papers authored by M. Marra

Since Specialization

Citations

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

Fields of papers citing papers by M. Marra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Marra

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Marra, M., et al.. (2005). Monitoring Subsidence Trends in Phoenix With SAR Interferometry. AGU Fall Meeting Abstracts. 2005. 2 indexed citations

2.

Turk, Matthew, David G. Morgenthaler, Keith Gremban, & M. Marra. (2005). Video road-following for the autonomous land vehicle. 4. 273–280. 6 indexed citations

3.

Stewart, W.K., M. Marra, & Min Jiang. (2005). A Hierarchical Approach To Seafloor Classification Using Neural Networks. 1. 109–113. 8 indexed citations

4.

Jiang, Min, W.K. Stewart, & M. Marra. (2002). Segmentation of seafloor sidescan imagery using Markov random fields and neural networks. III456–III461. 10 indexed citations

5.

Marra, M., R. Carande, & Franz Leberl. (1998). Accuracy of DEMs from Remotely Sensed Radar Images. 1 indexed citations

6.

Tang, Xiaoou, W.K. Stewart, He Huang, et al.. (1998). Automatic Plankton Image Recognition. Artificial Intelligence Review. 12(1-3). 177–199. 89 indexed citations

7.

Marra, M., et al.. (1998). Automated DEM extraction using RADARSAT ScanSAR stereo data. 2351–2353 vol.5. 5 indexed citations

8.

Carande, R., et al.. (1998). Automated mapping using airborne IFSAR data. 360–362 vol.1. 3 indexed citations

9.

Stewart, W.K., Min Jiang, & M. Marra. (1994). A neural network approach to classification of sidescan sonar imagery from a midocean ridge area. IEEE Journal of Oceanic Engineering. 19(2). 214–224. 52 indexed citations

10.

Marra, M., et al.. (1989). Terrain Classification Using Texture For The ALV. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1007. 64–64. 18 indexed citations

11.

Turk, Matthew A., David G. Morgenthaler, Keith Gremban, & M. Marra. (1988). VITS-a vision system for autonomous land vehicle navigation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 10(3). 342–361. 277 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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